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CORR
2011
Springer
127views Education» more  CORR 2011»
14 years 10 months ago
Generalized Boosting Algorithms for Convex Optimization
Boosting is a popular way to derive powerful learners from simpler hypothesis classes. Following previous work (Mason et al., 1999; Friedman, 2000) on general boosting frameworks,...
Alexander Grubb, J. Andrew Bagnell
DASFAA
2011
IEEE
270views Database» more  DASFAA 2011»
14 years 10 months ago
AutoBayesian: Developing Bayesian Networks Based on Text Mining
Bayesian network is a widely used tool for data analysis, modeling and decision support in various domains. There is a growing need for techniques and tools which can automatically...
Sandeep Raghuram, Yuni Xia, Jiaqi Ge, Mathew Palak...
FCCM
2011
IEEE
311views VLSI» more  FCCM 2011»
14 years 10 months ago
String Matching in Hardware Using the FM-Index
—String matching is a ubiquitous problem that arises in a wide range of applications in computing, e.g., packet routing, intrusion detection, web querying, and genome analysis. D...
Edward Fernandez, Walid Najjar, Stefano Lonardi
CVPR
2011
IEEE
14 years 10 months ago
Motion Denoising with Application to Time-lapse Photography
Motions can occur over both short and long time scales. We introduce motion denoising, which treats short-term changes as noise, long-term changes as signal, and rerenders a video...
Michael Rubinstein, Ce Liu, Bill Freeman
CVPR
2011
IEEE
14 years 10 months ago
A Non-convex Relaxation Approach to Sparse Dictionary Learning
Dictionary learning is a challenging theme in computer vision. The basic goal is to learn a sparse representation from an overcomplete basis set. Most existing approaches employ a...
Jianping Shi, Xiang Ren, Jingdong Wang, Guang Dai,...
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