Sciweavers

CORR
2008
Springer
153views Education» more  CORR 2008»
13 years 4 months ago
Decomposition Techniques for Subgraph Matching
In the constraint programming framework, state-of-the-art static and dynamic decomposition techniques are hard to apply to problems with complete initial constraint graphs. For suc...
Stéphane Zampelli, Martin Mann, Yves Devill...
ICASSP
2010
IEEE
13 years 4 months ago
Sound enhancement using sparse approximation with speclets
This paper addresses an innovative approach to informed enhancement of damaged sound. It uses sparse approximations with a learned dictionary of atoms modeling the main components...
Manuel Moussallam, Pierre Leveau, Si-Mohamed Aziz ...
AAAI
2000
13 years 5 months ago
A Unified Bias-Variance Decomposition for Zero-One and Squared Loss
The bias-variance decomposition is a very useful and widely-used tool for understanding machine-learning algorithms. It was originally developed for squared loss. In recent years,...
Pedro Domingos
IJCAI
2003
13 years 6 months ago
On a generalization of triangulated graphs for domains decomposition of CSPs
In [Jegou, 1993], a decomposition method has been introduced for improving search efficiency in the area of Constraint Satisfaction Problems. This method is based on properties of...
Assef Chmeiss, Philippe Jégou, Lamia Keddar
CCCG
2003
13 years 6 months ago
Decomposing Polygons Into Diameter Bounded Components
A decomposition of a polygon P is a set of polygons whose geometric union is exactly P. We consider the problem of decomposing a polygon, which may contain holes, using subpolygon...
Chris Worman
IJCAI
2007
13 years 6 months ago
Symmetric Component Caching
Caching, symmetries, and search with decomposition are powerful techniques for pruning the search space of constraint problems. In this paper we present an innovative way of effi...
Matthew Kitching, Fahiem Bacchus
ASPDAC
2005
ACM
120views Hardware» more  ASPDAC 2005»
13 years 6 months ago
STACCATO: disjoint support decompositions from BDDs through symbolic kernels
Abstract— A disjoint support decomposition (DSD) is a representation of a Boolean function F obtained by composing two or more simpler component functions such that the component...
Stephen Plaza, Valeria Bertacco
BPM
2008
Springer
155views Business» more  BPM 2008»
13 years 6 months ago
The Refined Process Structure Tree
Abstract. We consider workflow graphs as a model for the control flow of a business process model and study the problem of workflow graph parsing, i.e., finding the structure of a ...
Jussi Vanhatalo, Hagen Völzer, Jana Koehler
DAC
1995
ACM
13 years 8 months ago
A Method for Finding Good Ashenhurst Decompositions and Its Application to FPGA Synthesis
—In this paper, we present an algorithm for finding a good Ashenhurst decomposition of a switching function. Most current methods for performing this type of decomposition are ba...
Ted Stanion, Carl Sechen
ESA
2000
Springer
110views Algorithms» more  ESA 2000»
13 years 8 months ago
Polygon Decomposition for Efficient Construction of Minkowski Sums
Several algorithms for computing the Minkowski sum of two polygons in the plane begin by decomposing each polygon into convex subpolygons. We examine different methods for decompo...
Pankaj K. Agarwal, Eyal Flato, Dan Halperin