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» Geometric constraint satisfaction using optimization methods
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CVPR
2010
IEEE
16 years 3 months ago
Boundary Learning by Optimization with Topological Constraints
Recent studies have shown that machine learning can improve the accuracy of detecting object boundaries in images. In the standard approach, a boundary detector is trained by mini...
Viren Jain, Benjamin Bollmann, Bobby Kasthuri, Ken...
CG
2007
Springer
15 years 6 months ago
Multiresolution for curves and surfaces based on constraining wavelets
We present a novel method for determining local multiresolution filters for a broad range of subdivision schemes. Our approach is based on constraining the wavelet coefficients s...
Luke Olsen, Faramarz F. Samavati, Richard H. Barte...
WEBI
2010
Springer
15 years 4 months ago
Expertise Matching via Constraint-Based Optimization
Abstract--Expertise matching, aiming to find the alignment between experts and queries, is a common problem in many real applications such as conference paper-reviewer assignment, ...
Wenbin Tang, Jie Tang, Chenhao Tan
IJCAI
2003
15 years 8 months ago
Making the Breakout Algorithm Complete Using Systematic Search
Local search algorithms have been very successful for solving constraint satisfaction problems (CSP). However, a major weakness has been that local search is unable to detect unso...
Carlos Eisenberg, Boi Faltings
JUCS
2010
152views more  JUCS 2010»
15 years 1 months ago
Verification of Structural Pattern Conformance Using Logic Programming
: This paper formalizes UML class diagrams and structural patterns as mathematical objects and provides a precise notion of conformance of a structural model specified as a class d...
Lunjin Lu, Dae-Kyoo Kim, Yuanlin Zhu, Sangsig Kim