5046 search results - page 135 / 1010 » Feature Selection from Huge Feature Sets |
184
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HIS
2007
15 years 8 months ago
2007
Meta-Learning has been used to relate the performance of algorithms and the features of the problems being tackled. The knowledge in Meta-Learning is acquired from a set of meta-e...
179
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NIPS
2007
15 years 7 months ago
2007
Unsupervised learning algorithms aim to discover the structure hidden in the data, and to learn representations that are more suitable as input to a supervised machine than the ra...
176
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VIS
2008
IEEE
16 years 7 months ago
2008
IEEE
Data sets resulting from physical simulations typically contain a multitude of physical variables. It is, therefore, desirable that visualization methods take into account the enti...
185
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TIP
2002
15 years 6 months ago
2002
In this paper, we introduce a rotational invariant feature set for texture segmentation and classification, based on an extension of fractal dimension (FD) features. The FD extract...
164
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HAPTICS
2005
IEEE
16 years 2 days ago
2005
IEEE
In this paper we propose a new set of primitives to realize a large-area covering realistic tactile display. They stimulate the skin surface with suction pressure (SPS method) as ...