Year |
Citation |
Score |
2010 |
Hao J, Lee TW, Sejnowski TJ. Speech Enhancement Using Gaussian Scale Mixture Models. Ieee Transactions On Audio, Speech, and Language Processing. 18: 1127-1136. PMID 21359139 DOI: 10.1109/Tasl.2009.2030012 |
0.402 |
|
2010 |
Hao J, Lee I, Lee TW, Sejnowski TJ. Independent vector analysis for source separation using a mixture of gaussians prior. Neural Computation. 22: 1646-73. PMID 20100076 DOI: 10.1162/Neco.2010.11-08-906 |
0.43 |
|
2009 |
Hao J, Attias H, Nagarajan S, Lee TW, Sejnowski TJ. Speech Enhancement, Gain, and Noise Spectrum Adaptation Using Approximate Bayesian Estimation. Ieee Transactions On Audio, Speech, and Language Processing. 17: 24-37. PMID 20428253 DOI: 10.1109/Tasl.2008.2005342 |
0.378 |
|
2008 |
Bowd C, Hao J, Tavares IM, Medeiros FA, Zangwill LM, Lee TW, Sample PA, Weinreb RN, Goldbaum MH. Bayesian machine learning classifiers for combining structural and functional measurements to classify healthy and glaucomatous eyes. Investigative Ophthalmology & Visual Science. 49: 945-53. PMID 18326717 DOI: 10.1167/Iovs.07-1083 |
0.356 |
|
2008 |
Lee JH, Lee TW, Jolesz FA, Yoo SS. Independent vector analysis (IVA): multivariate approach for fMRI group study. Neuroimage. 40: 86-109. PMID 18165105 DOI: 10.1016/J.Neuroimage.2007.11.019 |
0.319 |
|
2007 |
Kim T, Attias HT, Lee S, Lee T. Blind Source Separation Exploiting Higher-Order Frequency Dependencies Ieee Transactions On Audio, Speech, and Language Processing. 15: 70-79. DOI: 10.1109/Tasl.2006.872618 |
0.39 |
|
2007 |
Lee I, Kim T, Lee T. Fast fixed-point independent vector analysis algorithms for convolutive blind source separation Signal Processing. 87: 1859-1871. DOI: 10.1016/J.Sigpro.2007.01.010 |
0.39 |
|
2006 |
Eltoft T, Kim T, Lee T. On the multivariate Laplace distribution Ieee Signal Processing Letters. 13: 300-303. DOI: 10.1109/Lsp.2006.870353 |
0.355 |
|
2006 |
Park H, Lee T. Capturing nonlinear dependencies in natural images using ICA and mixture of Laplacian distribution Neurocomputing. 69: 1513-1528. DOI: 10.1016/J.Neucom.2005.12.026 |
0.383 |
|
2005 |
Sample PA, Boden C, Zhang Z, Pascual J, Lee TW, Zangwill LM, Weinreb RN, Crowston JG, Hoffmann EM, Medeiros FA, Sejnowski T, Goldbaum M. Unsupervised machine learning with independent component analysis to identify areas of progression in glaucomatous visual fields. Investigative Ophthalmology & Visual Science. 46: 3684-92. PMID 16186350 DOI: 10.1167/Iovs.04-1168 |
0.375 |
|
2005 |
Goldbaum MH, Sample PA, Zhang Z, Chan K, Hao J, Lee TW, Boden C, Bowd C, Bourne R, Zangwill L, Sejnowski T, Spinak D, Weinreb RN. Using unsupervised learning with independent component analysis to identify patterns of glaucomatous visual field defects. Investigative Ophthalmology & Visual Science. 46: 3676-83. PMID 16186349 DOI: 10.1167/Iovs.04-1167 |
0.363 |
|
2005 |
Yao K, Paliwal KK, Lee T. Generative factor analyzed HMM for automatic speech recognition Speech Communication. 45: 435-454. DOI: 10.1016/J.Specom.2005.01.002 |
0.38 |
|
2005 |
Choi S, Lee T, Hong D. Adaptive error-constrained method for LMS algorithms and applications Signal Processing. 85: 1875-1897. DOI: 10.1016/J.Sigpro.2005.03.017 |
0.314 |
|
2005 |
Mitra SK, Lee T, Goldbaum M. A Bayesian network based sequential inference for diagnosis of diseases from retinal images Pattern Recognition Letters. 26: 459-470. DOI: 10.1016/J.Patrec.2004.08.010 |
0.331 |
|
2005 |
Park HJ, Lee TW. Unsupervised learning of nonlinear dependencies in natural images International Journal of Imaging Systems and Technology. 15: 34-47. DOI: 10.1002/Ima.20036 |
