2008 |
54 | | Heeyoul Choi,
Seungjin Choi,
Yoonsuck Choe:
Manifold Integration with Markov Random Walks.
AAAI 2008: 424-429 |
53 | EE | Heeyoul Choi,
Ricardo Gutierrez-Osuna,
Seungjin Choi,
Yoonsuck Choe:
Kernel oriented discriminant analysis for speaker-independent phoneme spaces.
ICPR 2008: 1-4 |
52 | EE | Jiho Yoo,
Seungjin Choi:
Orthogonal Nonnegative Matrix Factorization: Multiplicative Updates on Stiefel Manifolds.
IDEAL 2008: 140-147 |
51 | EE | Hyekyoung Lee,
Seungjin Choi:
CUR+NMF for learning spectral features from large data matrix.
IJCNN 2008: 1592-1597 |
50 | EE | Seungjin Choi:
Algorithms for orthogonal nonnegative matrix factorization.
IJCNN 2008: 1828-1832 |
49 | EE | Sunho Park,
Seungjin Choi:
Gaussian process regression for voice activity detection and speech enhancement.
IJCNN 2008: 2879-2882 |
48 | EE | Sunho Park,
Seungjin Choi:
A constrained sequential EM algorithm for speech enhancement.
Neural Networks 21(9): 1401-1409 (2008) |
47 | EE | Sookjeong Kim,
Jong Kyoung Kim,
Seungjin Choi:
Independent arrays or independent time courses for gene expression time series data analysis.
Neurocomputing 71(10-12): 2377-2387 (2008) |
46 | EE | Andrzej Cichocki,
Hyekyoung Lee,
Yong-Deok Kim,
Seungjin Choi:
Non-negative matrix factorization with alpha-divergence.
Pattern Recognition Letters 29(9): 1433-1440 (2008) |
2007 |
45 | EE | Yong-Deok Kim,
Seungjin Choi:
Nonnegative Tucker Decomposition.
CVPR 2007 |
44 | EE | Sunho Park,
Seungjin Choi:
Source Separation with Gaussian Process Models.
ECML 2007: 262-273 |
43 | EE | Andrzej Cichocki,
Rafal Zdunek,
Seungjin Choi,
Robert J. Plemmons,
Shun-ichi Amari:
Novel Multi-layer Non-negative Tensor Factorization with Sparsity Constraints.
ICANNGA (2) 2007: 271-280 |
42 | EE | Yong-Deok Kim,
Seungjin Choi:
Color Face Tensor Factorization and Slicing for Illumination-Robust Recognition.
ICB 2007: 19-28 |
41 | EE | Kye-Hyeon Kim,
Seungjin Choi:
Neighbor search with global geometry: a minimax message passing algorithm.
ICML 2007: 401-408 |
40 | EE | Seunghak Lee,
Iryoung Jeong,
Seungjin Choi:
Dynamically Weighted Hidden Markov Model for Spam Deobfuscation.
IJCAI 2007: 2523-2529 |
39 | EE | Seungjin Choi:
Wake-Sleep PCA.
IJCNN 2007: 2432-2435 |
38 | EE | Hyekyoung Lee,
Yong-Deok Kim,
Andrzej Cichocki,
Seungjin Choi:
Nonnegative Tensor Factorization for Continuous EEG Classification.
Int. J. Neural Syst. 17(4): 305-317 (2007) |
37 | EE | Jong-Hoon Ahn,
Jong-Hoon Oh,
Seungjin Choi:
Learning principal directions: Integrated-squared-error minimization.
Neurocomputing 70(7-9): 1372-1381 (2007) |
36 | EE | Heeyoul Choi,
Seungjin Choi:
A relative trust-region algorithm for independent component analysis.
Neurocomputing 70(7-9): 1502-1510 (2007) |
35 | EE | Heeyoul Choi,
Seungjin Choi:
Robust kernel Isomap.
Pattern Recognition 40(3): 853-862 (2007) |
34 | EE | Byeong Il Lee,
Jae Sung Lee,
Dong Soo Lee,
Won Jun Kang,
Jong Jin Lee,
Seungjin Choi:
A Clinical Application of Ensemble ICA to the Quantification of Myocardial Blood Flow in Dynamic H152 O H^{{15}}_{2} O PET.
VLSI Signal Processing 49(2): 233-241 (2007) |
2006 |
33 | EE | Sookjeong Kim,
Seungjin Choi:
Topographic Independent Component Analysis of Gene Expression Time Series Data.
ICA 2006: 462-469 |
32 | EE | Minje Kim,
Seungjin Choi:
Monaural Music Source Separation: Nonnegativity, Sparseness, and Shift-Invariance.
ICA 2006: 617-624 |
31 | EE | Hyekyoung Lee,
Andrzej Cichocki,
Seungjin Choi:
Nonnegative Matrix Factorization for Motor Imagery EEG Classification.
ICANN (2) 2006: 250-259 |
30 | EE | Jong Kyoung Kim,
Seungjin Choi:
Tree-Dependent Components of Gene Expression Data for Clustering.
ICANN (2) 2006: 837-846 |
29 | EE | Minje Kim,
Seungjin Choi:
ICA-Based Clustering for Resolving Permutation Ambiguity in Frequency-Domain Convolutive Source Separation.
ICPR (1) 2006: 950-954 |
28 | EE | Sunho Park,
Seungjin Choi:
Rao-Blackwellized Particle Filtering for Sequential Speech Enhancement.
