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» Computing the Dimension of Linear Subspaces
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ICB
2007
Springer
148views Biometrics» more  ICB 2007»
14 years 4 months ago
Walker Recognition Without Gait Cycle Estimation
Abstract. Most of gait recognition algorithms involve walking cycle estimation to accomplish signature matching. However, we may be plagued by two cycle-related issues when develop...
Daoliang Tan, Shiqi Yu, Kaiqi Huang, Tieniu Tan
COCO
2009
Springer
113views Algorithms» more  COCO 2009»
14 years 2 months ago
Extractors for Low-Weight Affine Sources
We give polynomial time computable extractors for low-weight affince sources. A distribution is affine if it samples a random points from some unknown low dimensional subspace of ...
Anup Rao
ICDM
2007
IEEE
159views Data Mining» more  ICDM 2007»
14 years 1 months ago
Spectral Regression: A Unified Approach for Sparse Subspace Learning
Recently the problem of dimensionality reduction (or, subspace learning) has received a lot of interests in many fields of information processing, including data mining, informati...
Deng Cai, Xiaofei He, Jiawei Han
PAMI
2006
208views more  PAMI 2006»
13 years 10 months ago
Combining Reconstructive and Discriminative Subspace Methods for Robust Classification and Regression by Subsampling
Linear subspace methods that provide sufficient reconstruction of the data, such as PCA, offer an efficient way of dealing with missing pixels, outliers, and occlusions that often ...
Sanja Fidler, Danijel Skocaj, Ales Leonardis
SDM
2009
SIAM
180views Data Mining» more  SDM 2009»
14 years 7 months ago
Hierarchical Linear Discriminant Analysis for Beamforming.
This paper demonstrates the applicability of the recently proposed supervised dimension reduction, hierarchical linear discriminant analysis (h-LDA) to a well-known spatial locali...
Barry L. Drake, Haesun Park, Jaegul Choo