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147
Voted
TNN
2010
216views Management» more  TNN 2010»
14 years 7 months ago
Simplifying mixture models through function approximation
Finite mixture model is a powerful tool in many statistical learning problems. In this paper, we propose a general, structure-preserving approach to reduce its model complexity, w...
Kai Zhang, James T. Kwok
97
Voted
TSP
2010
14 years 7 months ago
On local intrinsic dimension estimation and its applications
In this paper, we present multiple novel applications for local intrinsic dimension estimation. There has been much work done on estimating the global dimension of a data set, typi...
Kevin M. Carter, Raviv Raich, Alfred O. Hero
CVPR
2011
IEEE
14 years 4 months ago
Total Recall II: Query Expansion Revisited
Most effective particular object and image retrieval approaches are based on the bag-of-words (BoW) model. All state-of-the-art retrieval results have been achieved by methods tha...
Ondrej Chum, Andrej Mikulik, Michal Perdoch, Jiri ...
102
Voted
ICASSP
2011
IEEE
14 years 4 months ago
Rate-SSIM optimization for video coding
The structural similarity (SSIM) index has been found to be a good indicator of perceived image quality. In this paper, we propose a rate-SSIM optimization scheme for mode selecti...
Shiqi Wang, Abdul Rehman, Zhou Wang, Siwei Ma, Wen...
CVPR
2005
IEEE
16 years 3 months ago
Local Color Transfer via Probabilistic Segmentation by Expectation-Maximization
We address the problem of regional color transfer between two natural images by probabilistic segmentation. We use a new Expectation-Maximization (EM) scheme to impose both spatia...
Yu-Wing Tai, Jiaya Jia, Chi-Keung Tang