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CVPR
2007
IEEE
16 years 5 months ago
What makes a good model of natural images?
Many low-level vision algorithms assume a prior probability over images, and there has been great interest in trying to learn this prior from examples. Since images are very non G...
Yair Weiss, William T. Freeman
ICIP
2005
IEEE
16 years 4 months ago
Generalized Wiener estimation algorithms based on a family of heavy-tail distributions
A fundamental problem in signal processing is to estimate signal from noisy observations. When some prior information about the statistical models of the signal and noise is avail...
Guang Deng
ICCV
2009
IEEE
1069views Computer Vision» more  ICCV 2009»
16 years 8 months ago
An efficient algorithm for Co-segmentation
This paper is focused on the Co-segmentation problem [1] – where the objective is to segment a similar object from a pair of images. The background in the two images may be ar...
Dorit S. Hochbaum, Vikas Singh
ICIP
2003
IEEE
16 years 4 months ago
An integrated algorithm of incremental and robust PCA
Principal Component Analysis (PCA) is a well-established technique in image processing and pattern recognition. Incremental PCA and robust PCA are two interesting problems with nu...
Yongmin Li Li, Li-Qun Xu, Jason Morphett, Richard ...
IPMI
2005
Springer
16 years 3 months ago
Multi-object Segmentation Using Shape Particles
Deformable template models, in which a shape model and its corresponding appearance model are deformed to optimally fit an object in the image, have proven successful in many medic...
Marleen de Bruijne, Mads Nielsen