0.384 |
|
2004 |
Zangwill LM, Chan K, Bowd C, Hao J, Lee TW, Weinreb RN, Sejnowski TJ, Goldbaum MH. Heidelberg retina tomograph measurements of the optic disc and parapapillary retina for detecting glaucoma analyzed by machine learning classifiers. Investigative Ophthalmology & Visual Science. 45: 3144-51. PMID 15326133 DOI: 10.1167/Iovs.04-0202 |
0.343 |
|
2004 |
Sample PA, Chan K, Boden C, Lee TW, Blumenthal EZ, Weinreb RN, Bernd A, Pascual J, Hao J, Sejnowski T, Goldbaum MH. Using unsupervised learning with variational bayesian mixture of factor analysis to identify patterns of glaucomatous visual field defects. Investigative Ophthalmology & Visual Science. 45: 2596-605. PMID 15277482 DOI: 10.1167/Iovs.03-0343 |
0.329 |
|
2004 |
Yao K, Lee T. Time-varying noise estimation for speech enhancement and recognition using sequential Monte Carlo method Eurasip Journal On Advances in Signal Processing. 2004: 2366-2384. DOI: 10.1155/S1110865704405022 |
0.33 |
|
2004 |
Kwon O, Lee T. Phoneme recognition using ICA-based feature extraction and transformation Signal Processing. 84: 1005-1019. DOI: 10.1016/J.Sigpro.2004.03.004 |
0.393 |
|
2003 |
Doi E, Inui T, Lee TW, Wachtler T, Sejnowski TJ. Spatiochromatic receptive field properties derived from information-theoretic analyses of cone mosaic responses to natural scenes. Neural Computation. 15: 397-417. PMID 12590812 DOI: 10.1162/089976603762552960 |
0.346 |
|
2003 |
Kreutz-Delgado K, Murray JF, Rao BD, Engan K, Lee TW, Sejnowski TJ. Dictionary learning algorithms for sparse representation. Neural Computation. 15: 349-96. PMID 12590811 DOI: 10.1162/089976603762552951 |
0.473 |
|
2003 |
Jang G, Lee T. A maximum likelihood approach to single-channel source separation Journal of Machine Learning Research. 4: 1365-1392. DOI: 10.1162/Jmlr.2003.4.7-8.1365 |
0.413 |
|
2003 |
Lee T, Cardoso J, Oja E, Amari S. Introduction to special issue on independent components analysis Journal of Machine Learning Research. 4: 1175-1176. DOI: 10.1162/Jmlr.2003.4.7-8.1175 |
0.303 |
|
2003 |
Chan K, Lee TW, Sejnowski TJ. Variational Bayesian learning of ICA with missing data Neural Computation. 15: 1991-2011. DOI: 10.1162/08997660360675116 |
0.375 |
|
2003 |
Jang GJ, Lee TW, Oh YH. Single-channel signal separation using time-domain basis functions Ieee Signal Processing Letters. 10: 168-171. DOI: 10.1109/Lsp.2003.811630 |
0.407 |
|
2003 |
Kwon OW, Chan K, Lee TW. Speech feature analysis using variational Bayesian PCA Ieee Signal Processing Letters. 10: 137-140. DOI: 10.1109/Lsp.2003.810017 |
0.399 |
|
2003 |
Jang GJ, Lee TW, Oh YH. Single channel signal separation using MAP-based subspace decomposition Electronics Letters. 39: 1766-1767. DOI: 10.1049/El:20031122 |
0.354 |
|
2003 |
Visser EM, Otsuka M, Lee T. A spatio-temporal speech enhancement scheme for robust speech recognition in noisy environments Speech Communication. 41: 393-407. DOI: 10.1016/S0167-6393(03)00010-4 |
0.361 |
|
2002 |
Chan K, Lee TW, Sejnowski TJ. Variational Learning of Clusters of Undercomplete Nonsymmetric Independent Components. Journal of Machine Learning Research : Jmlr. 3: 99-114. PMID 21479123 DOI: 10.1162/153244303768966120 |
0.341 |
|
2002 |
Lee TW, Lewicki MS. Unsupervised image classification, segmentation, and enhancement using ICA mixture models. Ieee Transactions On Image Processing : a Publication of the Ieee Signal Processing Society. 11: 270-9. PMID 18244630 DOI: 10.1109/83.988960 |
