326 search results - page 17 / 66 » Principal Component Analysis for Distributed Data Sets with ... |
131
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TSP
2010
14 years 6 months ago
2010
Distributed averaging describes a class of network algorithms for the decentralized computation of aggregate statistics. Initially, each node has a scalar data value, and the goal...
105
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ICCV
1995
IEEE
15 years 3 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...
106
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ICPR
2006
IEEE
16 years 27 days ago
2006
IEEE
1 A kernel determines the inductive bias of a learning algorithm on a specific data set, and it is beneficial to design specific kernel for a given data set. In this work, we propo...
IPPS
2000
IEEE
15 years 4 months ago
2000
IEEE
Discovering complex associations, anomalies and patterns in distributed data sets is gaining popularity in a range of scientiļ¬c, medical and business applications. Various algor...
113
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CLEF
2011
Springer
13 years 11 months ago
2011
Springer
Abstract In this paper, we describe a novel approach to intrinsic plagiarism detection. Each suspicious document is divided into a series of consecutive, potentially overlapping ā...