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» An Adaptive Supersampling Method
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CVPR
2011
IEEE
13 years 5 months ago
Blind Deconvolution Using A Normalized Sparsity Measure
Blind image deconvolution is an ill-posed problem that requires regularization to solve. However, many common forms of image prior used in this setting have a major drawback in th...
Dilip Krishnan, Rob Fergus
ICASSP
2011
IEEE
13 years 1 months ago
Cross-Channel Spectral Subtraction for meeting speech recognition
We propose Cross-Channel Spectral Subtraction (CCSS), a source separation method for recognizing meeting speech where one microphone is prepared for each speaker. The method quick...
Yu Nasu, Koichi Shinoda, Sadaoki Furui
SPEECH
2008
71views more  SPEECH 2008»
13 years 10 months ago
Unsupervised intra-speaker variability compensation based on Gestalt and model adaptation in speaker verification with telephone
In this paper an unsupervised compensation method based on Gestalt, ISVC, is proposed to address the problem of limited enrolling data and noise robustness in text-dependent speak...
Néstor Becerra Yoma, Claudio Garretó...
IEEEHPCS
2010
13 years 5 months ago
Robust lossless data hiding: Analysis and evaluation
Robust lossless data hiding (LDH) methods have attracted more and more attentions for copyright protection of multimedia in lossy environment. One of the important requirements of...
Lingling An, Xinbo Gao, Cheng Deng, Feng Ji
GECCO
2007
Springer
154views Optimization» more  GECCO 2007»
14 years 4 months ago
Cross entropy and adaptive variance scaling in continuous EDA
This paper deals with the adaptive variance scaling issue in continuous Estimation of Distribution Algorithms. A phenomenon is discovered that current adaptive variance scaling me...
Yunpeng Cai, Xiaomin Sun, Hua Xu, Peifa Jia