[1]

Y. Blanco-Archilla, Z. Santiago, and J. Principe. Alternative statistical gaussianity measure using the cumulative density function. In Proc. 2nd Intl. Workshop on Independent Component Analysis (ICA '00), Helsinki, Finland, 2000. (PDF)

[2]

V. Brennan and J. Principe. Multiresolution using principle component analysis. In Proc. IEEE Intl. Conf. on Acoustic, Speech and Signal Proc. (ICASSP '00), 2000. accepted. (PDF)

[3]

D. Erdogmus and J. Principe. Comparison of entropy and mean square error criteria in adaptive system training using higher order statistics. In Proc. 2nd Intl. Workshop on Independent Component Analysis (ICA '00), Helsinki, Finland, 2000. (PDF)

[4]

N. Euliano and J. Principe. Dynamic subgrouping in rtrl provides a faster o(n2) algorithm. In Proc. IEEE Intl. Conf. on Acoustic, Speech and Signal Proc. (ICASSP '00), 2000. accepted. (PDF)

[5]

C. Fancourt and J. Principe. On the relation between the karhunen-loeve transform and the prolate spheroidal wave functions. In Proc. IEEE Intl. Conf. on Acoustic, Speech and Signal Proc. (ICASSP '00), 2000. accepted. (PDF)

[6]

C. Fancourt and J. Principe. On the use of neural networks in the generalized likelihood ratio test for detecting abrupt changes in signals. In Proc. IJCNN 2000, Como, Italy, 2000. accepted. (PDF)

[7]

E. Gokcay and J. Principe. A new clustering evaluation function using renyi's information potential. In Proc. IEEE Intl. Conf. on Acoustic, Speech and Signal Proc. (ICASSP '00), 2000. accepted. (PDF)

[8]

E. Haselsteiner and J. Principe. Supervised learning without numerical targets - an information theoretic approach. In Eusipco, Finland, 2000. accepted. (PDF)

[9]

J. Principe, N. Euliano, and C. Lefebvre. Innovating adaptive and neural systems instruction with interactive electronic books. Proc. IEEE, 88(1):81-95, 2000. (PDF)

[10]

J. Principe, D. Xu, Q. Zhao, and J. Fisher. Learning from examples with information theoretic criteria. VLSI Signal Proc. Systems, special issue on neural networks, 2000. accepted. (PDF)

[11]

Y. Rao and J. Principe. A fast on-line generalized eigendecomposition algorithm for time series segmentation. In Symposium 2000 on Adaptive Systems for Signal Proc. Commun. and Controls, Alberta, Canada, 2000. accepted.

[12]

A. Teixeira, F. Vaz, and J. Principe. Nasal vowels following a nasal consonant. In 5th CREST Workshop on Speech Producion, Bavaria, Germany, 2000. accepted.

[13]

Q. Zhao and J. Principe. Forming large margins with support vector machines for synthetic aperture radar automatic target recognition. IEEE Trans. Aerospace and Electronic Systems, 2000. submitted.

[14]

Q. Zhao, J. Principe, V. Brennan, D. Xu, and Z. Wang. Synthetic aperture radar automatic target recognition with three strategies of learning and representation. Optical Engr., special issue on ATR, 39(5):1230-1244, 2000. (PDF)

[15]

N. Euliano and J. Principe. A spatio-temporal memory based on soms with activity diffusion. In Workshop on Self-Organizing Maps, pages 253-266, Helsinki, Finland, 1999. invited paper. (PDF)

[16]

J. Harris, C. Pu, and J. Principe. A biologically inspired monaural sound localizer. Analog Integrated Circuits and Signal Proc., 1999.

[17]

K. Karthik, J. Principe, and D. Childers. Nonlinear dynamic analysis of the voice excitation for improved speech synthesis. In Proc. IEEE Intl. Conf. on Acoustic, Speech and Signal Proc. (ICASSP '99), 1999.

[18]

C. Mejuto and J. Principe. A second order method for blind source separation of convolutive mixtures. In Proc. 1st Intl. Workshop on Independent Component Analysis (ICA '99), pages 395-400, Aussois, France, 1999.

[19]

J. Principe and D. Xu. Information-theoretic learning using renyi's quadratic entropy. In Proc. 1st Intl. Workshop on Independent Component Analysis (ICA '99), pages 407-412, Aussois, France, 1999. (PDF)

[20]

J. Principe, D. Xu, and J. Fisher. Information-Theoretic Learning, chapter 7. Wiley, 1999. (PDF)

[21]

A. Teixeira, F. Vaz, and J. Principe. Effects of source-tract interaction in perception of nasality. In Proc. EuroSpeech '99, volume 1, pages 161-164, Budapest, Hungary, 1999.

[22]

A. Teixeira, F. Vaz, and J. Principe. Influence of dynamics in the perceived naturalness of portuguese nasal vowels. In Proc. XIVth Intl. Congress on Phonetic Science, pages 234-238, San Francisco, CA, 1999.

[23]

C. Wang and J. Principe. Training neural networks with additive noise in the desired signal. IEEE Trans. Neural Networks, 10(6):1511-1517, 1999. (PDF)

[24]

H. Wu and J. Principe. Generalized anti-hebbian learning for source separation. In Proc. IEEE Intl. Conf. on Acoustic, Speech and Signal Proc. (ICASSP '99), 1999. (PDF)

[25]

H. Wu and J. Principe. Novel quadratic gaussianity measures and their application in blind source separation/extraction. In IEEE Workshop on Neural Networks for Signal Proc., pages 58-66, Madison, WI, 1999. (PDF)

[26]

H. Wu and J. Principe. Simultaneous diagonalization in the frequency domain (sdif) for source separation. In Proc. 1st Intl. Workshop on Independent Component Analysis (ICA '99), pages 245-250, Aussois, France, 1999. (PDF)

[27]

D. Xu and J. Principe. Training mlps layer-by-layer with the information potential. In Proc. IJCNN '99, Washington, 1999. (PDF)

[28]

D. Xu and J. Principe. Training mlps layer-by-layer with the information potential. In Proc. IEEE Intl. Conf. on Acoustic, Speech and Signal Proc. (ICASSP '99), 1999. (PDF)

[29]

D. Xu, J. Principe, and H. Wu. Generalized eigen-decomposition with an on-line local algorithm. IEEE Signal Proc. Letters, 5(11):298-301, 1999. (PDF)

[30]

Q. Zhao and J. Principe. Support vector machines for synthetic aperture radar automatic target recognition. In Automatic target recognition IX, volume 3718, pages 101-107, SPIE Conf., Orlando, FL, 1999. (PDF)

[31]

M. Boillot and J. Principe. An algorithm development and support database for mstar. In Image Understanding Workshop '98, volume 2, pages 821-825, Pacific Grove, Canada, 1998.

