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130
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ICIP
2010
IEEE
14 years 11 months ago
2010
IEEE
Most approaches to learn classifiers for structured objects (e.g., images) use generative models in a classical Bayesian framework. However, state-of-the-art classifiers for vecto...
127
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ICRA
2010
IEEE
14 years 12 months ago
2010
IEEE
Abstract— Scene recognition is a highly valuable perceptual ability for an indoor mobile robot, however, current approaches for scene recognition present a significant drop in p...
123
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ECCV
2004
Springer
16 years 3 months ago
2004
Springer
We present a probabilistic framework for recognizing objects in images of cluttered scenes. Hundreds of objects may be considered and searched in parallel. Each object is learned f...
142
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BMCBI
2010
15 years 1 months ago
2010
Background: Mathematical modeling is being applied to increasingly complex biological systems and datasets; however, the process of analyzing and calibrating against experimental ...
120
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IROS
2006
IEEE
15 years 7 months ago
2006
IEEE
- We propose a novel framework for imitation learning that helps a humanoid robot achieve its goal of learning. There are apparent discrepancies in shapes and sizes among humans an...