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ICASSP
2011
IEEE
13 years 16 days ago
Robust nonparametric regression by controlling sparsity
Nonparametric methods are widely applicable to statistical learning problems, since they rely on a few modeling assumptions. In this context, the fresh look advocated here permeat...
Gonzalo Mateos, Georgios B. Giannakis
CVPR
2005
IEEE
14 years 10 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
PAMI
2008
196views more  PAMI 2008»
13 years 8 months ago
Distance Learning for Similarity Estimation
In this paper, we present a general guideline to find a better distance measure for similarity estimation based on statistical analysis of distribution models and distance function...
Jie Yu, Jaume Amores, Nicu Sebe, Petia Radeva, Qi ...
MIAR
2006
IEEE
14 years 2 months ago
Improved Shape Modeling of Tubular Objects Using Cylindrical Parameterization
Statistical shape modeling is widely used for medical image segmentation and interpretation. The main problem in building a shape model is the construction of a pointwise correspon...
Toon Huysmans, Jan Sijbers, Filiep Vanpoucke, Brig...
ICCV
2007
IEEE
14 years 10 months ago
Limits of Learning-Based Superresolution Algorithms
Learning-based superresolution (SR) are popular SR techniques that use application dependent priors to infer the missing details in low resolution images (LRIs). However, their pe...
Zhouchen Lin, Junfeng He, Xiaoou Tang, Chi-Keung T...