[32]

V. Brennan and J. Principe. Face classification using pca and multiresolution. In Proc. IEEE Workshop on Neural Networks for Signal Processing '98, pages 506-515, 1998.

[33]

F. Candocia and J. Principe. A method using multiple models to super-resolve sar imagery. In Ed Zelnio, editor, Proc. SPIE '98, Algorithms for synthetic aperture radar imagery V, volume 3370, pages 197-207, 1998.

[34]

F. Candocia and J. Principe. Super-resolution of images based on local correlations. IEEE Trans. Neural Networks, 10(2):372-380, 1998. (PDF)

[35]

H. Cochofel, D. Wooten, and J. Principe. A neural network environment for adaptive inverse control. In Proc. of IJCNN '98, volume 2, page 963, 1998. (PDF)

[36]

K. Coggins and J. Principe. Detection and classification of insect sounds in a grain silo using neural networks. In Proc. of IJCNN '98, volume 3, pages 1760-1764, 1998.

[37]

N. Euliano and J. Principe. Temporal plasticity in self-organizing networks. In Proc. of IJCNN '98, volume 2, pages 1063-1067, 1998. (PDF)

[38]

C. Fancourt and J. Principe. Modeling time dependencies in the mixture of experts. In Proc. of IJCNN '98, volume 3, pages 2324-2328, 1998. (PDF)

[39]

J. Fisher and J. Principe. Blind source separation by interactions of output signals. In IEEE Workshop on Sig. Proc. DSP '98, Utah, 1998. (PDF)

[40]

J. Fisher and J. Principe. A methodology for information theoretic feature extraction. In Proc. IJCNN '98, volume 3, pages 1712-1716, 1998.

[41]

S. Haykin and J. Principe. Dynamic modeling with neural networks. IEEE Signal Processing Magazine, 15(3):66, 1998.

[42]

J. Hwang, S. Kung, M. Niranjan, and J. Principe. The past, present, and future of neural networks for signal processing. IEEE Signal Processing Magazine, pages 28-48, Nov 1998.

[43]

J. Principe. Statistically independent feature extraction for sar imagery. In Image Understanding Workshop, Pacific Grove, Canada, 1998. (PDF)

[44]

J. Principe and D. Xu. Learning from examples with quadratic mutual information. In Proc. of Machines that Learn, Snowbird, Utah, 1998. (PDF)

[45]

J. Principe, N. Euliano, and C. Lefebvre. An interactive learning environment for adaptive systems instruction. In Proc. ICASSP '98, volume 3, pages 1901-1904, Piscataway, NJ, 1998. (PDF)

[46]

J. Principe, N. Euliano, and C. Lefebvre. Teaching adaptive systems with an interactive, electronic book. In Proc. CALISCE '98, pages 319-324, Chalmer U., Sweden, 1998. (PDF)

[47]

J. Principe, M. Kim, and J. Fisher. Target discrimination in synthetic aperture radar (sar) using artificial neural networks. IEEE Trans. Image Processing, special issue on neural networks, 7(8):1136-1149, 1998. (PDF)

[48]

J. Principe, L. Wang, and M. Motter. Local dynamic modeling with self-organizing maps and applications to nonlinear system identification and control. IEEE Proc., special issue on Intelligent Signal Proc., 86(11):2240-2258, 1998. (PDF)

[49]

J. Principe, Q. Zhao, and D. Xu. A novel classifier architecture exploiting pose estimation for sar/atr. In Image Understanding Workshop '98, volume 2, pages 833-837, Pacific Grove, Canada, 1998. (PDF)

[50]

V. Tavares and J. Principe. Discrete network implementation of kii and kiii freeman models. In Proc. of IJCNN '98, volume 2, pages 1488-1492, 1998. (PDF)

[51]

V. Tavares and J. Principe. Towards a silicon implementation of the olfactory system. In Proc. International Conf. on Electronics, Circuits and Systems, volume 2, pages 131-134, 1998.

[52]

A. Teixeira, F. Vaz, and J. Principe. Some studies of european portuguese nasal vowels using an articulatory symthesizer. In 5th IEEE Int. Conf. Elec. Circ. and Syst., volume 3, pages 205-208, Lisbon, Portugal, 1998.

[53]

H. Wu and J. Principe. Minimum entropy algorithms for source separation. In Proceeding of IEEE 41st Midwest Symposium on Circuits and Systems, pages 242-245, Notre Dame, Indiana, 1998. (PDF)

[54]

H. Wu and J. Principe. Simultaneous diagonalization algorithm for blind source separation based on sub-band filtered features. In Proceedings of SPIE - Conference of The International Society for Optical Engineering, volume 3374, pages 466-474, Orlando, Florida, 1998. (PDF)

[55]

H. Wu, J. Principe, and D. Xu. Exploring the time-frequency microstructure of speech for blind source separation. In Proc. ICASSP '98, volume 2, pages 1145-1148, Piscataway, NJ, 1998. (PDF)

[56]

D. Xu and J. Principe. Learning from examples with quadratic mutual information. In Proc. IEEE Workshop on Neural Networks for Signal Processing '98, pages 155-164, 1998. (PDF)

[57]

D. Xu, J. Fisher, and J. Principe. Mutual information approach to pose estimation. In Ed Zelnio, editor, Proc. SPIE '98, Algorithms for synthetic aperture radar imagery V, volume 3370, pages 218-229, 1998. (PDF)

[58]

D. Xu, J. Principe, J. Fisher, and H. Wu. A novel measure for independent component analysis (ica). In Proc. ICASSP '98, volume 2, pages 1161-1164, 1998. (PDF)

[59]

D. Xu, J. Principe, and H. Wu. A principle component network for generalized eigen-decomposition. In Proc. of IJCNN '98, volume 2, page 849, 1998.

