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» The complexity of approximating entropy
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ASIAMS
2007
IEEE
14 years 4 months ago
Rough-Fuzzy Granulation, Rough Entropy and Image Segmentation
This talk has two parts explaining the significance of Rough sets in granular computing in terms of rough set rules and in uncertainty handling in terms of lower and upper approxi...
Sankar K. Pal
CSL
2010
Springer
13 years 9 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...
NIPS
2008
13 years 11 months ago
On the Complexity of Linear Prediction: Risk Bounds, Margin Bounds, and Regularization
This work characterizes the generalization ability of algorithms whose predictions are linear in the input vector. To this end, we provide sharp bounds for Rademacher and Gaussian...
Sham M. Kakade, Karthik Sridharan, Ambuj Tewari
ICIP
2005
IEEE
14 years 11 months ago
A BPGC-based scalable image entropy coder resilient to errors
In this paper, we present a new entropy coder, Contextbased Bit Plane Golomb Coder (CB-BPGC) for scalable image coding, which achieves better coding performance with lower complex...
Rong Zhang, Qibin Sun, Wai-Choong Wong
KCAP
2009
ACM
14 years 2 months ago
An entropy inspired measure for evaluating ontology modularization
Ontology modularization has received growing interest from the research community lately, since it supports tasks such as ontology design/reuse and knowledge selection and integra...
Paul Doran, Valentina A. M. Tamma, Terry R. Payne,...