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» Computationally Efficient Transductive Machines
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HCW
1999
IEEE
14 years 1 days ago
Metacomputing with MILAN
The MILAN project, a joint effort involving Arizona State University and New York University, has produced and validated fundamental techniques for the realization of efficient, r...
Arash Baratloo, Partha Dasgupta, Vijay Karamcheti,...
SDM
2008
SIAM
177views Data Mining» more  SDM 2008»
13 years 9 months ago
Practical Private Computation and Zero-Knowledge Tools for Privacy-Preserving Distributed Data Mining
In this paper we explore private computation built on vector addition and its applications in privacypreserving data mining. Vector addition is a surprisingly general tool for imp...
Yitao Duan, John F. Canny
IPPS
2010
IEEE
13 years 5 months ago
Oblivious algorithms for multicores and network of processors
We address the design of algorithms for multicores that are oblivious to machine parameters. We propose HM, a multicore model consisting of a parallel shared-memory machine with hi...
Rezaul Alam Chowdhury, Francesco Silvestri, Brando...
CSCW
2006
ACM
14 years 1 months ago
Effects of machine translation on collaborative work
Even though multilingual communities that use machine translation to overcome language barriers are increasing, we still lack a complete understanding of how machine translation a...
Naomi Yamashita, Toru Ishida
DICTA
2007
13 years 9 months ago
Efficient Image Processing with the Apply Language
Apply is a Domain-Specific Language for image processing and low-level computer vision. Apply allows programmers to write kernel operations that focus on the computation for a sin...
Leonard G. C. Hamey