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» Boosting with Diverse Base Classifiers
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182
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CIRA
2007
IEEE
274views Robotics» more  CIRA 2007»
15 years 10 months ago
Adaptive Object Tracking using Particle Swarm Optimization
—This paper presents an automatic object detection and tracking algorithm by using particle swarm optimization (PSO) based method, which is a searching algorithm inspired by the ...
Yuhua Zheng, Yan Meng
129
Voted
ICMCS
2005
IEEE
105views Multimedia» more  ICMCS 2005»
15 years 9 months ago
Audio-visual affect recognition in activation-evaluation space
The ability of a computer to detect and appropriately respond to changes in a user’s affective state has significant implications to Human-Computer Interaction (HCI). To more ac...
Zhihong Zeng, ZhenQiu Zhang, Brian Pianfetti, Jili...
136
Voted
CLOR
2006
15 years 7 months ago
Shared Features for Multiclass Object Detection
Abstract. We consider the problem of detecting a large number of different classes of objects in cluttered scenes. We present a learning procedure, based on boosted decision stumps...
Antonio B. Torralba, Kevin P. Murphy, William T. F...
160
Voted
SAC
2008
ACM
15 years 2 months ago
Strangeness-based feature weighting and classification of gene expression profiles
Achieving high classification accuracy is a major challenge in the diagnosis of cancer types based on gene expression profiles. These profiles are notoriously noisy in that a larg...
Haifeng Shao, Bei Yu, Joseph H. Nadeau
142
Voted
BMCBI
2005
90views more  BMCBI 2005»
15 years 3 months ago
TMB-Hunt: An amino acid composition based method to screen proteomes for beta-barrel transmembrane proteins
Background: Beta-barrel transmembrane (bbtm) proteins are a functionally important and diverse group of proteins expressed in the outer membranes of bacteria (both gram negative a...
Andrew G. Garrow, Alison Agnew, David R. Westhead