[60]

Q. Zhao, D. Xu, and J. Principe. Pose estimation for sar automatic target recognition. In Image Understanding Workshop '98, volume 2, pages 827-831, Pacific Grove, Canada, 1998. (PDF)

[61]

F. Candocia and J. Principe. Comments on sinc interpolation of discrete periodic signals. IEEE Trans. Signal Processing, 46(7):2044-2046, 1997. (PDF)

[62]

F. Candocia and J. Principe. A neural implementation of interpolation with a family of kernels. In Proc. ICNN '97, volume 3, pages 1506-1511, 1997. (PDF)

[63]

F. Candocia and J. Principe. A self-organizing principle for segmenting and super-resolving isar images. In Proc. of the Image Understanding Workshop, pages 1161-1166, New Orleans, LA, 1997. (PDF)

[64]

C. Fancourt and J. Principe. Competitive principle component analysis for locally stationary time series. IEEE Trans. Signal Processing, 46(11):3068-3082, 1997. (PDF)

[65]

C. Fancourt and J. Principe. Soft competition principal component analysis using the mixture of experts. In Proc. of the Image Understanding Workshop, pages 1071-1076, New Orleans, LA, 1997. (PDF)

[66]

C. Fancourt and J. Principe. Temporal self-organization through competitive prediction. In Proc. ICASSP '97, volume 4, pages 3325-3329, Seattle, WA, 1997. (PDF)

[67]

J. Fisher and J. Principe. Entropy manipulation of arbitrary nonlinear mappings. In Proc. IEEE Workshop on Neural Networks for Signal Proc. '97, pages 14-23, Amelia Island, FL, 1997. (PDF)

[68]

J. Fisher and J. Principe. A nonparametric methodology for information theoretic feature extraction. In Proc. of the Image Understanding Workshop, pages 1077-1084, New Orleans, LA, 1997. (PDF)

[69]

J. Fisher and J. Principe. Recent advances to nonlinear mace filters. Optical Engineering, 36(10):2697-2709, 1997. (PDF)

[70]

J. Harris, J. Juan, and J. Principe. Analog hardware implementations of continuous-time adaptive filter structures. International Journal of Integrated Circuits and Signal Processing, 18(2/3):209-227, 1997.

[71]

J. Juan, J. Harris, and J. Principe. Analog hardware implementation of adaptive filter structures. In Proc. ICNN '97, volume 2, pages 916-921, Houston, TX, 1997.

[72]

J. Juan, J. Harris, and J. Principe. Locally recurrent networks with multiple time scales. In Proc. IEEE Workshop on Neural Networks for Signal Proc. '97, pages 645-644, Amelia Island, FL, 1997.

[73]

M. Motter and J. Principe. Neural control of the nasa langley 16-foot transonic tunnel. In Proc. American Control Conference, Albuqerque, NM, 1997.

[74]

J. Principe. Neural networks for signal processing. In Proc. 1st Euro. Conf. Nonlinear Sig. Proc., pages 60-64, Prague, 1997.

[75]

J. Principe and D. Xu. Feature extraction with on-line pca, lda and constrained lda. In Proc. IEEE Workshop on Neural Networks for Signal Proc. '97, pages 286-297, Amelia Island, FL, 1997.

[76]

J. Principe, S. Celebi, B. deVries, and J. Harris. Temporal Dynamics in Neural Networks, chapter Locally recurrent networks: the gamma operator, properties and extensions. Academic Press, 1997.

[77]

J. Principe, L. Wang, and J. Kuo. Nonlinear dynamic modeling with neural networks. In The first European Conference on Signal Analysis and Prediction, 1997. (PDF)

[78]

J. Principe, D. Xu, and C. Wang. Generalized oja's rule for linear discriminant analysis with fisher criterion. In Proc. ICASSP '97, volume 4, pages 3401-3404, Seattle, WA, 1997.

[79]

O. Schwartz, J. Harris, and J. Principe. Modeling the precedence effect for speech signals. Neural Networks, 12:409-417, 1997.

[80]

A. Teixeira, F. Vaz, and J. Principe. A software tool to study portuguese vowels. In Proc. EuroSpeech '97, volume 5, pages 2543-2546, Rhodes, Greece, 1997.

[81]

H. Wu and J. Principe. A unifying criterion for blind source separation and decorrelation: Simultaneous diagonalization of correlation matrices. In Proc. IEEE Workshop on Neural Networks for Signal Proc. '97, pages 496-505, Amelia Island, FL, 1997. (PDF)

[82]

L. Yen and J. Principe. Adaptive target detection in uwb images using laguerre networks. In Proc. ICNN '97, volume 4, pages 2072-2075, Houston, TX, 1997.

[83]

L. Yen and J. Principe. Target detection in uwb images using temporal fusion. In Proc. of the Image Understanding Workshop, volume 2, pages 1155-1160, New Orleans, LA, 1997.

[84]

L. Yen, J. Principe, and J. Fisher. Focus of attention in uwb sar images using recurrent networks. In Proc. SPIE '97, volume 4, pages 3115-3118, 1997.

[85]

W. Edmonson, K. Srinivasan, C. Wang, and J. Principe. A global least square algorithm for adaptive iir filtering. IEEE Trans. on Circuits and Systems, 45(3):379-384, 1996.

[86]

W. Edmonson, K. Srinivasan, C. Wang, and J. Principe. State of the art in global optimization, chapter Stochastic approximation with smoothing for optimization of an adaptive recursive filter, pages 249-265. Kluwer, 1996.

