9886 search results - page 304 / 1978 » Learning Compressible Models |
166
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BMVC
2010
15 years 2 months ago
2010
Recognizing 3D objects from arbitrary view points is one of the most fundamental problems in computer vision. A major challenge lies in the transition between the 3D geometry of o...
194
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AROBOTS
2011
14 years 11 months ago
2011
Abstract— GP-BayesFilters are a general framework for integrating Gaussian process prediction and observation models into Bayesian filtering techniques, including particle filt...
168
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CVPR
2011
IEEE
14 years 8 months ago
2011
IEEE
People detection is an important task for a wide range of applications in computer vision. State-of-the-art methods learn appearance based models requiring tedious collection and ...
211
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ICCV
2011
IEEE
14 years 4 months ago
2011
IEEE
We propose a novel way to induce a random field from an energy function on discrete labels. It amounts to locally injecting noise to the energy potentials, followed by finding t...
136
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ISCAS
2002
IEEE
15 years 9 months ago
2002
IEEE
We have implemented an aspect of learning and memory in the nervous system using analog electronics. Using a simple synaptic circuit we realize networks with Hebbian type adaptati...