3250 search results - page 175 / 650 » Parameterized Learning Complexity |
188
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NIPS
2000
15 years 7 months ago
2000
People can understand complex auditory and visual information, often using one to disambiguate the other. Automated analysis, even at a lowlevel, faces severe challenges, includin...
158
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CEC
2010
IEEE
15 years 7 months ago
2010
IEEE
Learning Bayesian networks from data is an N-P hard problem with important practical applications. Several researchers have designed algorithms to overcome the computational comple...
222
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AIR
2006
15 years 6 months ago
2006
Abstract. An over-zealous machine learner can automatically generate large, intricate, theories which can be hard to understand. However, such intricate learning is not necessary i...
204
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SSPR
2004
Springer
15 years 11 months ago
2004
Springer
Abstract. In surveillance systems for monitoring people behaviour, it is imporant to build systems that can adapt to the signatures of the people tasks and movements in the environ...
196
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ICCV
2009
IEEE
15 years 4 months ago
2009
IEEE
Visual tracking is a challenging problem, as an object may change its appearance due to pose variations, illumination changes, and occlusions. Many algorithms have been proposed t...