988 search results - page 55 / 198 » Learning with Local and Global Consistency |
166
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ICRA
2010
IEEE
15 years 4 months ago
2010
IEEE
We present an approach for efficiently recognizing all objects in a scene and estimating their full pose from multiple views. Our approach builds upon a state of the art single-vie...
207
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ARCS
2005
Springer
15 years 11 months ago
2005
Springer
We propose an active vision system for object acquisition. The core of our approach is a reinforcement learning module which learns a strategy to scan an object. The agent moves a...
179
Voted
ACCV
2009
Springer
15 years 10 months ago
2009
Springer
We study the problem of classifying images into a given, pre-determined taxonomy. The task can be elegantly translated into the structured learning framework. Structured learning, ...
279
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SIAMIS
2010
15 years 25 days ago
2010
Markov random field (MRF) models, including conditional random field models, are popular in computer vision. However, in order to be computationally tractable, they are limited to ...
141
Voted
ICDM
2008
IEEE
16 years 16 days ago
2008
IEEE
We present a classification algorithm built on our adaptation of the Generalized Lotka-Volterra model, well-known in mathematical ecology. The training algorithm itself consists ...