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» Approximating Component Selection
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FOCS
1999
IEEE
15 years 7 months ago
Hardness of Approximating the Minimum Distance of a Linear Code
We show that the minimum distance of a linear code is not approximable to within any constant factor in random polynomial time (RP), unless nondeterministic polynomial time (NP) eq...
Ilya Dumer, Daniele Micciancio, Madhu Sudan
TROB
2010
129views more  TROB 2010»
15 years 1 months ago
A Probabilistic Particle-Control Approximation of Chance-Constrained Stochastic Predictive Control
—Robotic systems need to be able to plan control actions that are robust to the inherent uncertainty in the real world. This uncertainty arises due to uncertain state estimation,...
Lars Blackmore, Masahiro Ono, Askar Bektassov, Bri...
ISBI
2006
IEEE
16 years 3 months ago
Sample dependence correction for order selection in fMRI analysis
Multivariate analysis methods such as independent component analysis (ICA) have been applied to the analysis of functional magnetic resonance imaging (fMRI) data to study the brai...
Tülay Adali, Vince D. Calhoun, Yi-Ou Li
CIVR
2008
Springer
127views Image Analysis» more  CIVR 2008»
15 years 4 months ago
Investigating keyframe selection methods in the novel domain of passively captured visual lifelogs
The SenseCam is a passive capture wearable camera, worn around the neck, and when worn continuously it takes an average of 1,900 images per day. It can be used to create a persona...
Aiden R. Doherty, Daragh Byrne, Alan F. Smeaton, G...
KDD
2012
ACM
187views Data Mining» more  KDD 2012»
13 years 5 months ago
Unsupervised feature selection for linked social media data
The prevalent use of social media produces mountains of unlabeled, high-dimensional data. Feature selection has been shown effective in dealing with high-dimensional data for eï¬...
Jiliang Tang, Huan Liu