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» A Declarative Framework for Analysis and Optimization
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DCC
2011
IEEE
13 years 2 months ago
Scalar Quantization for Relative Error
Quantizers for probabilistic sources are usually optimized for mean-squared error. In many applications, maintaining low relative error is a more suitable objective. This measure ...
John Z. Sun, Vivek K. Goyal
PLDI
2009
ACM
14 years 2 months ago
Analyzing recursive programs using a fixed-point calculus
We show that recursive programs where variables range over finite domains can be effectively and efficiently analyzed by describing the analysis algorithm using a formula in a ...
Salvatore La Torre, Parthasarathy Madhusudan, Genn...
DOCENG
2009
ACM
14 years 2 months ago
Annotations with EARMARK for arbitrary, overlapping and out-of order markup
In this paper we propose a novel approach to markup, called Extreme Annotational RDF Markup (EARMARK), using RDF and OWL to annotate features in text content that cannot be mapped...
Silvio Peroni, Fabio Vitali
TPHOL
2007
IEEE
14 years 2 months ago
Extracting Purely Functional Contents from Logical Inductive Types
We propose a method to extract purely functional contents from logical inductive types in the context of the Calculus of Inductive Constructions. This method is based on a mode con...
David Delahaye, Catherine Dubois, Jean-Fréd...
CVPR
2005
IEEE
14 years 10 months ago
Subspace Analysis Using Random Mixture Models
In [1], three popular subspace face recognition methods, PCA, Bayes, and LDA were analyzed under the same framework and an unified subspace analysis was proposed. However, since t...
Xiaogang Wang, Xiaoou Tang