625 search results - page 106 / 125 » Large-scale manifold learning |
171
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ICSE
1999
IEEE-ACM
15 years 7 months ago
1999
IEEE-ACM
This paper describes how we have extended a module structure of the Smalltalk LearningWorks to provide a programming environment deigned for very large scale technology transfer. ...
148
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ICMLC
2010
Springer
15 years 1 months ago
2010
Springer
: Patent classification is a large scale hierarchical text classification (LSHTC) task. Though comprehensive comparisons, either learning algorithms or feature selection strategies...
166
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SDM
2011
SIAM
14 years 6 months ago
2011
SIAM
In many real world prediction problems the output is a structured object like a sequence or a tree or a graph. Such problems range from natural language processing to computationa...
117
Voted
ICCV
2009
IEEE
16 years 8 months ago
2009
IEEE
Labeling image collections is a tedious task, especially
when multiple labels have to be chosen for each image. In
this paper we introduce a new framework that extends state
of ...
138
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ECCV
2008
Springer
16 years 5 months ago
2008
Springer
We study the task to infer and to track the viewpoint onto a 3D rigid object by observing its image contours in a sequence of images. To this end, we consider the manifold of invar...