Seungjin Choi

Sunho Park, Seungjin Choi: Max-margin embedding for multi-label learning. Pattern Recognition Letters 34(3): 292-298 (2013)

Yong-Deok Kim, Seungjin Choi: Variational Bayesian View of Weighted Trace Norm Regularization for Matrix Factorization. IEEE Signal Process. Lett. 20(3): 261-264 (2013)

Yoonseop Kang, Seungjin Choi: Learning Features with Structure-Adapting Multi-view Exponential Family Harmoniums. CoRR abs/1301.3539 (2013)

Kye-Hyeon Kim, Rui Cai, Lei Zhang, Seungjin Choi: Regularized Discriminant Embedding for Visual Descriptor Learning. CoRR abs/1301.3644 (2013)

Yunjun Nam, Qibin Zhao, Andrzej Cichocki, Seungjin Choi: Tongue-Rudder: A Glossokinetic-Potential-Based Tongue-Machine Interface. IEEE Trans. Biomed. Engineering 59(1): 290-299 (2012)

Hyohyeong Kang, Seungjin Choi: Probabilistic Models for Common Spatial Patterns: Parameter-Expanded EM and Variational Bayes. AAAI 2012

Saehoon Kim, Yoonseop Kang, Seungjin Choi: Sequential Spectral Learning to Hash with Multiple Representations. ECCV (5) 2012: 538-551

Juho Lee, Suha Kwak, Bohyung Han, Seungjin Choi: Online Video Segmentation by Bayesian Split-Merge Clustering. ECCV (4) 2012: 856-869

Jiho Yoo, Seungjin Choi: Hierarchical variational Bayesian matrix co-factorization. ICASSP 2012: 1901-1904

Yoonseop Kang, Saehoon Kim, Seungjin Choi: Deep Learning to Hash with Multiple Representations. ICDM 2012: 930-935

Jeong-Min Yun, Saehoon Kim, Seungjin Choi: Hashing with Generalized Nyström Approximation. ICDM 2012: 1188-1193

Hyohyeong Kang, Seungjin Choi: Bayesian common spatial patterns with Dirichlet process priors for multi-subject EEG classification. IJCNN 2012: 1-6

Sangmin Lee, Yunjun Nam, Seungjin Choi: Self-labeling for P300 detection. SMC 2012: 268-273

Yongsoo Kim, Taek-Kyun Kim, Yungu Kim, Jiho Yoo, Sungyong You, Inyoul Y. Lee, George Carlson, Leroy Hood, Seungjin Choi, Daehee Hwang: Principal network analysis: identification of subnetworks representing major dynamics using gene expression data. Bioinformatics 27(3): 391-398 (2011)

Minje Kim, Jiho Yoo, Kyeongok Kang, Seungjin Choi: Nonnegative Matrix Partial Co-Factorization for Spectral and Temporal Drum Source Separation. J. Sel. Topics Signal Processing 5(6): 1192-1204 (2011)

Shounan An, Jiho Yoo, Seungjin Choi: Manifold-respecting discriminant nonnegative matrix factorization. Pattern Recognition Letters 32(6): 832-837 (2011)

Jong Kyoung Kim, Seungjin Choi: Probabilistic Models for Semisupervised Discriminative Motif Discovery in DNA Sequences. IEEE/ACM Trans. Comput. Biology Bioinform. 8(5): 1309-1317 (2011)

Shounan An, Jeong-Min Yun, Seungjin Choi: Multiple kernel nonnegative matrix factorization. ICASSP 2011: 1976-1979

Sunho Park, Seungjin Choi: Geometric programming for aggregation of binary classifiers. ICASSP 2011: 2000-2003

Saehoon Kim, Seungjin Choi: Semi-supervised Discriminant Hashing. ICDM 2011: 1122-1127

Jeong-Min Yun, Seungjin Choi: Nyström Approximations for Scalable Face Recognition: A Comparative Study. ICONIP (2) 2011: 325-334

Jiho Yoo, Seungjin Choi: Matrix Co-Factorization on Compressed Sensing. IJCAI 2011: 1595-1602

