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» Ink recognition based on statistical classification methods
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127
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BMCBI
2008
160views more  BMCBI 2008»
15 years 2 months ago
Feature selection environment for genomic applications
Background: Feature selection is a pattern recognition approach to choose important variables according to some criteria in order to distinguish or explain certain phenomena (i.e....
Fabrício Martins Lopes, David Correa Martin...
130
Voted
FGCN
2008
IEEE
175views Communications» more  FGCN 2008»
15 years 9 months ago
Environment Recognition Based on Human Actions Using Probability Networks
To realize context aware applications for smart home environments, it is necessary to recognize function or usage of objects as well as categories of them. On conventional researc...
Hiroshi Miki, Atsuhiro Kojima, Koichi Kise
ICPR
2010
IEEE
15 years 5 months ago
Gait Recognition Using Period-Based Phase Synchronization for Low Frame-Rate Videos
This paper proposes a method for period-based gait trajectory matching in the eigenspace using phase synchronization for low frame-rate videos. First, a gait period is detected by ...
Atsushi Mori, Yasushi Makihara, Yasushi Yagi
106
Voted
CVPR
2006
IEEE
16 years 4 months ago
Aligning ASL for Statistical Translation Using a Discriminative Word Model
We describe a method to align ASL video subtitles with a closed-caption transcript. Our alignments are partial, based on spotting words within the video sequence, which consists o...
Ali Farhadi, David A. Forsyth
114
Voted
ICPR
2008
IEEE
16 years 3 months ago
A method of feature selection using contribution ratio based on boosting
AdaBoost and support vector machines (SVM) algorithms are commonly used in the field of object recognition. As classifiers, their classification performance is sensitive to affect...
Masamitsu Tsuchiya, Hironobu Fujiyoshi