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NN
2008
Springer
201views Neural Networks» more  NN 2008»
13 years 10 months ago
Learning representations for object classification using multi-stage optimal component analysis
Learning data representations is a fundamental challenge in modeling neural processes and plays an important role in applications such as object recognition. In multi-stage Optima...
Yiming Wu, Xiuwen Liu, Washington Mio
IJON
2006
53views more  IJON 2006»
13 years 10 months ago
Sub-intrapersonal space analysis for face recognition
Bayesian subspace analysis has been successfully applied in face recognition. However, it suffers from its operating on a whole face difference and using one global linear subspac...
Xiaoyang Tan, Jun Liu, Songcan Chen
ICML
2007
IEEE
14 years 10 months ago
Classifying matrices with a spectral regularization
We propose a method for the classification of matrices. We use a linear classifier with a novel regularization scheme based on the spectral 1-norm of its coefficient matrix. The s...
Ryota Tomioka, Kazuyuki Aihara
NIPS
2008
13 years 11 months ago
Convergence and Rate of Convergence of a Manifold-Based Dimension Reduction Algorithm
We study the convergence and the rate of convergence of a local manifold learning algorithm: LTSA [13]. The main technical tool is the perturbation analysis on the linear invarian...
Andrew Smith, Xiaoming Huo, Hongyuan Zha
ICASSP
2009
IEEE
14 years 4 months ago
DOA estimation of quasi-stationary signals via Khatri-Rao subspace
This paper addresses the problem of direction-of-arrival (DOA) estimation of quasi-stationary signals, which finds applications in array processing of speech and audio. By studyi...
Wing-Kin Ma, Tsung-Han Hsieh, Chong-Yung Chi