10458 search results - page 178 / 2092 » Modeling Features at Runtime |
171
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DAC
2012
ACM
13 years 8 months ago
2012
ACM
Addressing the challenges of extreme scale computing requires holistic design of new programming models and systems that support those models. This paper discusses the Angstrom pr...
178
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IBPRIA
2005
Springer
15 years 12 months ago
2005
Springer
Usually, in traditional text categorization systems based on Vector Space Model, there is no context information in a feature vector, which limited the performance of the system. T...
164
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PKDD
2004
Springer
15 years 11 months ago
2004
Springer
A crucial issue for Machine Learning and Data Mining is Feature Selection, selecting the relevant features in order to focus the learning search. A relaxed setting for Feature Sele...
147
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ICPR
2008
IEEE
16 years 7 months ago
2008
IEEE
Many current object class models build on visual parts that constitute an object. However, visually different entities may actually refer to the same object part. This may be harm...
191
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ICML
2008
IEEE
16 years 7 months ago
2008
IEEE
Previous work has shown that the difficulties in learning deep generative or discriminative models can be overcome by an initial unsupervised learning step that maps inputs to use...