IJCNN 2006: 1254-1259 |
27 | EE | Heeyoul Choi,
Seungjin Choi:
Relative Gradient Learning for Independent Subspace Analysis.
IJCNN 2006: 3919-3924 |
26 | EE | Seungjin Choi:
Differential learning algorithms for decorrelation and independent component analysis.
Neural Networks 19(10): 1558-1567 (2006) |
25 | EE | Seungjin Choi,
Jong-Hoon Ahn,
Andrzej Cichocki:
Constrained Projection Approximation Algorithms for Principal Component Analysis.
Neural Processing Letters 24(1): 53-65 (2006) |
24 | EE | Jaehwan Kim,
Seungjin Choi:
Semidefinite spectral clustering.
Pattern Recognition 39(11): 2025-2035 (2006) |
23 | EE | Jong Kyoung Kim,
Sung Yang Bang,
Seungjin Choi:
Sequence-driven features for prediction of subcellular localization of proteins.
Pattern Recognition 39(12): 2301-2311 (2006) |
22 | EE | JaeMo Sung,
Sung Yang Bang,
Seungjin Choi:
A Bayesian network classifier and hierarchical Gabor features for handwritten numeral recognition.
Pattern Recognition Letters 27(1): 66-75 (2006) |
21 | EE | Jong Kyoung Kim,
G. P. S. Raghava,
Sung Yang Bang,
Seungjin Choi:
Prediction of subcellular localization of proteins using pairwise sequence alignment and support vector machine.
Pattern Recognition Letters 27(9): 996-1001 (2006) |
2005 |
20 | | Hyejin Kim,
Seungjin Choi:
Independent Subspaces of Gene Expression Data.
Artificial Intelligence and Applications 2005: 485-490 |
19 | EE | JaeMo Sung,
Sung Yang Bang,
Seungjin Choi,
Zoubin Ghahramani:
U-Likelihood and U-Updating Algorithms: Statistical Inference in Latent Variable Models.
ECML 2005: 377-388 |
18 | EE | Seungjin Choi:
On Variations of Power Iteration.
ICANN (2) 2005: 145-150 |
17 | EE | Minje Kim,
Seungjin Choi:
On Spectral Basis Selection for Single Channel Polyphonic Music Separation.
ICANN (2) 2005: 157-162 |
16 | EE | Byeong Il Lee,
Jae Sung Lee,
Dong Soo Lee,
Seungjin Choi:
Myocardial Blood Flow Quantification in Dynamic PET: An Ensemble ICA Approach.
ICANN (2) 2005: 709-714 |
15 | EE | Inseon Jang,
Kyeongok Kang,
Sangki Kim,
Seungjin Choi:
F-SEONS: a second-order frequency-domain algorithm for noisy convolutive source separation.
ISCAS (4) 2005: 3595-3598 |
14 | EE | Sookjeong Kim,
Seungjin Choi:
Independent arrays or independent time courses for gene expression time series.
ISCAS (6) 2005: 5886-5889 |
13 | EE | Yongjin Lee,
Seungjin Choi:
Maximum within-cluster association.
Pattern Recognition Letters 26(10): 1412-1422 (2005) |
12 | EE | Yong-Choon Cho,
Seungjin Choi:
Nonnegative features of spectro-temporal sounds for classification.
Pattern Recognition Letters 26(9): 1327-1336 (2005) |
2004 |
11 | EE | Jong-Hoon Ahn,
Seungjin Choi,
Jong-Hoon Oh:
A multiplicative up-propagation algorithm.
ICML 2004 |
10 | EE | Seungjin Choi:
Sequential EM learning for subspace analysis.
Pattern Recognition Letters 25(14): 1559-1567 (2004) |
2003 |
9 | EE | Seungjin Choi:
Differential ICA.
ICANN 2003: 68-75 |
2002 |
8 | EE | Seungjin Choi:
Adaptive Differential Decorrelation: A Natural Gradient Algorithm.
ICANN 2002: 1168-1173 |
7 | EE | Seungjin Choi,
Andrzej Cichocki,
Shun-ichi Amari:
Equivariant nonstationary source separation.
Neural Networks 15(1): 121-130 (2002) |
6 | EE | Seungjin Choi,
Heonseok Hong,
Hervé Glotin,
Frédéric Berthommier:
Multichannel signal separation for cocktail party speech recognition: a dynamic recurrent network.
Neurocomputing 49(1-4): 299-314 (2002) |
5 | EE | Seungjin Choi,
Andrzej Cichocki,
Adel Belouchrani:
Second Order Nonstationary Source Separation.
VLSI Signal Processing 32(1-2): 93-104 (2002) |
2000 |
4 | EE | Seungjin Choi,
Oyoung Lee:
Factorial Code Representation of Faces for Recognition.
Biologically Motivated Computer Vision 2000: 42-51 |
3 | EE | Seungjin Choi,
Andrzej Cichocki,
Shun-ichi Amari:
Flexible Independent Component Analysis.
VLSI Signal Processing 26(1-2): 25-38 (2000) |
1998 |
2 | | Seungjin Choi,
Ruey-Wen Liu,
Andrzej Cichocki:
A Spurious Equilibria-free Learning Algorithm for the Blind Separation of Non-zoer Skewness Signals.
Neural Processing Letters 7(2): 61-68 (1998) |
1997 |
1 | | Seungjin Choi,
Ruey-Wen Liu:
A learning algorithm for the blind separation of non-zero skewness source signals with no spurious equilibria.
ESANN 1997 |