845 search results - page 23 / 169 » Complexity Dimensions and Learnability |
110
Voted
PRESENCE
2000
15 years 2 months ago
2000
We describe methods for displaying complex, texturemapped environments with four or more spatial dimensions that allow for real-time interaction. At any one moment in time, a thre...
121
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ICCV
2003
IEEE
16 years 4 months ago
2003
IEEE
Feature space analysis is the main module in many computer vision tasks. The most popular technique, k-means clustering, however, has two inherent limitations: the clusters are co...
108
Voted
DATE
2009
IEEE
15 years 9 months ago
2009
IEEE
— Today's innovations in the automotive sector are, to a great extent, based on electronics. The increasing integration complexity and stringent cost reduction goals turn E/...
133
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ICCAD
1996
IEEE
15 years 6 months ago
1996
IEEE
In this paper, we present a new capacitance extraction method named Dimension Reduction Technique (DRT) for 3D VLSI interconnects. The DRT converts a complex 3D problem into a ser...
141
Voted
SDM
2007
SIAM
15 years 4 months ago
2007
SIAM
Manifold learning is an effective methodology for extracting nonlinear structures from high-dimensional data with many applications in image analysis, computer vision, text data a...