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» Parameterized Learning Complexity
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171
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ICASSP
2011
IEEE
14 years 7 months ago
Bayesian framework and message passing for joint support and signal recovery of approximately sparse signals
In this paper, we develop a low-complexity message passing algorithm for joint support and signal recovery of approximately sparse signals. The problem of recovery of strictly spa...
Shubha Shedthikere, Ananthanarayanan Chockalingam
JMLR
2012
13 years 6 months ago
SpeedBoost: Anytime Prediction with Uniform Near-Optimality
We present SpeedBoost, a natural extension of functional gradient descent, for learning anytime predictors, which automatically trade computation time for predictive accuracy by s...
Alexander Grubb, Drew Bagnell
139
Voted
PAMI
2012
13 years 6 months ago
Monocular 3D Reconstruction of Locally Textured Surfaces
— Most recent approaches to monocular non-rigid 3D shape recovery rely on exploiting point correspondences and work best when the whole surface is well-textured. The alternative ...
Aydin Varol, Appu Shaji, Mathieu Salzmann, Pascal ...
157
Voted
CVPR
2012
IEEE
13 years 6 months ago
Max-margin early event detectors
The need for early detection of temporal events from sequential data arises in a wide spectrum of applications ranging from human-robot interaction to video security. While tempor...
Minh Hoai Nguyen, Fernando De la Torre
137
Voted
CVPR
2005
IEEE
16 years 5 months ago
Space-Time Behavior Based Correlation
We introduce a behavior-based similarity measure which tells us whether two different space-time intensity patterns of two different video segments could have resulted from a simi...
Eli Shechtman, Michal Irani