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ICPR
2006
IEEE
14 years 8 months ago
Weakly Supervised Learning on Pre-image Problem in Kernel Methods
This paper presents a novel alternative approach, namely weakly supervised learning (WSL), to learn the pre-image of a feature vector in the feature space induced by a kernel. It ...
Weishi Zheng, Jian-Huang Lai, Pong Chi Yuen
CAIP
2009
Springer
202views Image Analysis» more  CAIP 2009»
13 years 5 months ago
Near-Regular Texture Synthesis
This paper describes a method for seamless enlargement or editing of difficult colour textures containing simultaneously both regular periodic and stochastic components. Such textu...
Michal Haindl, Martin Hatka
ISCAS
2003
IEEE
201views Hardware» more  ISCAS 2003»
14 years 22 days ago
A regularized simultaneous autoregressive model for texture classification
In this paper, we present a new method for texture classification which we call the regularized simultaneous autoregressive method (RSAR). The regularization technique is introduc...
Yao-wei Wang, Yan-fei Wang, Wen Gao, Yong Xue
CVPR
2012
IEEE
11 years 10 months ago
A tiered move-making algorithm for general pairwise MRFs
A large number of problems in computer vision can be modeled as energy minimization problems in a markov random field (MRF) framework. Many methods have been developed over the y...
Vibhav Vineet, Jonathan Warrell, Philip H. S. Torr
TIP
2010
113views more  TIP 2010»
13 years 2 months ago
Multiplicative Noise Removal Using Variable Splitting and Constrained Optimization
Multiplicative noise (also known as speckle noise) models are central to the study of coherent imaging systems, such as synthetic aperture radar and sonar, and ultrasound and laser...
José M. Bioucas-Dias, Mário A. T. Fi...