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MCS
2001
Springer
15 years 2 months ago
Input Decimation Ensembles: Decorrelation through Dimensionality Reduction
Using an ensemble of classifiers instead of a single classifier has been shown to improve generalization performance in many machine learning problems [4, 16]. However, the exten...
Nikunj C. Oza, Kagan Tumer
FUIN
2010
268views more  FUIN 2010»
14 years 4 months ago
Boruta - A System for Feature Selection
Machine learning methods are often used to classify objects described by hundreds of attributes; in many applications of this kind a great fraction of attributes may be totally irr...
Miron B. Kursa, Aleksander Jankowski, Witold R. Ru...
ICPR
2008
IEEE
15 years 11 months ago
Multiple kernel learning from sets of partially matching image features
Abstract: Kernel classifiers based on Support Vector Machines (SVM) have achieved state-ofthe-art results in several visual classification tasks, however, recent publications and d...
Guo ShengYang, Min Tan, Si-Yao Fu, Zeng-Guang Hou,...
ICMCS
2010
IEEE
198views Multimedia» more  ICMCS 2010»
14 years 11 months ago
Naming persons in news video with label propagation
Labeling persons appearing in video frames with names detected from the video transcript helps improving the video content identification and search task. We develop a face naming...
Phi The Pham, Marie-Francine Moens, Tinne Tuytelaa...
CSB
2004
IEEE
146views Bioinformatics» more  CSB 2004»
15 years 1 months ago
Automated Protein Classification Using Consensus Decision
We propose a novel technique for automatically generating the SCOP classification of a protein structure with high accuracy. High accuracy is achieved by combining the decisions o...
Tolga Can, Orhan Çamoglu, Ambuj K. Singh, Y...