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» Shape Priors using Manifold Learning Techniques
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ICML
2003
IEEE
15 years 7 months ago
The Influence of Reward on the Speed of Reinforcement Learning: An Analysis of Shaping
Shaping can be an effective method for improving the learning rate in reinforcement systems. Previously, shaping has been heuristically motivated and implemented. We provide a for...
Adam Laud, Gerald DeJong
CVPR
2012
IEEE
13 years 4 months ago
Shape, albedo, and illumination from a single image of an unknown object
We address the problem of recovering shape, albedo, and illumination from a single grayscale image of an object, using shading as our primary cue. Because this problem is fundamen...
Jonathan T. Barron, Jitendra Malik
ICASSP
2011
IEEE
14 years 5 months ago
Covariate-dependent dictionary learning and sparse coding
A dependent hierarchical beta process (dHBP) is developed as a prior for data that may be represented in terms of a sparse set of latent features (dictionary elements), with covar...
Mingyuan Zhou, Hongxia Yang, Guillermo Sapiro, Dav...
VMV
2008
162views Visualization» more  VMV 2008»
15 years 3 months ago
Learning Distinctive Local Object Characteristics for 3D Shape Retrieval
While supervised learning approaches for 3D shape retrieval have been successfully used to incorporate human knowledge about object classes based on global shape features, the inc...
Raoul Wessel, Rafal Baranowski, Reinhard Klein
123
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CBMS
2003
IEEE
15 years 5 months ago
Planar Arrangement of High-Dimensional Biomedical Data Sets by Isomap Coordinates
This article addresses 2-dimensional layout of high-dimensional biomedical datasets, which is useful for browsing them efficiently. We employ the Isomap technique, which is based ...
Ik Soo Lim, Pablo de Heras Ciechomski, Sofiane Sar...