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Seungjin Choi: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Hyejin Kim, Seungjin Choi
    Independent Subspaces of Gene Expression Data. [Citation Graph (0, 0)][DBLP]
    Artificial Intelligence and Applications, 2005, pp:485-490 [Conf]
  2. Seungjin Choi, Oyoung Lee
    Factorial Code Representation of Faces for Recognition. [Citation Graph (0, 0)][DBLP]
    Biologically Motivated Computer Vision, 2000, pp:42-51 [Conf]
  3. JaeMo Sung, Sung Yang Bang, Seungjin Choi, Zoubin Ghahramani
    U-Likelihood and U-Updating Algorithms: Statistical Inference in Latent Variable Models. [Citation Graph (0, 0)][DBLP]
    ECML, 2005, pp:377-388 [Conf]
  4. Seungjin Choi, Ruey-Wen Liu
    A learning algorithm for the blind separation of non-zero skewness source signals with no spurious equilibria. [Citation Graph (0, 0)][DBLP]
    ESANN, 1997, pp:- [Conf]
  5. Sookjeong Kim, Seungjin Choi
    Topographic Independent Component Analysis of Gene Expression Time Series Data. [Citation Graph (0, 0)][DBLP]
    ICA, 2006, pp:462-469 [Conf]
  6. Minje Kim, Seungjin Choi
    Monaural Music Source Separation: Nonnegativity, Sparseness, and Shift-Invariance. [Citation Graph (0, 0)][DBLP]
    ICA, 2006, pp:617-624 [Conf]
  7. Seungjin Choi
    Adaptive Differential Decorrelation: A Natural Gradient Algorithm. [Citation Graph (0, 0)][DBLP]
    ICANN, 2002, pp:1168-1173 [Conf]
  8. Seungjin Choi
    Differential ICA. [Citation Graph (0, 0)][DBLP]
    ICANN, 2003, pp:68-75 [Conf]
  9. Seungjin Choi
    On Variations of Power Iteration. [Citation Graph (0, 0)][DBLP]
    ICANN (2), 2005, pp:145-150 [Conf]
  10. Jong Kyoung Kim, Seungjin Choi
    Tree-Dependent Components of Gene Expression Data for Clustering. [Citation Graph (0, 0)][DBLP]
    ICANN (2), 2006, pp:837-846 [Conf]
  11. Minje Kim, Seungjin Choi
    On Spectral Basis Selection for Single Channel Polyphonic Music Separation. [Citation Graph (0, 0)][DBLP]
    ICANN (2), 2005, pp:157-162 [Conf]
  12. Hyekyoung Lee, Andrzej Cichocki, Seungjin Choi
    Nonnegative Matrix Factorization for Motor Imagery EEG Classification. [Citation Graph (0, 0)][DBLP]
    ICANN (2), 2006, pp:250-259 [Conf]
  13. Byeong Il Lee, Jae Sung Lee, Dong Soo Lee, Seungjin Choi
    Myocardial Blood Flow Quantification in Dynamic PET: An Ensemble ICA Approach. [Citation Graph (0, 0)][DBLP]
    ICANN (2), 2005, pp:709-714 [Conf]
  14. Jong-Hoon Ahn, Seungjin Choi, Jong-Hoon Oh
    A multiplicative up-propagation algorithm. [Citation Graph (0, 0)][DBLP]
    ICML, 2004, pp:- [Conf]
  15. Minje Kim, Seungjin Choi
    ICA-Based Clustering for Resolving Permutation Ambiguity in Frequency-Domain Convolutive Source Separation. [Citation Graph (0, 0)][DBLP]
    ICPR (1), 2006, pp:950-954 [Conf]
  16. Seunghak Lee, Iryoung Jeong, Seungjin Choi
    Dynamically Weighted Hidden Markov Model for Spam Deobfuscation. [Citation Graph (0, 0)][DBLP]
    IJCAI, 2007, pp:2523-2529 [Conf]
  17. Sookjeong Kim, Seungjin Choi
    Independent arrays or independent time courses for gene expression time series. [Citation Graph (0, 0)][DBLP]
    ISCAS (6), 2005, pp:5886-5889 [Conf]
  18. Seungjin Choi, Heonseok Hong, Hervé Glotin, Frédéric Berthommier
    Multichannel signal separation for cocktail party speech recognition: a dynamic recurrent network. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2002, v:49, n:1-4, pp:299-314 [Journal]
  19. Seungjin Choi, Andrzej Cichocki, Shun-ichi Amari
    Equivariant nonstationary source separation. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 2002, v:15, n:1, pp:121-130 [Journal]
  20. Seungjin Choi
    Differential learning algorithms for decorrelation and independent component analysis. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 2006, v:19, n:10, pp:1558-1567 [Journal]
  21. Seungjin Choi, Ruey-Wen Liu, Andrzej Cichocki
    A Spurious Equilibria-free Learning Algorithm for the Blind Separation of Non-zoer Skewness Signals. [Citation Graph (0, 0)][DBLP]
    Neural Processing Letters, 1998, v:7, n:2, pp:61-68 [Journal]
  22. Seungjin Choi, Jong-Hoon Ahn, Andrzej Cichocki
    Constrained Projection Approximation Algorithms for Principal Component Analysis. [Citation Graph (0, 0)][DBLP]
    Neural Processing Letters, 2006, v:24, n:1, pp:53-65 [Journal]
  23. Jong Kyoung Kim, Sung Yang Bang, Seungjin Choi
    Sequence-driven features for prediction of subcellular localization of proteins. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition, 2006, v:39, n:12, pp:2301-2311 [Journal]
  24. Jaehwan Kim, Seungjin Choi
    Semidefinite spectral clustering. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition, 2006, v:39, n:11, pp:2025-2035 [Journal]
  25. Heeyoul Choi, Seungjin Choi
    Robust kernel Isomap. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition, 2007, v:40, n:3, pp:853-862 [Journal]
  26. Yong-Choon Cho, Seungjin Choi
    Nonnegative features of spectro-temporal sounds for classification. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition Letters, 2005, v:26, n:9, pp:1327-1336 [Journal]
  27. Seungjin Choi
    Sequential EM learning for subspace analysis. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition Letters, 2004, v:25, n:14, pp:1559-1567 [Journal]
  28. 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. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition Letters, 2006, v:27, n:9, pp:996-1001 [Journal]
  29. Yongjin Lee, Seungjin Choi
    Maximum within-cluster association. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition Letters, 2005, v:26, n:10, pp:1412-1422 [Journal]
  30. JaeMo Sung, Sung Yang Bang, Seungjin Choi
    A Bayesian network classifier and hierarchical Gabor features for handwritten numeral recognition. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition Letters, 2006, v:27, n:1, pp:66-75 [Journal]
  31. Yong-Deok Kim, Seungjin Choi
    Nonnegative Tucker Decomposition. [Citation Graph (0, 0)][DBLP]
    CVPR, 2007, pp:- [Conf]
  32. Sunho Park, Seungjin Choi
    Source Separation with Gaussian Process Models. [Citation Graph (0, 0)][DBLP]
    ECML, 2007, pp:262-273 [Conf]
  33. Yong-Deok Kim, Seungjin Choi
    Color Face Tensor Factorization and Slicing for Illumination-Robust Recognition. [Citation Graph (0, 0)][DBLP]
    ICB, 2007, pp:19-28 [Conf]
  34. Kye-Hyeon Kim, Seungjin Choi
    Neighbor search with global geometry: a minimax message passing algorithm. [Citation Graph (0, 0)][DBLP]
    ICML, 2007, pp:401-408 [Conf]
  35. Andrzej Cichocki, Rafal Zdunek, Seungjin Choi, Robert J. Plemmons, Shun-ichi Amari
    Novel Multi-layer Non-negative Tensor Factorization with Sparsity Constraints. [Citation Graph (0, 0)][DBLP]
    ICANNGA (2), 2007, pp:271-280 [Conf]
  36. Jong-Hoon Ahn, Jong-Hoon Oh, Seungjin Choi
    Learning principal directions: Integrated-squared-error minimization. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2007, v:70, n:7-9, pp:1372-1381 [Journal]
  37. Heeyoul Choi, Seungjin Choi
    A relative trust-region algorithm for independent component analysis. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2007, v:70, n:7-9, pp:1502-1510 [Journal]

