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CORR
2011
Springer
167views Education» more  CORR 2011»
14 years 9 months ago
Fast global convergence of gradient methods for high-dimensional statistical recovery
Many statistical M-estimators are based on convex optimization problems formed by the weighted sum of a loss function with a norm-based regularizer. We analyze the convergence rat...
Alekh Agarwal, Sahand Negahban, Martin J. Wainwrig...
119
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CORR
2008
Springer
119views Education» more  CORR 2008»
15 years 2 months ago
Atlas-Based Prostate Segmentation Using an Hybrid Registration
Abstract Purpose: This paper presents the preliminary results of a semiautomatic method for prostate segmentation of Magnetic Resonance Images (MRI) which aims to be incorporated i...
Sébastien Martin, Vincent Daanen, Jocelyne ...
119
Voted
ICIP
2010
IEEE
15 years 14 days ago
Fast semantic scene segmentation with conditional random field
In this paper, we present a fast approach to obtain semantic scene segmentation with high precision. We employ a two-stage classifier to label all image pixels. First, we use the ...
Wen Yang, Dengxin Dai, Bill Triggs, Gui-Song Xia, ...
130
Voted
ICANN
2009
Springer
15 years 9 months ago
Modelling Image Complexity by Independent Component Analysis, with Application to Content-Based Image Retrieval
Abstract. Estimating the degree of similarity between images is a challenging task as the similarity always depends on the context. Because of this context dependency, it seems qui...
Jukka Perkiö, Aapo Hyvärinen
ICPR
2008
IEEE
15 years 9 months ago
A 2D model for face superresolution
Traditional face superresolution methods treat face images as 1D vectors and apply PCA on the set of these 1D vectors to learn the face subspace. Zhang et al [7] proposed Two-dire...
B. G. Vijay Kumar, Rangarajan Aravind