[87]

N. Euliano and J. Principe. Spatio-temporal self-organizing feature maps. In Proc. ICNN '96, volume 4, pages 1900-1905, Washington, 1996. (PDF)

[88]

N. Euliano, J. Principe, and P. Kulzer. A self-organizing temporal pattern recognizer with application to robot landmark recognition. SpatioTemporal Models in Biological and Artifical Systems, pages 41-48, 1996. (PDF)

[89]

C. Fancourt and J. Principe. A neighborhood map of competing one step predictors for piecewise segmentation and identification of time series. In Proc. ICNN '96, volume 4, pages 1906-1911, Washington, 1996. (PDF)

[90]

C. Fancourt and J. Principe. Temporal self-organization through competitive prediction. In Yale Workshop on Adaptive Systems, pages 8-12, 1996. invited paper. (PDF)

[91]

J. Fisher and J. Principe. Unsupervised learning for nonlinear synthetic discriminant functions. In Proc. SPIE '96, volume 2752, pages 2-13, Orlando, FL, 1996. (PDF)

[92]

L. Fu, H. Hsu, and J. Principe. Incremental backpropagation networks. IEEE Trans. Neural Network, 7(13):757-761, 1996.

[93]

H. Hsu, L. Fu, and J. Principe. Context analysis by the gamma network. In Proc. ICNN '96, pages 682-687, Washington, 1996.

[94]

L. Iasemidis, J. Principe, R. Czaplewski, R. Gilmore, and J. Sackellares. Spatiotemporal transition to epileptic seizures, pages 81-88. ISO Press, Amsterdam, 1996.

[95]

M. Ismail and J. Principe. Eqivalence between the rls algorithms and the ridge regression techniques. In Proc. ASILOMAR '96, volume 2, pages 1083-1087, 1996.

[96]

D. Jones and J. Principe. Optimal paramter estimation of the laguerre filter via the complex performance function. In Proc. ASILOMAR '96, volume 2, pages 805-808, 1996.

[97]

J. Juan, J. Harris, and J. Principe. Analog vlsi implementations of continuous time memory structures. In Proc. IEEE International Symposium on Circuits and Systems, volume 3, pages 338-340, Atlanta, GA, 1996. (PDF)

[98]

M. Kim and J. Principe. A new cfar stencil for target detection in synthetic aperture radar imagery. In Proc. SPIE '96, volume 2757, pages 432-442, Orlando, FL, 1996.

[99]

J. Kuo and J. Principe. Speech classification using a modified focused gamma network. In Proc. ICNN96, Washington D.C., 1996.

[100]

C. Lefebvre and J. Principe. Competitive discriminant function networks: A novel unsupervised algorithm to find modal boundaries. In Proc. World Conf. on Neural Networks '96, pages 359-362, San Diego, CA, 1996.

[101]

J. Principe. The Electrical Engineering Handbook, chapter Artificial Neural Networks, pages 473-486. CRC Press, 1996.

[102]

J. Principe, C. Wang, and H. Wu. Temporal decorrelation using teacher forcing anti-hebbian learning and its application in adaptive blind source separation. In IEEE Workshop Neural Networks for Signal Processing '96, Japan, 1996. (PDF)

[103]

O. Schwartz, J. Harris, and J. Principe. Modeling the precedence effect for speech signals. In Proc. 5th Annual Comp. Neuroscience Meeting CNS `96, pages 819-826, Boston, MA, 1996.

[104]

C. Wang, H. Wu, and J. Principe. A cost function for robust estimation of pca. In SPIE, volume 2760, pages 120-127, Orlando, FL, 1996. (PDF)

[105]

C. Wang, L. Yen, and J. Principe. Detection of random vectors using an unsupervised neural network. In SPIE, volume 2760, pages 523-532, Orlando, FL, 1996. (PDF)

[106]

C. Wang, L. Yen, and J. Principe. On-line transform domain lms algorithm implemented with pca learning. In Proc. World Conf. on Neural Networks '96, pages 599-602, 1996. (PDF)

[107]

D. Xu, C. Fancourt, and C. Wang. Multi-channel hmm. In ICASSP, volume 2, pages 841-844, Atlanta, GA, 1996. (PDF)

[108]

S. Celebi and J. Principe. Magnitude spectral estimation via poisson moments with application to speech recognition. In Proc. ICASSP '95, pages 393-396, 1995. (PDF)

[109]

S. Celebi and J. Principe. Parametric least squares approximation using gamma bases. IEEE Trans. Signal Processing, 43(3):781-784, 1995. (PDF)

[110]

D. Childers, J. Principe, Y. Ting, and K. Lee. Adaptive wrls-vff for speech analysis. IEEE Trans. Signal Processing, 3(3):209-213, 1995.

[111]

C. Fancourt, N. Euliano, and J. Principe. Word spotting with the gamma neural model. In Proc. SPIE '95 Conf., volume 2493, pages 700-708, Orlando, FL, 1995.

[112]

J. Fisher and J. Principe. Experimental results using a nonlinear extension of the mace filter. In Proc. SPIE '95 Conf., volume 2752, pages 1-12, Orlando, FL, 1995. (PDF)

[113]

J. Fisher and J. Principe. A nonlinear extension of the mace filter. Neural Networks, 8(17-8):1131-1141, 1995. (PDF)

[114]

L. Iasemidis, K. Pappas, J. Principe, and C. Sackellares. Measurement and quantification of spatio-temporal dynamics of human epileptic seizures. In Proc. 3rd Conference Experimental Chaos, 1995. (PDF)

[115]

J. Lee, J. Principe, and D. Hanes. Velocity measurements of granular flow with a hopfield network. In IEEE Workshop on Neural Networks for Signal Processing, pages 380-387, 1995.

[116]

M. Motter and J. Principe. Classification and prediction of wind tunnel mach number responses using both competitive and gamma neural networks. In Proc. World Conference on Neural Networks '95, volume 2, pages 25-29, Washington, 1995.