Yoonseop Kang, Seungjin Choi: Restricted Deep Belief Networks for Multi-view Learning. ECML/PKDD (2) 2011: 130-145

Jiho Yoo, Seungjin Choi: Bayesian Matrix Co-Factorization: Variational Algorithm and Cramér-Rao Bound. ECML/PKDD (3) 2011: 537-552

Jiho Yoo, Seungjin Choi: Orthogonal nonnegative matrix tri-factorization for co-clustering: Multiplicative updates on Stiefel manifolds. Inf. Process. Manage. 46(5): 559-570 (2010)

Jiho Yoo, Seungjin Choi: Nonnegative Matrix Factorization with Orthogonality Constraints. JCSE 4(2): 97-109 (2010)

Sunho Park, Seungjin Choi: Hierarchical Gaussian Process Regression. Journal of Machine Learning Research - Proceedings Track 13: 95-110 (2010)

Jiho Yoo, Minje Kim, Kyeongok Kang, Seungjin Choi: Nonnegative matrix partial co-factorization for drum source separation. ICASSP 2010: 1942-1945

Minje Kim, Jiho Yoo, Kyeongok Kang, Seungjin Choi: Blind rhythmic source separation: Nonnegativity and repeatability. ICASSP 2010: 2006-2009

Heeyoul Choi, Seungjin Choi, Anup Katake, Yoonsuck Choe: Learning alpha-integration with partially-labeled data. ICASSP 2010: 2058-2061

Heeyoul Choi, Anup Katake, Seungjin Choi, Yoonsuck Choe: Alpha-integration of multiple evidence. ICASSP 2010: 2210-2213

Sunho Park, Seungjin Choi: Bayesian Aggregation of Binary Classifiers. ICDM 2010: 393-402

Yunjun Nam, Qibin Zhao, Andrzej Cichocki, Seungjin Choi: A Tongue-Machine Interface: Detection of Tongue Positions by Glossokinetic Potentials. ICONIP (2) 2010: 34-41

Heeyoul Choi, Seungjin Choi, Anup Katake, Yoonseop Kang, Yoonsuck Choe: Manifold Alpha-Integration. PRICAI 2010: 397-408

Hyekyoung Lee, Andrzej Cichocki, Seungjin Choi: Kernel nonnegative matrix factorization for spectral EEG feature extraction. Neurocomputing 72(13-15): 3182-3190 (2009)

Hyekyoung Lee, Seungjin Choi: Group Nonnegative Matrix Factorization for EEG Classification. Journal of Machine Learning Research - Proceedings Track 5: 320-327 (2009)

Jong Kyoung Kim, Seungjin Choi: Clustering with r-regular graphs. Pattern Recognition 42(9): 2020-2028 (2009)

Seunghak Lee, Seungjin Choi: Landmark MDS ensemble. Pattern Recognition 42(9): 2045-2053 (2009)

Sangki Kim, Gunhyuk Park, Sunghoon Yim, Seungmoon Choi, Seungjin Choi: Gesture-recognizing hand-held interface with vibrotactile feedback for 3D interaction. IEEE Trans. Consumer Electronics 55(3): 1169-1177 (2009)

Jiho Yoo, Seungjin Choi: Weighted Nonnegative Matrix Co-Tri-Factorization for Collaborative Prediction. ACML 2009: 396-411

Yong-Deok Kim, Seungjin Choi: Weighted nonnegative matrix factorization. ICASSP 2009: 1541-1544

Jiho Yoo, Seungjin Choi: Probabilistic matrix tri-factorization. ICASSP 2009: 1553-1556

Seunghak Lee, Seungjin Choi: Ensembles of landmark multidimensional scalings. ICASSP 2009: 1649-1652

Sunho Park, Jiho Yoo, Seungjin Choi: Target speech extractionwith learned spectral bases. ICASSP 2009: 1789-1792

Yoonseop Kang, Seungjin Choi: Common Neighborhood Sub-graph Density as a Similarity Measure for Community Detection. ICONIP (1) 2009: 175-184

Heeyoul Choi, Anup Katake, Seungjin Choi, Yoonseop Kang, Yoonsuck Choe: Probabilistic Combination of Multiple Evidence. ICONIP (1) 2009: 302-311

