581 search results - page 93 / 117 » EM in High Dimensional Spaces |
169
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BMCBI
2005
15 years 6 months ago
2005
Background: The most common method of identifying groups of functionally related genes in microarray data is to apply a clustering algorithm. However, it is impossible to determin...
192
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ICCV
2007
IEEE
16 years 8 months ago
2007
IEEE
Many computer vision tasks may be expressed as the problem of learning a mapping between image space and a parameter space. For example, in human body pose estimation, recent rese...
174
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NIPS
1996
15 years 7 months ago
1996
Dynamic Programming, Q-learning and other discrete Markov Decision Process solvers can be applied to continuous d-dimensional state-spaces by quantizing the state space into an arr...
152
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MM
2010
ACM
15 years 6 months ago
2010
ACM
The size of personal music collections has constantly increased over the past years. As a result, the traditional metadata based lists to browse these collections have reached the...
164
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PAMI
2008
15 years 6 months ago
2008
This paper presents a new deformable modeling strategy aimed at integrating shape and appearance in a unified space. If we think traditional deformable models as "active cont...