[117]

J. Principe. Neurosolutions: an object oriented evolution. PC AI, pages 49-50, 1995.

[118]

J. Principe and J. Kuo. Dynamic modeling of chaotic time series with neural networks. Advances in Neural Information Processing Systems 7, pages 311-318, 1995. (PDF)

[119]

J. Principe and L. Wang. Non-linear time series modeling with self-organizing feature maps. In IEEE Workshop on Neural Networks for Signal Processing, pages 11-20, 1995. (PDF)

[120]

J. Principe, A. Radisavljevic, J. Fisher, M. Haytt, and L. Novak. Target prescreening based on a quadratic gamma discriminator. IEEE Trans. Aerospace and Electronic Systems, 34(3):209-213, 1995. (PDF)

[121]

J. Principe, A. Radisavljevic, M. Kim, J. Fisher, M. Hyett, and L. Novak. Target pre-screening based on 2d gamma kernels. In Proc. SPIE '95 Conf., volume 2487, pages 251-258, Orlando, FL, 1995. (PDF)

[122]

C. Wang and J. Principe. On-line stochastic functional smoothing optimization for neural network training. In Neural Networks, 1995. (PDF)

[123]

C. Wang and J. Principe. A relation between hebbian and mse learning in nonlinear neural networks. In Proc. World Conf. on Neural Networks '95, volume 1, pages 540-543, Washington, 1995.

[124]

C. Wang, J. Kuo, and J. Principe. A relation between hebbian and mse learning. In Proc. ICASSP '95, volume 5, pages 3363-3366, Detroit, MI, 1995. (PDF)

[125]

S. Celebi and J. Principe. Analysis of spectral feature extraction using the gamma filter. In Proc. IEEE WCCI '94, volume 7, pages 4497-4501, Orlando, FL, 1994. (PDF)

[126]

S. Celebi and J. Principe. Spectral feature extraction using poisson moments. In Proc. IEEE Workshop on Neural Networks for Signal Processing, pages 155-162, Ermioni, Greece, 1994. (PDF)

[127]

H. Choi, J. Principe, and A. Hutchison. Multiresolution segmentation of respiratory emg signals. IEEE Biomed. Engr. '94, 41(13):257-266, 1994.

[128]

J. Fisher and J. Principe. Formulation of the mace filter as a linear associative memory. In Proc. IEEE WCCI '94, volume 5, pages 2934-2936, Orlando, FL, 1994.

[129]

L. Fu, H. Hsu, and J. Principe. Sleep staging by integrating expert networks and a contextual neural model. In Proc. Int. Symp. Integrated Knowledge and Neural Heuristics, pages 163-170, Pensacola, FL, 1994.

[130]

H. Hsu, L. Fu, and J. Principe. A knowledge-based approach to supervised incremental learning. In Proc. IEEE WCCI '94, volume 3, pages 1793-1798, Orlando, FL, 1994.

[131]

J. Kuo and J. Principe. Learning to generate a sinewave with a recurrent two-neuron network. In Proc. World Conf. on Neural Networks '94, volume 4, pages 403-407, San Diego, CA, 1994. (PDF)

[132]

J. Kuo and J. Principe. Reconstructed dynamics and chaotic signal modeling. In Proc. IEEE WCCI '94, volume 5, pages 3131-3136, Orlando, FL, 1994. (PDF)

[133]

J. Kuo and J. Principe. A systematic approach to chaotic time series modelling with artificial neural networks. In Proc. IEEE Workshop on Neural Networks for Signal Processing, pages 661-670, Ermioni, Greece, 1994.

[134]

J. Kuo, S. Celebi, and J. Principe. Adaptation of memory depth in the gamma filter. In Proc. ICASSP '94, volume 5, pages 373-376, Adelaide, Australia, 1994. (PDF)

[135]

M. Motter and J. Principe. A gamma memory neural network for system identification. In Proc. IEEE WCCI '94, volume 5, pages 3232-3237, Orlando, FL, 1994.

[136]

M. Palkar and J. Principe. Echo cancellation with the gamma filter. In Proc. ICASSP '94, volume 3, pages 369-372, Adelaide, Australia, 1994.

[137]

J. Principe and J. Kuo. Noise reduction in state space using the focused gamma neural network. In Proc. ICASSP '94, volume 2, pages 533-536, Adelaide, Australia, 1994. (PDF)

[138]

J. Principe and M. Motter. System identification with dynamic neural networks. In Proc. World Conf. on Neural Networks '94, volume 2, pages 284-289, San Diego, CA, 1994.

[139]

J. Principe and L. Turner. Word spotting with the gamma neural model. In Proc. World Conf. on Neural Networks '94, volume 4, pages 502-505, 1994.

[140]

J. Principe, H. Hsu, and J. Kuo. Analysis of short term neural memory structures for nonlinear prediction. Advances in Neural Information Processing Systems 6, pages 1011-1018, 1994. (PDF)

[141]

J. Principe, J. Kuo, and S. Celebi. An analysis of short term memory structures in dynamic neural networks. IEEE Trans. Neural Networks, Special issue in Dynamic nets, 5(2):331-337, 1994.

[142]

J. Tracey and J. Principe. Isolated word speech recognition using the focused gamma neural network. Journal of Artificial Neural Networks, 1(4):481-499, 1994.

[143]

C. Wang and J. Principe. A simplified statistical analysis of feedforward neural classifier. In Proc. IEEE WCCI '94, volume 2, pages 806-810, Orlando, FL, 1994.

[144]

C. Wang, J. Kuo, and J. Principe. Using anti-hebbian training to find orthogonal signals. In Proc. Int. Symp. Neural Networks, pages 608-613, Taiwan, 1994.

[145]

A. Barreto, J. Principe, and S. Reid. Stl - a spatial temporal characterization of interictal epileptic spikes. Brain Topography, 5(3):215-228, 1993.

[146]

T. Davis and J. Principe. A markov framework for the simple genetic algorithm. Evolutionary Computing, 1(3):269-288, 1993. (PDF)

[147]

K. Gugel, J. Principe, and S. Venkumahanti. Analysis of coarse parallel architectures for artificial neural processing. In Proc. World Congress on Artificial Neural Networks, volume 4, pages 787-790, 1993. (PDF)

[148]

K. Gugel, J. Principe, and S. Venkumahanti. Analysis of coarse parallel architectures for artificial neural processing. In Proc. 3rd Workshop on Neural Networks for Signal Processing, pages 450-459, Maryland, 1993.

