326 search results - page 17 / 66 » Principal Component Analysis for Distributed Data Sets with ... |
TSP
2010
13 years 2 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...
ICCV
1995
IEEE
13 years 11 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...
ICPR
2006
IEEE
14 years 9 months 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
14 years 14 days 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...
CLEF
2011
Springer
12 years 7 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...