Jong Kyoung Kim, Seungjin Choi: Clustering sequence sets for motif discovery. NIPS 2009: 970-978

Seungjin Choi: Independent Component Analysis. Encyclopedia of Biometrics 2009: 735-741

Jong Kyoung Kim, Kye-Hyeon Kim, Seungjin Choi: Supervised Learning. Encyclopedia of Biometrics 2009: 1298-1303

Andrzej Cichocki, Yoshikazu Washizawa, Tomasz M. Rutkowski, Hovagim Bakardjian, Anh Huy Phan, Seungjin Choi, Hyekyoung Lee, Qibin Zhao, Liqing Zhang, Yuanqing Li: Noninvasive BCIs: Multiway Signal-Processing Array Decompositions. IEEE Computer 41(10): 34-42 (2008)

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)

Sunho Park, Seungjin Choi: A constrained sequential EM algorithm for speech enhancement. Neural Networks 21(9): 1401-1409 (2008)

Andrzej Cichocki, Hyekyoung Lee, Yong-Deok Kim, Seungjin Choi: Non-negative matrix factorization with alpha-divergence. Pattern Recognition Letters 29(9): 1433-1440 (2008)

Heeyoul Choi, Seungjin Choi, Yoonsuck Choe: Manifold Integration with Markov Random Walks. AAAI 2008: 424-429

Yong-Deok Kim, Andrzej Cichocki, Seungjin Choi: Nonnegative Tucker decomposition with alpha-divergence. ICASSP 2008: 1829-1832

Sunho Park, Seungjin Choi: Gaussian processes for source separation. ICASSP 2008: 1909-1912

Heeyoul Choi, Ricardo Gutierrez-Osuna, Seungjin Choi, Yoonsuck Choe: Kernel oriented discriminant analysis for speaker-independent phoneme spaces. ICPR 2008: 1-4

Jiho Yoo, Seungjin Choi: Orthogonal Nonnegative Matrix Factorization: Multiplicative Updates on Stiefel Manifolds. IDEAL 2008: 140-147

Hyekyoung Lee, Seungjin Choi: CUR+NMF for learning spectral features from large data matrix. IJCNN 2008: 1592-1597

Seungjin Choi: Algorithms for orthogonal nonnegative matrix factorization. IJCNN 2008: 1828-1832

Sunho Park, Seungjin Choi: Gaussian process regression for voice activity detection and speech enhancement. IJCNN 2008: 2879-2882

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)

Jong-Hoon Ahn, Jong-Hoon Oh, Seungjin Choi: Learning principal directions: Integrated-squared-error minimization. Neurocomputing 70(7-9): 1372-1381 (2007)

Heeyoul Choi, Seungjin Choi: A relative trust-region algorithm for independent component analysis. Neurocomputing 70(7-9): 1502-1510 (2007)

Heeyoul Choi, Seungjin Choi: Robust kernel Isomap. Pattern Recognition 40(3): 853-862 (2007)

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)

Yong-Deok Kim, Seungjin Choi: Nonnegative Tucker Decomposition. CVPR 2007

Sunho Park, Seungjin Choi: Source Separation with Gaussian Process Models. ECML 2007: 262-273

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

Yong-Deok Kim, Seungjin Choi: Color Face Tensor Factorization and Slicing for Illumination-Robust Recognition. ICB 2007: 19-28

Kye-Hyeon Kim, Seungjin Choi: Neighbor search with global geometry: a minimax message passing algorithm. ICML 2007: 401-408

Seunghak Lee, Iryoung Jeong, Seungjin Choi: Dynamically Weighted Hidden Markov Model for Spam Deobfuscation. IJCAI 2007: 2523-2529

Seungjin Choi: Wake-Sleep PCA. IJCNN 2007: 2432-2435

Seungjin Choi: Differential learning algorithms for decorrelation and independent component analysis. Neural Networks 19(10): 1558-1567 (2006)

Seungjin Choi, Jong-Hoon Ahn, Andrzej Cichocki: Constrained Projection Approximation Algorithms for Principal Component Analysis. Neural Processing Letters 24(1): 53-65 (2006)

