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109
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ECCV
2006
Springer
16 years 5 months ago
Discovering Texture Regularity as a Higher-Order Correspondence Problem
Abstract. Understanding texture regularity in real images is a challenging computer vision task. We propose a higher-order feature matching algorithm to discover the lattices of ne...
James Hays, Marius Leordeanu, Alexei A. Efros, Yan...
113
Voted
MICCAI
2008
Springer
16 years 4 months ago
Regularized Discriminative Direction for Shape Difference Analysis
Abstract. The "discriminative direction" has been proven useful to reveal the subtle difference between two anatomical shape classes. When a shape moves along this direct...
Luping Zhou, Richard I. Hartley, Lei Wang, Paulett...
115
Voted
CORR
2006
Springer
105views Education» more  CORR 2006»
15 years 3 months ago
A Combinatorial Family of Near Regular LDPC Codes
Abstract-- An elementary combinatorial Tanner graph construction for a family of near-regular low density parity check (LDPC) codes achieving high girth is presented. These codes a...
K. Murali Krishnan, Rajdeep Singh, L. Sunil Chandr...
125
Voted
ICASSP
2011
IEEE
14 years 7 months ago
A Lagrangian dual relaxation approach to ML MIMO detection: Reinterpreting regularized lattice decoding
This paper describes a new approximate maximum-likelihood (ML) MIMO detection approach by studying a Lagrangian dual relaxation (LDR) of ML. Unlike many existing relaxed ML method...
Jiaxian Pan, Wing-Kin Ma
130
Voted
PKDD
2009
Springer
148views Data Mining» more  PKDD 2009»
15 years 10 months ago
Feature Selection by Transfer Learning with Linear Regularized Models
Abstract. This paper presents a novel feature selection method for classification of high dimensional data, such as those produced by microarrays. It includes a partial supervisio...
Thibault Helleputte, Pierre Dupont