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PAMI
2007
249views more  PAMI 2007»
15 years 3 months ago
General Tensor Discriminant Analysis and Gabor Features for Gait Recognition
— The traditional image representations are not suited to conventional classification methods, such as the linear discriminant analysis (LDA), because of the under sample problem...
Dacheng Tao, Xuelong Li, Xindong Wu, Stephen J. Ma...
ISCAS
2006
IEEE
110views Hardware» more  ISCAS 2006»
15 years 10 months ago
Network-on-chip link analysis under power and performance constraints
— This paper analyzes the behavior of interconnects in the highly structured environment of a network-on-chip (NoC). Two distinct classes of wires are considered, namely links be...
Manho Kim, Daewook Kim, Gerald E. Sobelman
CVPR
2007
IEEE
16 years 6 months ago
Integrating Global and Local Structures: A Least Squares Framework for Dimensionality Reduction
Linear Discriminant Analysis (LDA) is a popular statistical approach for dimensionality reduction. LDA captures the global geometric structure of the data by simultaneously maximi...
Jianhui Chen, Jieping Ye, Qi Li
WILF
2007
Springer
170views Fuzzy Logic» more  WILF 2007»
15 years 10 months ago
Time-Series Alignment by Non-negative Multiple Generalized Canonical Correlation Analysis
Background: Quantitative analysis of differential protein expressions requires to align temporal elution measurements from liquid chromatography coupled to mass spectrometry (LC/M...
Bernd Fischer, Volker Roth, Joachim M. Buhmann
ICML
2002
IEEE
16 years 5 months ago
Hierarchically Optimal Average Reward Reinforcement Learning
Two notions of optimality have been explored in previous work on hierarchical reinforcement learning (HRL): hierarchical optimality, or the optimal policy in the space defined by ...
Mohammad Ghavamzadeh, Sridhar Mahadevan