Jaehwan Kim, Seungjin Choi: Semidefinite spectral clustering. Pattern Recognition 39(11): 2025-2035 (2006)

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)

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)

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)

Sookjeong Kim, Seungjin Choi: Topographic Independent Component Analysis of Gene Expression Time Series Data. ICA 2006: 462-469

Minje Kim, Seungjin Choi: Monaural Music Source Separation: Nonnegativity, Sparseness, and Shift-Invariance. ICA 2006: 617-624

Hyekyoung Lee, Andrzej Cichocki, Seungjin Choi: Nonnegative Matrix Factorization for Motor Imagery EEG Classification. ICANN (2) 2006: 250-259

Jong Kyoung Kim, Seungjin Choi: Tree-Dependent Components of Gene Expression Data for Clustering. ICANN (2) 2006: 837-846

Minje Kim, Seungjin Choi: ICA-Based Clustering for Resolving Permutation Ambiguity in Frequency-Domain Convolutive Source Separation. ICPR (1) 2006: 950-954

Sunho Park, Seungjin Choi: Rao-Blackwellized Particle Filtering for Sequential Speech Enhancement. IJCNN 2006: 1254-1259

Heeyoul Choi, Seungjin Choi: Relative Gradient Learning for Independent Subspace Analysis. IJCNN 2006: 3919-3924

Yong-Choon Cho, Seungjin Choi: Nonnegative features of spectro-temporal sounds for classification. Pattern Recognition Letters 26(9): 1327-1336 (2005)

Yongjin Lee, Seungjin Choi: Maximum within-cluster association. Pattern Recognition Letters 26(10): 1412-1422 (2005)

Hyejin Kim, Seungjin Choi: Independent Subspaces of Gene Expression Data. Artificial Intelligence and Applications 2005: 485-490

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

Seungjin Choi: On Variations of Power Iteration. ICANN (2) 2005: 145-150

Minje Kim, Seungjin Choi: On Spectral Basis Selection for Single Channel Polyphonic Music Separation. ICANN (2) 2005: 157-162

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

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

Sookjeong Kim, Seungjin Choi: Independent arrays or independent time courses for gene expression time series. ISCAS (6) 2005: 5886-5889

Seungjin Choi: Sequential EM learning for subspace analysis. Pattern Recognition Letters 25(14): 1559-1567 (2004)

Jong-Hoon Ahn, Seungjin Choi, Jong-Hoon Oh: A multiplicative up-propagation algorithm. ICML 2004

Yong-Choon Cho, Seungjin Choi: Learning nonnegative features of spectro-temporal sounds for classification. INTERSPEECH 2004

Seungjin Choi: Differential ICA. ICANN 2003: 68-75

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)

Seungjin Choi, Andrzej Cichocki, Shun-ichi Amari: Equivariant nonstationary source separation. Neural Networks 15(1): 121-130 (2002)

Seungjin Choi, Andrzej Cichocki, Adel Belouchrani: Second Order Nonstationary Source Separation. VLSI Signal Processing 32(1-2): 93-104 (2002)

Seungjin Choi: Adaptive Differential Decorrelation: A Natural Gradient Algorithm. ICANN 2002: 1168-1173

Frédéric Berthommier, Seungjin Choi: Comparative evaluation of CASA and BSS models for subband cocktail-party speech separation. INTERSPEECH 2002

Seungjin Choi, Andrzej Cichocki, Shun-ichi Amari: Flexible Independent Component Analysis. VLSI Signal Processing 26(1-2): 25-38 (2000)

Seungjin Choi, Oyoung Lee: Factorial Code Representation of Faces for Recognition. Biologically Motivated Computer Vision 2000: 42-51

Seungjin Choi, Heonseok Hong, Hervé Glotin, Frédéric Berthommier: Multichannel signal separation for cocktail party speech recognition: a dynamic recurrent network. INTERSPEECH 2000: 83-86

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)

Seungjin Choi, Ruey-Wen Liu: A learning algorithm for the blind separation of non-zero skewness source signals with no spurious equilibria. ESANN 1997