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» Multi-stage Learning of Linear Algebra Algorithms
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IJCNN
2007
IEEE
14 years 1 months ago
Multi-Stage Optimal Component Analysis
— Optimal component analysis (OCA) uses a stochastic gradient optimization process to find optimal representations for general criteria and shows good performance in object reco...
Yiming Wu, Xiuwen Liu, Washington Mio
ICMLA
2008
13 years 8 months ago
Multi-stage Learning of Linear Algebra Algorithms
In evolving applications, there is a need for the dynamic selection of algorithms or algorithm parameters. Such selection is hardly ever governed by exact theory, so intelligent r...
Victor Eijkhout, Erika Fuentes
TCC
2007
Springer
170views Cryptology» more  TCC 2007»
14 years 24 days ago
Secure Linear Algebra Using Linearly Recurrent Sequences
In this work we present secure two-party protocols for various core problems in linear algebra. Our main result is a protocol to obliviously decide singularity of an encrypted matr...
Eike Kiltz, Payman Mohassel, Enav Weinreb, Matthew...
HASKELL
2006
ACM
14 years 20 days ago
Statically typed linear algebra in Haskell
Many numerical algorithms are specified in terms of operations on vectors and matrices. Matrix operations can be executed extremely efficiently using specialized linear algebra k...
Frederik Eaton
ESA
2006
Springer
118views Algorithms» more  ESA 2006»
13 years 10 months ago
Subspace Sampling and Relative-Error Matrix Approximation: Column-Row-Based Methods
Much recent work in the theoretical computer science, linear algebra, and machine learning has considered matrix decompositions of the following form: given an m
Petros Drineas, Michael W. Mahoney, S. Muthukrishn...