1956 search results - page 65 / 392 » Learning the Relative Importance of Features in Image Data |
157
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BMVC
2010
15 years 1 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...
150
Voted
FGR
2008
IEEE
15 years 10 months ago
2008
IEEE
Automatic facial feature localization has been a longstanding challenge in the field of computer vision for several decades. This can be explained by the large variation a face i...
120
Voted
ICASSP
2011
IEEE
14 years 7 months ago
2011
IEEE
A dependent hierarchical beta process (dHBP) is developed as a prior for data that may be represented in terms of a sparse set of latent features (dictionary elements), with covar...
121
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ECML
2001
Springer
15 years 8 months ago
2001
Springer
Abstract. This paper proposes a generic extension to propositional rule learners to handle multiple-instance data. In a multiple-instance representation, each learning example is r...
174
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BMCBI
2007
15 years 3 months ago
2007
Background: Designing appropriate machine learning methods for identifying genes that have a significant discriminating power for disease outcomes has become more and more importa...