0.402 |
|
2002 |
Chan K, Lee TW, Sample PA, Goldbaum MH, Weinreb RN, Sejnowski TJ. Comparison of machine learning and traditional classifiers in glaucoma diagnosis. Ieee Transactions On Bio-Medical Engineering. 49: 963-74. PMID 12214886 DOI: 10.1109/Tbme.2002.802012 |
0.394 |
|
2002 |
Lee TW, Wachtler T, Sejnowski TJ. Color opponency is an efficient representation of spectral properties in natural scenes. Vision Research. 42: 2095-103. PMID 12169429 DOI: 10.1016/S0042-6989(02)00122-0 |
0.333 |
|
2002 |
Lee JH, Lee TW, Jung HY, Lee SY. On the efficient speech feature extraction based on independent component analysis Neural Processing Letters. 15: 235-245. DOI: 10.1023/A:1015777200976 |
0.42 |
|
2002 |
Amari S, Hyvarinen A, Lee S, Lee T, Sánchez A V. Blind signal separation and independent component analysis Neurocomputing. 49: 1-5. DOI: 10.1016/S0925-2312(02)00509-X |
0.36 |
|
2001 |
Wachtler T, Lee TW, Sejnowski TJ. Chromatic structure of natural scenes. Journal of the Optical Society of America. a, Optics, Image Science, and Vision. 18: 65-77. PMID 11152005 DOI: 10.1364/Josaa.18.000065 |
0.411 |
|
2001 |
Jang GJ, Lee TW, Oh YH. Learning statistically efficient features for speaker recognition Icassp, Ieee International Conference On Acoustics, Speech and Signal Processing - Proceedings. 1: 437-440. DOI: 10.1016/S0925-2312(02)00527-1 |
0.434 |
|
2000 |
Jung TP, Makeig S, Humphries C, Lee TW, McKeown MJ, Iragui V, Sejnowski TJ. Removing electroencephalographic artifacts by blind source separation. Psychophysiology. 37: 163-78. PMID 10731767 DOI: 10.1111/1469-8986.3720163 |
0.362 |
|
2000 |
Lee TW, Lewicki MS, Sejnowski TJ. ICA mixture models for unsupervised classification of non-Gaussian classes and automatic context switching in blind signal separation Ieee Transactions On Pattern Analysis and Machine Intelligence. 22: 1078-1089. DOI: 10.1109/34.879789 |
0.421 |
|
2000 |
Bae UM, Lee TW, Lee SY. Blind signal separation in teleconferencing using ICA mixture model Electronics Letters. 36: 680-682. DOI: 10.1049/El:20000459 |
0.348 |
|
2000 |
Lee T, Girolami M, Bell A, Sejnowski T. A unifying information-theoretic framework for independent component analysis Computers & Mathematics With Applications. 39: 1-21. DOI: 10.1016/S0898-1221(00)00101-2 |
0.381 |
|
2000 |
Lee TW, Wachtler T, Sejnowski TJ. The spectral independent components of natural scenes Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 1811: 527-534. DOI: 10.1007/3-540-45482-9_53 |
0.374 |
|
1999 |
Lee TW, Girolami M, Sejnowski TJ. Independent component analysis using an extended infomax algorithm for mixed subgaussian and supergaussian sources. Neural Computation. 11: 417-41. PMID 9950738 DOI: 10.1162/089976699300016719 |
0.425 |
|
1999 |
Lee TW, Lewicki MS, Girolami M, Sejnowski TJ. Blind source separation of more sources than mixtures using overcomplete representations Ieee Signal Processing Letters. 6: 87-90. DOI: 10.1109/97.752062 |
0.434 |
|
1999 |
Park HM, Jung HY, Lee TW, Lee SY. Subband-based blind signal separation for noisy speech recognition Electronics Letters. 35: 2011-2012. DOI: 10.1049/El:19991358 |
0.4 |
|
1998 |
McKeown MJ, Jung TP, Makeig S, Brown G, Kindermann SS, Lee TW, Sejnowski TJ. Spatially independent activity patterns in functional MRI data during the stroop color-naming task. Proceedings of the National Academy of Sciences of the United States of America. 95: 803-10. PMID 9448244 DOI: 10.1073/Pnas.95.3.803 |
0.308 |
|
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