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98
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CORR
2010
Springer
167views Education» more  CORR 2010»
15 years 24 days ago
Network Flow Algorithms for Structured Sparsity
We consider a class of learning problems that involve a structured sparsityinducing norm defined as the sum of -norms over groups of variables. Whereas a lot of effort has been pu...
Julien Mairal, Rodolphe Jenatton, Guillaume Obozin...
BC
2002
85views more  BC 2002»
15 years 17 days ago
Invariant recognition of feature combinations in the visual system
The operation of a hierarchical competitive network model (VisNet) of invariance learning in the visual system is investigated to determine how this class of architecture can solve...
Martin C. M. Elliffe, Edmund T. Rolls, Simon M. St...
ICCV
2011
IEEE
14 years 22 days ago
Understanding Egocentric Activities
We present a method to analyze daily activities, such as meal preparation, using video from an egocentric camera. Our method performs inference about activities, actions, hands, a...
Alireza Fathi, Ali Farhadi, James M. Rehg
AAAI
2011
14 years 21 days ago
Improving Semi-Supervised Support Vector Machines Through Unlabeled Instances Selection
Semi-supervised support vector machines (S3VMs) are a kind of popular approaches which try to improve learning performance by exploiting unlabeled data. Though S3VMs have been fou...
Yu-Feng Li, Zhi-Hua Zhou
93
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KDD
2008
ACM
186views Data Mining» more  KDD 2008»
16 years 1 months ago
Scalable and near real-time burst detection from eCommerce queries
In large scale online systems like Search, eCommerce, or social network applications, user queries represent an important dimension of activities that can be used to study the imp...
Nish Parikh, Neel Sundaresan