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PAMI
2006
215views more  PAMI 2006»
13 years 8 months ago
Bayesian Feature and Model Selection for Gaussian Mixture Models
We present a Bayesian method for mixture model training that simultaneously treats the feature selection and the model selection problem. The method is based on the integration of ...
Constantinos Constantinopoulos, Michalis K. Titsia...
ICMCS
2006
IEEE
121views Multimedia» more  ICMCS 2006»
14 years 2 months ago
Novel Progressive Region of Interest Image Coding Based on Matching Pursuits
— A progressive and scalable, region of interest (ROI) image coding scheme based on matching pursuits (MP) is presented. Matching pursuit is a multi-resolutional signal analysis ...
Abbas Ebrahimi-Moghadam, Shahram Shirani
ACL
2009
13 years 6 months ago
A Framework of Feature Selection Methods for Text Categorization
In text categorization, feature selection (FS) is a strategy that aims at making text classifiers more efficient and accurate. However, when dealing with a new task, it is still d...
Shoushan Li, Rui Xia, Chengqing Zong, Chu-Ren Huan...
ECIR
2007
Springer
13 years 10 months ago
Active Learning with History-Based Query Selection for Text Categorisation
Automated text categorisation systems learn a generalised hypothesis from large numbers of labelled examples. However, in many domains labelled data is scarce and expensive to obta...
Michael Davy, Saturnino Luz
MCS
2007
Springer
14 years 2 months ago
Random Feature Subset Selection for Ensemble Based Classification of Data with Missing Features
Abstract. We report on our recent progress in developing an ensemble of classifiers based algorithm for addressing the missing feature problem. Inspired in part by the random subsp...
Joseph DePasquale, Robi Polikar