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115
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ICRA
2010
IEEE
144views Robotics» more  ICRA 2010»
15 years 1 months ago
Learning to grasp objects with multiple contact points
— We consider the problem of grasping novel objects and its application to cleaning a desk. A recent successful approach applies machine learning to learn one grasp point in an i...
Quoc V. Le, David Kamm, A. F. Kara, Andrew Y. Ng
AAAI
2011
14 years 3 months ago
Convex Sparse Coding, Subspace Learning, and Semi-Supervised Extensions
Automated feature discovery is a fundamental problem in machine learning. Although classical feature discovery methods do not guarantee optimal solutions in general, it has been r...
Xinhua Zhang, Yaoliang Yu, Martha White, Ruitong H...
148
Voted
CVPR
2008
IEEE
16 years 5 months ago
Discriminative learned dictionaries for local image analysis
Sparse signal models have been the focus of much recent research, leading to (or improving upon) state-of-the-art results in signal, image, and video restoration. This article ext...
Julien Mairal, Francis Bach, Jean Ponce, Guillermo...
105
Voted
ICIP
2004
IEEE
16 years 5 months ago
Automatically learning structural units in educational videos with the hierarchical hidden markov models
In this paper we present a coherent approach using the hierarchical HMM with shared structures to extract the structural units that form the building blocks of an education/traini...
Dinh Q. Phung, Svetha Venkatesh, Hung Hai Bui
121
Voted
ICPR
2004
IEEE
16 years 4 months ago
Learning High-level Independent Components of Images through a Spectral Representation
Statistical methods, such as independent component analysis, have been successful in learning local low-level features from natural image data. Here we extend these methods for le...
Aapo Hyvärinen, Jussi T. Lindgren