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» The Structure of Sparse Resultant Matrices
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153
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CVPR
2011
IEEE
14 years 7 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
125
Voted
FIMH
2007
Springer
15 years 7 months ago
Constrained Reconstruction of Sparse Cardiac MR DTI Data
Magnetic resonance diffusion tensor imaging (DTI) has emerged as a convenient and reliable alternative to conventional histology for characterizing the fiber structure of the myoca...
Ganesh Adluru, Edward Hsu, Edward V. R. Di Bella
130
Voted
OL
2008
78views more  OL 2008»
15 years 3 months ago
Slopes of shadow prices and Lagrange multipliers
Abstract Manyeconomicmodels andoptimizationproblems generate(endogenous) shadow prices--alias dual variables or Lagrange multipliers. Frequently the "slopes" of resulting...
Sjur Didrik Flåm, Hubertus Th. Jongen, Olive...
142
Voted
BMCBI
2008
145views more  BMCBI 2008»
15 years 3 months ago
Directed acyclic graph kernels for structural RNA analysis
Background: Recent discoveries of a large variety of important roles for non-coding RNAs (ncRNAs) have been reported by numerous researchers. In order to analyze ncRNAs by kernel ...
Kengo Sato, Toutai Mituyama, Kiyoshi Asai, Yasubum...
144
Voted
CVPR
2010
IEEE
16 years 3 days ago
High-Resolution Modeling of Moving and Deforming Objects Using Sparse Geometric and Dense Photometric Measurements
Modeling moving and deforming objects requires capturing as much information as possible during a very short time. When using off-the-shelf hardware, this often hinders the resolu...
Yi Xu, Daniel Aliaga