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ICCV
2009
IEEE
1318views Computer Vision» more  ICCV 2009»
16 years 4 months ago
Non-Local Sparse Models for Image Restoration
We propose in this paper to unify two different ap- proaches to image restoration: On the one hand, learning a basis set (dictionary) adapted to sparse signal descriptions has p...
Julien Mairal, Francis Bach, Jean Ponce, Guillermo...
BMCBI
2010
149views more  BMCBI 2010»
14 years 11 months ago
A multifactorial analysis of obesity as CVD risk factor: Use of neural network based methods in a nutrigenetics context
Background: Obesity is a multifactorial trait, which comprises an independent risk factor for cardiovascular disease (CVD). The aim of the current work is to study the complex eti...
Ioannis K. Valavanis, Stavroula G. Mougiakakou, Ke...
CHI
2011
ACM
14 years 3 months ago
Towards a design model for women's empowerment in the developing world
Pulitzer Prize-winning journalist Nicholas Kristof argues that “in this century the paramount moral challenge will be the struggle for gender equality around the world.” In th...
Geeta Shroff, Matthew Kam
112
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CVPR
2011
IEEE
14 years 3 months ago
Generalized Group Sparse Classifiers with Application in fMRI Brain Decoding
The perplexing effects of noise and high feature dimensionality greatly complicate functional magnetic resonance imaging (fMRI) classification. In this paper, we present a novel f...
Bernard Ng, Rafeef Abugharbieh
ECCV
2006
Springer
16 years 1 months ago
Sparse Flexible Models of Local Features
Abstract. In recent years there has been growing interest in recognition models using local image features for applications ranging from long range motion matching to object class ...
Gustavo Carneiro, David Lowe