| Removing electroencephalographic artifacts by blind source separation TP Jung, S Makeig, C Humphries, TW Lee, MJ Mckeown, V Iragui, ... Psychophysiology 37 (2), 163-178, 2000 | 3884 | 2000 |
| Independent component analysis using an extended infomax algorithm for mixed subgaussian and supergaussian sources TW Lee, M Girolami, TJ Sejnowski Neural computation 11 (2), 417-441, 1999 | 2543 | 1999 |
| Independent component analysis TW Lee, TW Lee Independent component analysis: Theory and applications, 27-66, 1998 | 1689 | 1998 |
| Dictionary learning algorithms for sparse representation K Kreutz-Delgado, JF Murray, BD Rao, K Engan, TW Lee, TJ Sejnowski Neural computation 15 (2), 349-396, 2003 | 1084 | 2003 |
| Imaging brain dynamics using independent component analysis TP Jung, S Makeig, MJ McKeown, AJ Bell, TW Lee, TJ Sejnowski Proceedings of the IEEE 89 (7), 1107-1122, 2001 | 712 | 2001 |
| Extended ICA removes artifacts from electroencephalographic recordings TP Jung, C Humphries, TW Lee, S Makeig, M McKeown, V Iragui, ... Advances in neural information processing systems 10, 1997 | 685 | 1997 |
| Emotion recognition by speech signals. OW Kwon, K Chan, J Hao, TW Lee Interspeech, 125-128, 2003 | 677 | 2003 |
| Blind source separation of more sources than mixtures using overcomplete representations TW Lee, MS Lewicki, M Girolami, TJ Sejnowski IEEE signal processing letters 6 (4), 87-90, 1999 | 642 | 1999 |
| A unifying information-theoretic framework for independent component analysis TW Lee, M Girolami, AJ Bell, TJ Sejnowski Computers & Mathematics with Applications 39 (11), 1-21, 2000 | 612 | 2000 |
| Spatially independent activity patterns in functional MRI data during the Stroop color-naming task MJ McKeown, TP Jung, S Makeig, G Brown, SS Kindermann, TW Lee, ... Proceedings of the National Academy of Sciences 95 (3), 803-810, 1998 | 601 | 1998 |
| Blind source separation exploiting higher-order frequency dependencies T Kim, HT Attias, SY Lee, TW Lee IEEE transactions on audio, speech, and language processing 15 (1), 70-79, 2006 | 548 | 2006 |
| Blind speech separation S Makino, TW Lee, H Sawada Springer 615, 20-27, 2007 | 536 | 2007 |
| On the multivariate Laplace distribution T Eltoft, T Kim, TW Lee IEEE Signal Processing Letters 13 (5), 300-303, 2006 | 371 | 2006 |
| Independent vector analysis: An extension of ICA to multivariate components T Kim, T Eltoft, TW Lee International conference on independent component analysis and signal …, 2006 | 356 | 2006 |
| Mobile device location estimation using environmental information T Kim, K You, TW Lee US Patent 8,606,293, 2013 | 345 | 2013 |
| ICA mixture models for unsupervised classification of non-Gaussian classes and automatic context switching in blind signal separation TW Lee, MS Lewicki, TJ Sejnowski IEEE Transactions on Pattern Analysis and Machine Intelligence 22 (10), 1078 …, 2000 | 301 | 2000 |
| Blind separation of delayed and convolved sources TW Lee, A Bell, R Lambert Advances in neural information processing systems 9, 1996 | 288 | 1996 |
| Removing electroencephalographic artifacts: comparison between ICA and PCA TP Jung, C Humphries, TW Lee, S Makeig, MJ McKeown, V Iragui, ... Neural networks for signal processing VIII. Proceedings of the 1998 IEEE …, 1998 | 281 | 1998 |
| Separation of target acoustic signals in a multi-transducer arrangement E Visser, TW Lee US Patent 7,099,821, 2006 | 279 | 2006 |
| Comparison of machine learning and traditional classifiers in glaucoma diagnosis K Chan, TW Lee, PA Sample, MH Goldbaum, RN Weinreb, TJ Sejnowski IEEE Transactions on Biomedical Engineering 49 (9), 963-974, 2002 | 266 | 2002 |
