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Seungjin Choi
Articles in Scholarly Journals [Incomplete List]
A relative trust-region algorithm for independent component analysis
Neurocomputing, vol. 70, no. 7-9, pp. 1502–1510, 2007
Learning principal directions: Integrated-squared-error minimization
Neurocomputing, vol. 70, no. 7-9, pp. 1372–1381, 2007
Robust kernel Isomap
Pattern Recognition, vol. 40, no. 3, pp. 853–862, 2007
NONNEGATIVE TENSOR FACTORIZATION FOR CONTINUOUS EEG CLASSIFICATION
International Journal of Neural Systems, vol. 17, no. 04, p. 305, 2007
Coupled Helmholtz machine for PCA
Electronics Letters, vol. 42, no. 16, p. 936, 2006
Semidefinite spectral clustering
Pattern Recognition, vol. 39, no. 11, pp. 2025–2035, 2006
A Bayesian network classifier and hierarchical Gabor features for handwritten numeral recognition
Pattern Recognition Letters, vol. 27, no. 1, pp. 66–75, 2006
Prediction of subcellular localization of proteins using pairwise sequence alignment and support vector machine
Pattern Recognition Letters, vol. 27, no. 9, pp. 996–1001, 2006
Differential learning algorithms for decorrelation and independent component analysis
Neural Networks, vol. 19, no. 10, pp. 1558–1567, 2006
Sequence-driven features for prediction of subcellular localization of proteins
Pattern Recognition, vol. 39, no. 12, pp. 2301–2311, 2006
Constrained Projection Approximation Algorithms for Principal Component Analysis
Neural Processing Letters, vol. 24, no. 1, pp. 53–65, 2006
Maximum within-cluster association
Pattern Recognition Letters, vol. 26, no. 10, pp. 1412–1422, 2005
Nonnegative features of spectro-temporal sounds for classification
Pattern Recognition Letters, vol. 26, no. 9, pp. 1327–1336, 2005
Kernel Isomap
Electronics Letters, vol. 40, no. 25, p. 1612, 2004
Sequential EM learning for subspace analysis
Pattern Recognition Letters, vol. 25, no. 14, pp. 1559–1567, 2004
Equivariant nonstationary source separation
Neural Networks, vol. 15, no. 1, pp. 121–130, 2002
Multichannel signal separation for cocktail party speech recognition: a dynamic recurrent network
Neurocomputing, vol. 49, no. 1-4, pp. 299–314, 2002
The Journal of VLSI Signal Processing, vol. 32, no. 1/2, pp. 93–104, 2002
Algebraic differential decorrelation for nonstationary source separation
Electronics Letters, vol. 37, no. 23, p. 1414, 2001
Blind separation of nonstationary sources in noisy mixtures
Electronics Letters, vol. 36, no. 9, p. 848, 2000
The Journal of VLSI Signal Processing, vol. 26, no. 1/2, pp. 25–38, 2000
Hybrid learning approach to blind deconvolution of linear MIMO systems
Electronics Letters, vol. 35, no. 17, p. 1429, 1999
Differential Hebbian-type learning algorithms for decorrelation and independent component analysis
Electronics Letters, vol. 34, no. 9, p. 900, 1998
Neural Processing Letters, vol. 7, no. 2, pp. 61–68, 1998