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ICCV
2007
IEEE
14 years 2 months ago
Laplacian PCA and Its Applications
Dimensionality reduction plays a fundamental role in data processing, for which principal component analysis (PCA) is widely used. In this paper, we develop the Laplacian PCA (LPC...
Deli Zhao, Zhouchen Lin, Xiaoou Tang
CSCLP
2004
Springer
14 years 1 months ago
Automatically Exploiting Symmetries in Constraint Programming
We introduce a framework for studying and solving a class of CSP formulations. The framework allows constraints to be expressed as linear and nonlinear equations, then compiles th...
Arathi Ramani, Igor L. Markov
PLDI
2003
ACM
14 years 1 months ago
Taming the IXP network processor
We compile Nova, a new language designed for writing network processing applications, using a back end based on integer-linear programming (ILP) for register allocation, optimal b...
Lal George, Matthias Blume
ICPP
2000
IEEE
14 years 7 days ago
Partitioning Loops with Variable Dependence Distances
A new technique to parallelize loops with variable distance vectors is presented. The method extends previous methods in two ways. First, the present method makes it possible for ...
Yijun Yu, Erik H. D'Hollander
CONCUR
1992
Springer
13 years 12 months ago
The Duality of TIme and Information
The states of a computing system bear information and change time, while its events bear time and change information. We develop a primitive algebraic model of this duality of tim...
Vaughan R. Pratt