[149]

C. Lefebvre and J. Principe. Object oriented artificial neural network implementations. In Proc. World Conference on Neural Networks '93, volume 4, pages 436-439, 1993. (PDF)

[150]

J. Principe and J. Kuo. Backpropagation through time with fixed memory size requirements. In Proc. 3rd Workshop on Neural Networks for Signal Processing, pages 207-215, Maryland, 1993. (PDF)

[151]

J. Principe and J. Kuo. Noise reduction in state space using the focused gamma neural network. In Proc. SPIE Conf. on Chaos and Nonlinearities, volume 2038, pages 326-331, 1993.

[152]

J. Principe and J. Kuo. Using the outputs of the poisson filter chain to reconstruct attractors. In Proc. SPIE Conf. on Chaos and Nonlinearities, volume 2037, pages 59-65, 1993.

[153]

J. Principe and J. Tracey. Isolated word recognition using the focused gamma neural network. In Proc. World Conference on Neural Networks '93, volume 3, pages 87-100, 1993.

[154]

J. Principe and A. Zahalka. Noisy desired signal in transient detection using neural networks. In Proc. SPIE '93, volume 2036, pages 292-300, 1993.

[155]

J. Principe, B. deVries, and P. Oliveira. The gamma filter: a new class of adaptive iir filters with restricted feedback. IEEE Trans. Signal Processing '93, 41(2):649-656, 1993. (PDF)

[156]

A. Zahalka and J. Principe. Transient detection using neural networks: the search for the desired signal. Advances in Neural Information Processing Systems 5, pages 688-695, 1993.

[157]

B. deVries and J. Principe. The gamma model - a new neural model for temporal processing. Neural Networks, 5(4):565-576, 1992. (PDF)

[158]

B. deVries and J. Principe. Short term memory structures for dynamic neural networks. In Proc. 26th ASILOMAR Conf., pages 766-770, Pacific Grove, 1992. (PDF)

[159]

C. Koch, R. Palovcik, and J. Principe. Chaotic activity during iron induced `epileptiform' discharges in rat hippocampal slices. IEEE Trans. Biomedical Engineering, 39(11):1152-1160, 1992.

[160]

J. Kuo, J. Principe, and B. deVries. Prediction of chaotic time series using recurrent neural networks. In Proc. 1992 IEEE Workshop of Neural Networks in Signal Processing, pages 436-443, 1992. (PDF)

[161]

J. Principe, T. Chang, S. Gala, and A. Tome. Information processing models for sleep staging. Intl. J. Expert Systems with Applications, 6:399-409, 1992.

[162]

J. Principe, B. deVries, J. Kuo, and P. Oliveira. Modeling applications with the focused gamma net. Advances in Neural Information Processing Systems 4, pages 143-150, 1992. (PDF)

[163]

J. Principe, B. deVries, and P. Oliveira. Generalized feed-forward structures: a new class of adaptive filters. In Proc. ICASSP '92, volume 4, pages 244-248, San Francisco, CA, 1992. (PDF)

[164]

J. Principe, P. Lo, and J. Kuo. Nonlinear Dynamics of the Brain, chapter Dynamical modeling of the EEG - the effect of time varying parameters, pages 259-266. World Scientific, 1992.

[165]

J. Principe, A. Rathie, and J. Kuo. Nonlinear Dynamics of the Brain, chapter Prediction of chaotic time series with neural networks, pages 250-258. World Scientific, 1992. (PDF)

[166]

J. Principe, A. Rathie, and J. Kuo. Prediction of chaotic time series with neural networks and the issue of dynamic modeling. Bifurcation and Chaos, 2(4):989-996, 1992.

[167]

A. Tomas, P. Oliveira, J. Principe, and B. deVries. Generalized feed forward filters with complex poles. In Proc. 1992 IEEE Workshop of Neural Networks in Signal Processing, pages 503-510, 1992.

[168]

A. Barreto, J. Principe, and S. Reid. Spatio-temporal localization and display of focal epileptic activity from the electrocorticogram. In Proc. IEEE Conf. on Engineering in Medicine and Biology, pages 435-436, Orlando, FL, 1991.

[169]

D. Brenner, J. Principe, and K. Doty. Neural network classification of metal surface properties using a dynamical touch sensor. In Proc. IJCNN '91, volume 1, pages 189-194, Seattle, WA, 1991.

[170]

T. Chang, J. Smith, and J. Principe. A knowledge-based system for the automated on line classification of eeg/eog signals. Micro-computer Applications, 10(2):54-65, 1991.

[171]

T. Davis and J. Principe. A simulated annealing like convergence theory for the simple genetic algorithm. In Proc. 5th Conf. on Genetic Algorithms, pages 174-181, San Diego, CA, 1991.

[172]

B. deVries and J. Principe. A theory for neural networks with time delays. Advances in Neural Information Proc. Systems 3, 3:162-168, 1991.

[173]

B. deVries, J. Principe, and P. Oliveira. Adaline with adaptive recursive memory. In Proc. IEEE Workshop on Neural Networks in Signal Processing, pages 101-110, 1991.

[174]

H. Hsu and J. Principe. Visualization of epileptic spikes in state space. In Proc. IEEE Conf. on Engineering in Medicine and Biology, pages 1191-1192, Orlando, FL, 1991.

[175]

J. Kuo and J. Principe. Measuring Chaos in the Human Brain, chapter Removing correlation from dimension estimation of time series: experimental results, pages 128-135. World Scientific, 1991.

[176]

P. Lo and J. Principe. Measuring Chaos in the Human Brain, chapter Towards the determination of EEG Lyapunov exponents, pages 156-166. World Scientific, 1991.

[177]

R. Palovcik, S. Reid, J. Principe, and A. Albuquerque. 3-d computer animation of electrophysiological responses. J. Neuroscience Methods, 41:1-9, 1991.

