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» Efficient subset selection based on the Renyi entropy
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ICASSP
2009
IEEE
15 years 6 months ago
Maximizing global entropy reduction for active learning in speech recognition
We propose a new active learning algorithm to address the problem of selecting a limited subset of utterances for transcribing from a large amount of unlabeled utterances so that ...
Balakrishnan Varadarajan, Dong Yu, Li Deng, Alex A...
ECAI
2008
Springer
15 years 1 months ago
Focused Ensemble Selection: A Diversity-Based Method for Greedy Ensemble Selection
Abstract. Ensemble selection deals with the reduction of an ensemble of predictive models in order to improve its efficiency and predictive performance. A number of ensemble select...
Ioannis Partalas, Grigorios Tsoumakas, Ioannis P. ...
CSL
2010
Springer
14 years 11 months ago
Active learning and semi-supervised learning for speech recognition: A unified framework using the global entropy reduction maxi
We propose a unified global entropy reduction maximization (GERM) framework for active learning and semi-supervised learning for speech recognition. Active learning aims to select...
Dong Yu, Balakrishnan Varadarajan, Li Deng, Alex A...
ICIP
2007
IEEE
16 years 1 months ago
Enable Efficient Compound Image Compression in H.264/AVC Intra Coding
This paper presents an efficient compound image compression approach based on H.264/AVC intra coding. The text blocks are distinguished from the picture blocks and compressed with...
Wenpeng Ding, Yan Lu, Feng Wu
PR
2006
161views more  PR 2006»
14 years 11 months ago
Incremental wrapper-based gene selection from microarray data for cancer classification
Gene expression microarray is a rapidly maturing technology that provides the opportunity to assay the expression levels of thousands or tens of thousands of genes in a single exp...
Roberto Ruiz Sánchez, José Crist&oac...