396 search results - page 48 / 80 » Lossy Reduction for Very High Dimensional Data |
120
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HICSS
1999
IEEE
1999
IEEE
Web-based Access to Distributed High-Performance Geographic Information Systems for Decision Support
15 years 4 months ago
A number of applications that use GIS for decision support can potentially be enhanced by the use of high-performance computers, broadband networks and mass data stores. We descri...
105
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PRL
2010
14 years 10 months ago
2010
: Single training image face recognition is one of main challenges to appearance-based pattern recognition techniques. Many classical dimensionality reduction methods such as LDA h...
100
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IVC
2007
14 years 11 months 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...
101
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ICASSP
2011
IEEE
14 years 3 months ago
2011
IEEE
A K∗ -sparse vector x∗ ∈ RN produces measurements via linear dimensionality reduction as u = Φx∗ + n, where Φ ∈ RM×N (M < N), and n ∈ RM consists of independent ...
EDBT
2008
ACM
15 years 12 months ago
2008
ACM
Due to the well-known dimensionality curse problem, search in a high-dimensional space is considered as a "hard" problem. In this paper, a novel symmetrical encoding-bas...