[178]

J. Principe and H. Hsu. Measuring Chaos in the Human Brain, chapter Visualization and construction of EEG state space portraits, pages 167-180. World Scientific, 1991.

[179]

J. Principe and P. Lo. Estimation of lyapunov exponents from the eeg. In Proc. IEEE Conf. on Engineering in Medicine and Biology, pages 2230-2231, Orlando, FL, 1991.

[180]

J. Principe and S. Park. A distributed knowledge-based system for eeg processing in epilepsy. AutoMedica, 14:81-99, 1991.

[181]

J. Principe and K. Yoon. A new algorithm for the detection of tool breakage in milling. Intl. J. Machine Tools and Manufacture, 31(4):443-454, 1991.

[182]

J. Principe, T. Yoon, and R. Walters. A numeric-symbolic approach to tool breakage detection. In Proc. NSF Grantees Conference, pages 399-402, Atlanta, GA, 1991.

[183]

K. Rambo, R. Fox, W. Eisenstadt, D. Langford, J. Principe, and R. Palovcik. Vlsi silicon based prosthesis for in vitro measurement of neural activity. In Proc. IEEE Custom Integrated Circuits Conf., pages 27.7.1-27.7.4, San Diego, CA, 1991.

[184]

A. Barreto, J. Principe, and S. Reid. Multidimensional filtering of the ecog for epileptic focus localization. In Proc. SoutheastConf '90, pages 1116-1120, Williamsburg, VA, 1990.

[185]

D. Brenner, K. Doty, M. Moallem, G. Ragner, and J. Principe. Development of a neural network based dynamic touch sensory system. In Proc. Sensors Expo West, pages 301A1-10, Long Beach, CA, 1990.

[186]

B. deVries and J. Principe. The gamma model - a new neural model for temporal processing. In Proc. IEEE Conf. on Engineering in Medicine and Biology, pages 1439-1440, Philadelphia, PA, 1990. (PDF)

[187]

C. Konger, J. Principe, and M. Taner. Neural network classification of event related potentials for the development of a new computer interface. In Proc. IJCNN '90, volume 2, pages 407-411, San Diego, CA, 1990.

[188]

S. Park, J. Principe, and J. Smith. Tdat - time domain analysis tool for eeg analysis. IEEE Trans. Biomedical Engineering, Special issue on visualization and interaction with data, 37(8):803-811, 1990.

[189]

J. Principe and P. Lo. Chaotic dynamics of time-delay neural networks. In Proc. IJCNN '90, volume 1, pages 367-372, San Diego, CA, 1990.

[190]

J. Principe and S. Park. An expert system architecture for abnormal eeg discrimination. In Proc. IEEE Conf. on Engineering in Medicine and Biology, pages 1376-1377, Philadelphia, PA, 1990.

[191]

J. Principe and S. Reid. Analysis and visualization of the eeg in phase space. In Proc. IEEE Conf. on Engineering in Medicine and Biology, pages 1404-1405, Philadelphia, PA, 1990.

[192]

J. Principe and T. Yoon. Knowledge representation in machine tool supervision systems. In Proc. 5th IEEE Int. Symp. on Intel. Control, pages 1106-1109, Philadelphia, PA, 1990.

[193]

J. Principe and T. Yoon. A numeric symbolic approach to machine tool supervision. In Proc. Sensors Expo West, pages 301B1-8, Long Beach, CA, 1990.

[194]

J. Principe, A. Adkins, K. Gugel, and S. Eatemadi. Multirate sampling digital audio equalizer. In Proc. Southeast Conf '90, pages 499-502, Williamsburg, VA, 1990.

[195]

J. Principe, F. Yu, and S. Reid. Display of eeg chaotic dynamics. In Proc. 1st Conf. Visualization Biomed. Computing, pages 346-351, Atlanta, GA, 1990.

[196]

J. Richards, M. Webster, and J. Principe. A gradient-based variable step-size lms algorithm. In Proc. Southeast Conf '90, Williamsburg, VA, pages 1083-1087, 1990.

[197]

T. Chang, J. Smith, and J. Principe. A knowledge-based system for the on-line classification of eeg/eog signals. Trans. ISA, 28:45-50, 1989.

[198]

P. Lo and J. Principe. Dimensionality analysis of eeg segments: experimental considerations. In Proc. ICNN '89, volume 1, pages 693-698, 1989.

[199]

P. Lo and J. Principe. The effect of filtering in the eeg correlation dimension estimation: experimental results. In Proc. IEEE Engr. Med. Biol. Soc., pages 638-639, Seattle, WA, 1989.

[200]

J. Principe and A. Tome. Performance and training strategies in feedforward neural networks: an application to sleep staging. In Proc. ICNN '89, volume 1, pages 341-346, 1989.

[201]

J. Principe, T. Chang, S. Gala, and A. Tome. Information processing models for automatic sleep scoring. In Proc. IEEE Engr. Med. Biol. Soc., pages 1804-1805, Seattle, WA, 1989.

[202]

Y. Ting, D. Childers, and J. Principe. Tracking spectral resonances. In 4th Annual ASSP Workshop on Spectrum Estimation, pages 49-54, Minnesota, 1989.

[203]

R. Walters and J. Principe. Spike detection using a syntactic pattern recognition approach. In Proc. IEEE Engr. Med. Biol. Soc., pages 1810-1811, Seattle, WA, 1989.

[204]

T. Yoon and J. Principe. A knowledge-based supervision model for machine tools. In Proc. 13th COMPSAC '89, pages 779-780, Orlando, FL, 1989.

[205]

T. Yoon and J. Principe. A new algorithm for tool breakage detection using the displacement signal. In Proc. PROCIEM '89, pages 37-41, Orlando, FL, 1989.

[206]

F. Yu, J. Principe, and S. Reid. Display of eeg chaotic dynamics. In Proc. IEEE Engr. Med. Biol. Soc., pages 1928-1929, Seattle, WA, 1989.

[207]

T. Chang, J. Smith, and J. Principe. A layered model for the knowledge-based contextual interpretation of multi-channel eeg/eog signals. In Proc. IEEE SoutheastCon '88, pages 239-243, 1988.

