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» Using Two-Class Classifiers for Multiclass Classification
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BMCBI
2010
135views more  BMCBI 2010»
14 years 10 months ago
Simple and flexible classification of gene expression microarrays via Swirls and Ripples
Background: A simple classification rule with few genes and parameters is desirable when applying a classification rule to new data. One popular simple classification rule, diagon...
Stuart G. Baker
ACCV
2010
Springer
14 years 5 months ago
Learning Rare Behaviours
Abstract. We present a novel approach to detect and classify rare behaviours which are visually subtle and occur sparsely in the presence of overwhelming typical behaviours. We tre...
Jian Li, Timothy M. Hospedales, Shaogang Gong, Tao...
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BMCBI
2006
120views more  BMCBI 2006»
14 years 10 months ago
Classification of protein quaternary structure by functional domain composition
Background: The number and the arrangement of subunits that form a protein are referred to as quaternary structure. Quaternary structure is an important protein attribute that is ...
Xiaojing Yu, Chuan Wang, Yixue Li
ICPR
2010
IEEE
14 years 8 months ago
Hierarchical Human Action Recognition by Normalized-Polar Histogram
This paper proposes a novel human action recognition approach which represents each video sequence by a cumulative skeletonized images (called CSI) in one action cycle. Normalized-...
Maryam Ziaeefard, Hossein Ebrahimnezhad
ICDM
2009
IEEE
137views Data Mining» more  ICDM 2009»
15 years 4 months ago
Regression Learning Vector Quantization
— Learning Vector Quantization (LVQ) is a popular class of nearest prototype classifiers for multiclass classification. Learning algorithms from this family are widely used becau...
Mihajlo Grbovic, Slobodan Vucetic