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ICMLA
2009
13 years 5 months ago
Transformation Learning Via Kernel Alignment
This article proposes an algorithm to automatically learn useful transformations of data to improve accuracy in supervised classification tasks. These transformations take the for...
Andrew Howard, Tony Jebara
PAMI
2007
159views more  PAMI 2007»
13 years 7 months ago
Soft Color Segmentation and Its Applications
—We propose an automatic approach to soft color segmentation, which produces soft color segments with an appropriate amount of overlapping and transparency essential to synthesiz...
Yu-Wing Tai, Jiaya Jia, Chi-Keung Tang
TCOM
2011
155views more  TCOM 2011»
13 years 2 months ago
Asymptotically Optimal Model Estimation for Quantization
—Using high-rate theory approximations we introduce flexible practical quantizers based on possibly non-Gaussian models in both the constrained resolution (CR) and the constrain...
Alexey Ozerov, W. Bastiaan Kleijn
ICCV
2011
IEEE
12 years 7 months ago
From Learning Models of Natural Image Patches to Whole Image Restoration
Learning good image priors is of utmost importance for the study of vision, computer vision and image processing applications. Learning priors and optimizing over whole images can...
Daniel Zoran, Yair Weiss
TVCG
2008
148views more  TVCG 2008»
13 years 7 months ago
Globally Optimal Surface Mapping for Surfaces with Arbitrary Topology
Computing smooth and optimal one-to-one maps between surfaces of same topology is a fundamental problem in graphics and such a method provides us a ubiquitous tool for geometric mo...
Xin Li, Yunfan Bao, Xiaohu Guo, Miao Jin, Xianfeng...