[208]

C. McLochlin, J. Principe, and J. Smith. A data compression algorithm for the electroencephalogram. Intl. J. Biomed. Computing, 22:83-95, 1988.

[209]

J. Principe, S. Gala, and T. Chang. Sleep staging automation based on the theory of evidence. IEEE Trans. Biomed. Engr., 36(5):503-509, 1988.

[210]

J. Smith and J. Principe. Computer analysis of hyman sleep, pages 2632-2642. John Wiley, New York City, NY, 1988.

[211]

P. Oliveira, J. Principe, A. Cruz, and A. Tome. Hidra - a hierarchical instrument for distributed real-time analysis of biological signals. IEEE Trans. Biomed. Engr., BME-34:921-927, 1987.

[212]

J. Principe, S. Gala, and T. Chang. Sleep staging automation based on the theory of evidence. In Proc. 9th Annual Conf. IEEE Engr. Med. Biol. Soc., pages 2064-2066, Boston, MA, 1987.

[213]

F. Vaz and J. Principe. Automated classification of epileptic seizures in the electroencephalogram. In Intl. Conf. Digital Signal Proc., pages 564-567, Florence, Italy, 1987.

[214]

F. Vaz, P. Oliveira, and J. Principe. A study of the best order for autoregressive eeg modeling. Intl. J. Biomed. Computing, 20:41-50, 1987.

[215]

J. Principe and J. Smith. Design and implementation of linear phase fir filters for biological signal processing. IEEE Trans. Biomed. Engr., BME-33(6):550-559, 1986.

[216]

J. Principe and J. Smith. Samicos - a sleep analyzing microcomputer system. IEEE Trans. Biomed. Engr., BME-33:935-941, 1986.

[217]

P. Dunoes, J. Principe, A. Isais, R. Neiva, and F. Vaz. Eeg power spectrum estimation using walsh transforms: A comparative study. In Proc. of MELECON, pages 142-146, Madrid, Spain, 1985.

[218]

J. Principe and J. Smith. Automated detection of spike and wave bursts. Elsevier Publications, 1985.

[219]

J. Principe, P. Oliveira, F. Vaz, and A. Tome. Automated event detection and characterization in EEG monitoring, Part II: Signal processing, pages 177-194. Raven Press, 1985.

[220]

F. Vaz, J. Principe, A. Abrantes, and J. Paiva. A microcomputer based power spectrum estimator for eeg analysis. In Proc. of MELECON, pages 123-126, Madrid, Spain, 1985.

[221]

P. Oliveira, J. Alves, and J. Principe. Multi-microprocessing environments for real time communications and signal processing. In Proc. Marrocan Workshop on Signal Proc. and Application (MWSPA), volume B-3, pages 2.1-2.8, 1984.

[222]

J. Principe and J. Smith. Sleep spindle characteristics as a function of age. Sleep, 5(1):73-84, 1984.

[223]

J. Principe, P. Oliveira, A. daSilva, and A. Tome. Computer analysis of aviation and space medicine. In Proc. 32nd Intl. Congress of Aviation and Space Medicine, pages 208-210, Funchal, Portugal, 1984.

[224]

J. Principe, P. Oliveira, and R. Neiva. Multitasking organization for real time comparison of different eeg processing algorithms. In Proc. Marrocan Workshop on Signal Proc. and Application (MWSPA), volume B-2, pages 3.1-3.6, 1984.

[225]

F. Vaz, P. Oliveira, J. Principe, A. Cruz, and A. Tome. Spike detection in eeg using autoregressive models and patern recognition. In Proc. Marrocan Workshop on Signal Proc. and Application (MWSPA), volume B-2, pages 1.1-1.7, 1984.

[226]

P. Oliveira, J. Principe, A. Cruz, and A. Tome. Multiprocessor electroencephalogram (eeg) analyzer. In Proc. IEEE Frontiers of Engr. and Health Care, pages 231-234, 1983.

[227]

J. Principe. Design of linear phase filters for microcomputer implementation. In Proc. of Portuguese Workshop on Signal Proc. and Aplications (PWSPA), volume A-2, pages 3.1-3.8, Porto, Portugal, 1982.

[228]

J. Principe and P. Oliveira. An architecture of distributed processing system for real time eeg analysis. In Proc. of Portuguese Workshop on Signal Proc. and Aplications (PWSPA), volume C-2, pages 1.1-1.7, Porto, Portugal, 1982.

[229]

J. Principe and J. Smith. Microcomputer based system for the detection and quantification of petit mal epilepsy. Computers in Biology and Medicine, 12(2):87-95, 1982.

[230]

A. Tome and J. Principe. A microcomputer implementation of a digital frequency synthesizer. In Proc. of Portuguese Workshop on Signal Proc. and Aplications (PWSPA), volume C-1, pages 3.1-3.8, Porto, Portugal, 1982.

[231]

F. Vaz and J. Principe. Computer graphic display of eeg spectral resonances. In Proc. Southeastern Conf., pages 559-560, Destin, FL, 1982.

[232]

F. Vaz, J. Principe, and P. Oliveira. Power spectrum estimation in eeg analysis. In Proc. of Portuguese Workshop on Signal Proc. and Aplications (PWSPA), volume B-8, pages 2.1-2.7, Porto, Portugal, 1982.

[233]

J. Principe. Automated analysis and quantification of Petit Mal Epilepsy in the human electroencephalogram. PhD thesis, University of FLorida, Gainesville, FL, 1979.

[234]

J. Principe, J. Smith, S. Balakrishnan, and A. Paige. Microcomputer based digital filters for eeg processing. IEEE Trans. Acoust. Speech and Signal Proc., ASSP-27:697-705, 1979.

[235]

J. Principe, J. Smith, and A. Paige. Microcomputer based digital filters for eeg processing. In Proc. IEEE Southeastern Conf., pages 24-28, Atlanta, GA, 1978.

[236]

J. Principe. Investigation on surface acoustic wave bandpass filters. Master's thesis, University of FLorida, Gainesville, FL, 1974.

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