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» Class Separability in Spaces Reduced By Feature Selection
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ISCAS
2007
IEEE
152views Hardware» more  ISCAS 2007»
16 years 3 days 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
16 years 7 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
16 years 6 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»
14 years 5 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
15 years 7 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