429 search results - page 47 / 86 » Unsupervised feature selection for principal components anal... |
133
Voted
IEEEPACT
2002
IEEE
15 years 8 months ago
2002
IEEE
Having a representative workload of the target domain of a microprocessor is extremely important throughout its design. The composition of a workload involves two issues: (i) whic...
126
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SMI
2008
IEEE
15 years 10 months ago
2008
IEEE
In this paper we present a new method for alignment of 3D models. This approach is based on symmetry properties, and uses the fact that the principal components analysis (PCA) hav...
137
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ENC
2007
IEEE
15 years 10 months ago
2007
IEEE
This manuscript proposes a retrieval system for fMRI brain images. Our goal is to find a similaritymetric to enable us to support queries for “similar tasks” for retrieval on...
136
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ICCV
1995
IEEE
15 years 7 months ago
1995
IEEE
A general-purpose object indexingtechnique is described that combines the virtues of principal component analysis with the favorable matching properties of high-dimensional spaces...
156
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ICIP
2008
IEEE
16 years 5 months ago
2008
IEEE
This paper proposes a robust video fingerprinting method based on 2-Dimensional Oriented Principal Component Analysis (2D-OPCA) of affine covariant regions. The goal of video fing...