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CORR
2011
Springer
261views Education» more  CORR 2011»
13 years 3 months ago
Convex and Network Flow Optimization for Structured Sparsity
We consider a class of learning problems regularized by a structured sparsity-inducing norm defined as the sum of 2- or ∞-norms over groups of variables. Whereas much effort ha...
Julien Mairal, Rodolphe Jenatton, Guillaume Obozin...
CVPR
2009
IEEE
1133views Computer Vision» more  CVPR 2009»
15 years 3 months ago
Hierarchical Spatio-Temporal Context Modeling for Action Recognition
The problem of recognizing actions in realistic videos is challenging yet absorbing owing to its great potentials in many practical applications. Most previous research is limit...
Jintao Li, Ju Sun, Loong Fah Cheong, Shuicheng Yan...
DAC
2007
ACM
14 years 13 days ago
A Probabilistic Approach to Model Resource Contention for Performance Estimation of Multi-featured Media Devices
The number of features that are supported in modern multimedia devices is increasing faster than ever. Estimating the performance of such applications when they are running on sha...
Akash Kumar, Bart Mesman, Henk Corporaal, Bart D. ...
NN
2007
Springer
267views Neural Networks» more  NN 2007»
13 years 8 months ago
Modeling of gene regulatory networks with hybrid differential evolution and particle swarm optimization
In the last decade, recurrent neural networks (RNNs) have attracted more efforts in inferring genetic regulatory networks (GRNs), using time series gene expression data from micro...
Rui Xu, Ganesh K. Venayagamoorthy, Donald C. Wunsc...
CORR
2011
Springer
159views Education» more  CORR 2011»
13 years 3 months ago
How to Play Unique Games against a Semi-Random Adversary
In this paper, we study the average case complexity of the Unique Games problem. We propose a natural semi-random model, in which a unique game instance is generated in several st...
Alexandra Kolla, Konstantin Makarychev, Yury Makar...