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CORR
2010
Springer
144views Education» more  CORR 2010»
15 years 4 months ago
Privacy-Preserving Protocols for Eigenvector Computation
Abstract. In this paper, we present a protocol for computing the principal eigenvector of a collection of data matrices belonging to multiple semi-honest parties with privacy const...
Manas A. Pathak, Bhiksha Raj
112
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CORR
2008
Springer
107views Education» more  CORR 2008»
15 years 4 months ago
A Computational Framework for the Near Elimination of Spreadsheet Risk
We present Risk Integrated's Enterprise Spreadsheet Platform (ESP), a technical approach to the near-elimination of spreadsheet risk in the enterprise computing environment, ...
Yusuf Jafry, Fredrika Sidoroff, Roger Chi
CORR
2008
Springer
72views Education» more  CORR 2008»
15 years 4 months ago
Statistical Learning of Arbitrary Computable Classifiers
Statistical learning theory chiefly studies restricted hypothesis classes, particularly those with finite Vapnik-Chervonenkis (VC) dimension. The fundamental quantity of interest i...
David Soloveichik
CORR
2008
Springer
52views Education» more  CORR 2008»
15 years 4 months ago
Weighted distance transforms generalized to modules and their computation on point lattices
This paper presents the generalization of weighted distances to modules and their computation through the chamfer algorithm on general point lattices. The first part is dedicated ...
Céline Fouard, Robin Strand, Gunilla Borgef...
CORR
2006
Springer
121views Education» more  CORR 2006»
15 years 4 months ago
Heterogeneous Strong Computation Migration
The continuous increasing in performance requirements, for both scientic computation and industry, motivates the need of a powerful computing infrastructure. The Grid appeared as ...
Anolan Milanés, Noemi de La Rocque Rodrigue...