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JMLR
2012
12 years 17 days ago
Marginal Regression For Multitask Learning
Variable selection is an important and practical problem that arises in analysis of many high-dimensional datasets. Convex optimization procedures that arise from relaxing the NP-...
Mladen Kolar, Han Liu
TOG
2012
582views Communications» more  TOG 2012»
12 years 17 days ago
Synthesis of detailed hand manipulations using contact sampling
Capturing human activities that involve both gross full-body motion and detailed hand manipulation of objects is challenging for standard motion capture systems. We introduce a ne...
Yuting Ye, C. Karen Liu
CVPR
2012
IEEE
12 years 16 days ago
Synthesizing oil painting surface geometry from a single photograph
We present an approach to synthesize the subtle 3D relief and texture of oil painting brush strokes from a single photograph. This task is unique from traditional synthesize algor...
Wei Luo, Zheng Lu, Xiaogang Wang, Ying-Qing Xu, Mo...
STOC
2010
ACM
200views Algorithms» more  STOC 2010»
14 years 7 months ago
Hardness Amplification in Proof Complexity
We present a generic method for converting any family of unsatisfiable CNF formulas that require large resolution rank into CNF formulas whose refutation requires large rank for p...
Paul Beame, Trinh Huynh and Toniann Pitassi
CVPR
2004
IEEE
15 years 4 days ago
Model-Based Motion Clustering Using Boosted Mixture Modeling
Model-based clustering of motion trajectories can be posed as the problem of learning an underlying mixture density function whose components correspond to motion classes with dif...
Vladimir Pavlovic
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