  38. Manifold Integration with Markov Random Walks. [Citation Graph (, )][DBLP]


  39. Common Neighborhood Sub-graph Density as a Similarity Measure for Community Detection. [Citation Graph (, )][DBLP]


  40. Probabilistic Combination of Multiple Evidence. [Citation Graph (, )][DBLP]


  41. Kernel oriented discriminant analysis for speaker-independent phoneme spaces. [Citation Graph (, )][DBLP]


  42. Orthogonal Nonnegative Matrix Factorization: Multiplicative Updates on Stiefel Manifolds. [Citation Graph (, )][DBLP]


  43. Wake-Sleep PCA. [Citation Graph (, )][DBLP]


  44. Rao-Blackwellized Particle Filtering for Sequential Speech Enhancement. [Citation Graph (, )][DBLP]


  45. Relative Gradient Learning for Independent Subspace Analysis. [Citation Graph (, )][DBLP]


  46. Gaussian process regression for voice activity detection and speech enhancement. [Citation Graph (, )][DBLP]


  47. CUR+NMF for learning spectral features from large data matrix. [Citation Graph (, )][DBLP]


  48. Algorithms for orthogonal nonnegative matrix factorization. [Citation Graph (, )][DBLP]


  49. F-SEONS: a second-order frequency-domain algorithm for noisy convolutive source separation. [Citation Graph (, )][DBLP]


  50. Manifold Alpha-Integration. [Citation Graph (, )][DBLP]


  51. Weighted Nonnegative Matrix Co-Tri-Factorization for Collaborative Prediction. [Citation Graph (, )][DBLP]


  52. Gaussian processes for source separation. [Citation Graph (, )][DBLP]


  53. Nonnegative Tucker decomposition with alpha-divergence. [Citation Graph (, )][DBLP]


  54. Target speech extractionwith learned spectral bases. [Citation Graph (, )][DBLP]


  55. Ensembles of landmark multidimensional scalings. [Citation Graph (, )][DBLP]


  56. Probabilistic matrix tri-factorization. [Citation Graph (, )][DBLP]


  57. Weighted nonnegative matrix factorization. [Citation Graph (, )][DBLP]


  58. Noninvasive BCIs: Multiway Signal-Processing Array Decompositions. [Citation Graph (, )][DBLP]


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