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» The RIM Framework for Image Processing
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CVPR
2010
IEEE
14 years 9 months ago
Robust RVM regression using sparse outlier model
Kernel regression techniques such as Relevance Vector Machine (RVM) regression, Support Vector Regression and Gaussian processes are widely used for solving many computer vision p...
Kaushik Mitra, Ashok Veeraraghavan, Rama Chellappa
106
Voted
ICPR
2010
IEEE
14 years 9 months ago
3D Face Reconstruction Using a Single or Multiple Views
We present a 3D face reconstruction system that takes as input either one single view or several different views. Given a facial image, we first classify the facial pose into one...
Jongmoo Choi, Gérard G. Medioni, Yuping Lin...
80
Voted
FTML
2008
185views more  FTML 2008»
14 years 9 months ago
Graphical Models, Exponential Families, and Variational Inference
The formalism of probabilistic graphical models provides a unifying framework for capturing complex dependencies among random variables, and building large-scale multivariate stat...
Martin J. Wainwright, Michael I. Jordan
JMIV
2006
72views more  JMIV 2006»
14 years 9 months ago
The Uncertainty Principle: Group Theoretic Approach, Possible Minimizers and Scale-Space Properties
The uncertainty principle is a fundamental concept in the context of signal and image processing, just as much as it has been in the framework of physics and more recently in harmo...
Chen Sagiv, Nir A. Sochen, Yehoshua Y. Zeevi
PR
2008
123views more  PR 2008»
14 years 9 months ago
Extensions of vector quantization for incremental clustering
In this paper, we extend the conventional vector quantization by incorporating a vigilance parameter, which steers the tradeoff between plasticity and stability during incremental...
Edwin Lughofer