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ICDM
2008
IEEE
107views Data Mining» more  ICDM 2008»
15 years 6 months ago
Graph-Based Iterative Hybrid Feature Selection
When the number of labeled examples is limited, traditional supervised feature selection techniques often fail due to sample selection bias or unrepresentative sample problem. To ...
ErHeng Zhong, Sihong Xie, Wei Fan, Jiangtao Ren, J...
CIVR
2007
Springer
254views Image Analysis» more  CIVR 2007»
15 years 3 months ago
Soccer players identification based on visual local features
Semantic detection and recognition of objects and events contained in a video stream has to be performed in order to provide content-based annotation and retrieval of videos. This...
Lamberto Ballan, Marco Bertini, Alberto Del Bimbo,...
TKDE
2012
192views Formal Methods» more  TKDE 2012»
13 years 2 months ago
Discriminative Feature Selection by Nonparametric Bayes Error Minimization
Feature selection is fundamental to knowledge discovery from massive amount of high-dimensional data. In an effort to establish theoretical justification for feature selection al...
Shuang-Hong Yang, Bao-Gang Hu
ML
2008
ACM
248views Machine Learning» more  ML 2008»
14 years 11 months ago
Feature selection via sensitivity analysis of SVM probabilistic outputs
Feature selection is an important aspect of solving data-mining and machine-learning problems. This paper proposes a feature-selection method for the Support Vector Machine (SVM) l...
Kai Quan Shen, Chong Jin Ong, Xiao Ping Li, Einar ...
CHI
2008
ACM
16 years 6 days ago
AAMU: adaptive activation area menus for improving selection in cascading pull-down menus
Selecting items in cascading pull-down menus is a frequent task in most GUIs. These selections involve two major components: steering and selection, with the steering component be...
Erum Tanvir, Jonathan Cullen, Pourang Irani, Andy ...