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SAC
2009
ACM
14 years 4 months ago
Combining statistics and semantics via ensemble model for document clustering
Incorporating background knowledge into data mining algorithms is an important but challenging problem. Current approaches in semi-supervised learning require explicit knowledge p...
Samah Jamal Fodeh, William F. Punch, Pang-Ning Tan
CORR
2000
Springer
75views Education» more  CORR 2000»
13 years 9 months ago
Noun-phrase co-occurrence statistics for semi-automatic semantic lexicon construction
Generating semantic lexicons semiautomatically could be a great time saver, relative to creating them by hand. In this paper, we present an algorithm for extracting potential entr...
Brian Roark, Eugene Charniak
ICASSP
2010
IEEE
13 years 8 months ago
Exploring statistical properties for semantic annotation: sparse distributed and convergent assumptions for keywords
Does there exist a compact set of visual topics in form of keyword clusters capable to represent all images visual content within an acceptable error? In this paper, we answer thi...
Xianming Liu, Hongxun Yao, Rongrong Ji
PAMI
2011
13 years 4 months ago
Color Constancy Using Natural Image Statistics and Scene Semantics
—Existing color constancy methods are all based on specific assumptions such as the spatial and spectral characteristics of images. As a consequence, no algorithm can be conside...
Arjan Gijsenij, Theo Gevers
KDD
2005
ACM
98views Data Mining» more  KDD 2005»
14 years 3 months ago
Mining images on semantics via statistical learning
Jianping Fan, Hangzai Luo, Mohand-Said Hacid