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» An Adaptive Supersampling Method
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SADM
2010
196views more  SADM 2010»
13 years 3 months ago
Bayesian adaptive nearest neighbor
: The k nearest neighbor classification (k-NN) is a very simple and popular method for classification. However, it suffers from a major drawback, it assumes constant local class po...
Ruixin Guo, Sounak Chakraborty
TNN
2011
200views more  TNN 2011»
13 years 3 months ago
Domain Adaptation via Transfer Component Analysis
Domain adaptation solves a learning problem in a target domain by utilizing the training data in a different but related source domain. Intuitively, discovering a good feature rep...
Sinno Jialin Pan, Ivor W. Tsang, James T. Kwok, Qi...
ICASSP
2011
IEEE
13 years 17 days ago
Relevance language modeling for speech recognition
Language models for speech recognition tend to be brittle across domains, since their performance is vulnerable to changes in the genre or topic of the text on which they are trai...
Kuan-Yu Chen, Berlin Chen
PAMI
2011
13 years 3 months ago
Robust Stereo Matching Using Adaptive Normalized Cross-Correlation
—A majority of the existing stereo matching algorithms assume that the corresponding color values are similar to each other. However, it is not so in practice as image color valu...
Yong Seok Heo, Kyoung Mu Lee, Sang Uk Lee
ICASSP
2008
IEEE
14 years 3 months ago
Adaptive score normalization for progressive model adaptation in text independent speaker verification
This paper deals with the interaction between progressive model adaptation and score normalization strategies which are used for reducing the variation in likelihood ratio scores ...
Shou-Chun Yin, Richard Rose, Patrick Kenny