581 search results - page 89 / 117 » EM in High Dimensional Spaces |
119
Voted
GIAE
2004
Springer
15 years 5 months ago
2004
Springer
In this paper, we propose the wireframe representation of nD object, which is a single 2D line drawing. A wireframe model of an nD object is composed of a set of edges connecting a...
85
Voted
IJCAI
2001
15 years 1 months ago
2001
Extracting rules from RBFs is not a trivial task because of nonlinear functions or high input dimensionality. In such cases, some of the hidden units of the RBF network have a ten...
141
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ICPP
2000
IEEE
15 years 4 months ago
2000
IEEE
Clustering is a data mining problem which finds dense regions in a sparse multi-dimensional data set. The attribute values and ranges of these regions characterize the clusters. ...
108
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IVC
2007
15 years 12 days ago
2007
- Canonical correlation analysis (CCA) is a major linear subspace approach to dimensionality reduction and has been applied to image processing, pose estimation and other fields. H...
106
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SIGMOD
2002
ACM
16 years 19 days ago
2002
ACM
Dwarf is a highly compressed structure for computing, storing, and querying data cubes. Dwarf identifies prefix and suffix structural redundancies and factors them out by coalesci...