581 search results - page 93 / 117 » EM in High Dimensional Spaces |
103
Voted
BMCBI
2005
15 years 11 days 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...
121
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ICCV
2007
IEEE
16 years 2 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...
111
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NIPS
1996
15 years 1 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...
103
Voted
MM
2010
ACM
15 years 20 days 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...
98
Voted
PAMI
2008
15 years 12 days 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...