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JMLR
2006
92views more  JMLR 2006»
15 years 6 months ago
Linear Programs for Hypotheses Selection in Probabilistic Inference Models
We consider an optimization problem in probabilistic inference: Given n hypotheses Hj, m possible observations Ok, their conditional probabilities pk j, and a particular Ok, selec...
Anders Bergkvist, Peter Damaschke, Marcel Lüt...
TNN
2008
133views more  TNN 2008»
15 years 6 months ago
A General Wrapper Approach to Selection of Class-Dependent Features
In this paper, we argue that for a C-class classification problem, C 2-class classifiers, each of which discriminating one class from the other classes and having a characteristic ...
Lipo Wang, Nina Zhou, Feng Chu
TSP
2008
114views more  TSP 2008»
15 years 6 months ago
Clipping-Noise Guided Sign-Selection for PAR Reduction in OFDM Systems
The peak-to-average power ratio (PAR) of orthogonal frequency division multiplexing (OFDM) systems can be reduced by using an optimal set of subcarrier signs. However, this sign se...
Luqing Wang, Chintha Tellambura
TIP
2010
129views more  TIP 2010»
15 years 4 months ago
Selective Data Pruning-Based Compression Using High-Order Edge-Directed Interpolation
—This paper proposes a selective data pruning-based compression scheme to improve the rate-distortion relation of compressed images and video sequences. The original frames are p...
Dung Trung Vo, Joel Solé, Peng Yin, Cristin...
ICIP
2009
IEEE
15 years 4 months ago
Object tracking by bidirectional learning with feature selection
This paper proposes a new tracking algorithm which combines object and background information, via building object and background appearance models simultaneously by nonparametric...
Heng Wang, Xinwen Hou, Cheng-Lin Liu