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PRL
2008
213views more  PRL 2008»
13 years 8 months ago
Boosting recombined weak classifiers
Boosting is a set of methods for the construction of classifier ensembles. The differential feature of these methods is that they allow to obtain a strong classifier from the comb...
Juan José Rodríguez, Jesús Ma...
ACCV
2010
Springer
13 years 3 months ago
Efficient Visual Object Tracking with Online Nearest Neighbor Classifier
Abstract. A tracking-by-detection framework is proposed that combines nearest-neighbor classification of bags of features, efficient subwindow search, and a novel feature selection...
Steve Gu, Ying Zheng, Carlo Tomasi
ICMCS
2007
IEEE
192views Multimedia» more  ICMCS 2007»
14 years 3 months ago
Effective Extraction of Gabor Features for Adaptive Mammogram Retrieval
Breast cancer is one of the most common diseases among women. Content-based mammogram retrieval has been proposed to aid various medical procedures. To develop a content-based mam...
Chia-Hung Wei, Yue Li, Chang-Tsun Li
TEC
2008
146views more  TEC 2008»
13 years 8 months ago
An Evolutionary Algorithm Approach to Optimal Ensemble Classifiers for DNA Microarray Data Analysis
In general, the analysis of microarray data requires two steps: feature selection and classification. From a variety of feature selection methods and classifiers, it is difficult t...
Kyung-Joong Kim, Sung-Bae Cho
SUTC
2008
IEEE
14 years 3 months ago
Effective Feature Space Reduction with Imbalanced Data for Semantic Concept Detection
Semantic understanding of multimedia content has become a very popular research topic in recent years. Semantic concept detection algorithms face many challenges such as the seman...
Lin Lin, Guy Ravitz, Mei-Ling Shyu, Shu-Ching Chen