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» Class Separability in Spaces Reduced By Feature Selection
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ISCAS
2007
IEEE
152views Hardware» more  ISCAS 2007»
14 years 2 months ago
Reduced Complexity Space-Time-Frequency Model for Multi-Channel EEG and Its Applications
— Searching for an efficient summarization of multi-channel electroencephalogram (EEG) behavior is a challenging signal analysis problem. Recently, parallel factor analysis (PAR...
Yodchanan Wongsawat, Soontorn Oraintara, K. R. Rao
ICCV
2003
IEEE
14 years 10 months ago
A Class of Photometric Invariants: Separating Material from Shape and Illumination
We derive a new class of photometric invariants that can be used for a variety of vision tasks including lighting invariant material segmentation, change detection and tracking, a...
Srinivasa G. Narasimhan, Visvanathan Ramesh, Shree...
ICPR
2000
IEEE
14 years 9 months ago
Motion Segmentation Using Feature Selection and Subspace Method Based on Shape Space
Motion segmentation using feature correspondences can be regarded as a combinatorial problem. A motion segmentation algorithm using feature selection and subspace method is propos...
Naoyuki Ichimura
ICC
2011
IEEE
217views Communications» more  ICC 2011»
12 years 8 months ago
Controlling LDPC Absorbing Sets via the Null Space of the Cycle Consistency Matrix
— This paper focuses on controlling absorbing sets for a class of regular LDPC codes, known as separable, circulantbased (SCB) codes. For a specified circulant matrix, SCB codes...
Jiadong Wang, Lara Dolecek, Richard D. Wesel
BMVC
1998
13 years 10 months ago
Comparing Different Template Features for Recognizing People by their Gait
To recognize people by their gait from a sequence of images, we have proposed a statistical approach which combined eigenspace transformation (EST) with canonical space transforma...
Ping S. Huang, Chris J. Harris, Mark S. Nixon