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PAMI
2006
81views more  PAMI 2006»
15 years 3 months ago
Robust and Accurate Vectorization of Line Drawings
This paper presents a method for vectorizing the graphical parts of paper-based line drawings. The method consists of separating the input binary image into layers of homogeneous t...
Xavier Hilaire, Karl Tombre
OL
2011
177views Neural Networks» more  OL 2011»
14 years 6 months ago
Exploiting vector space properties to strengthen the relaxation of bilinear programs arising in the global optimization of proce
In this paper we present a methodology for finding tight convex relaxations for a special set of quadratic constraints given by bilinear and linear terms that frequently arise in ...
Juan P. Ruiz, Ignacio E. Grossmann
ICML
2004
IEEE
16 years 4 months ago
The Bayesian backfitting relevance vector machine
Traditional non-parametric statistical learning techniques are often computationally attractive, but lack the same generalization and model selection abilities as state-of-the-art...
Aaron D'Souza, Sethu Vijayakumar, Stefan Schaal
STOC
2001
ACM
147views Algorithms» more  STOC 2001»
16 years 4 months ago
Conditions on input vectors for consensus solvability in asynchronous distributed systems
This article introduces and explores the condition-based approach to solve the consensus problem in asynchronous systems. The approach studies conditions that identify sets of inpu...
Achour Mostéfaoui, Michel Raynal, Sergio Ra...
ASAP
2007
IEEE
219views Hardware» more  ASAP 2007»
15 years 10 months ago
SIMD Vectorization of Histogram Functions
Existing SIMD extensions cannot efficiently vectorize the histogram function due to memory collisions. We propose two techniques to avoid this problem. In the first, a hierarchi...
Asadollah Shahbahrami, Ben H. H. Juurlink, Stamati...