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» Geometric constraint satisfaction using optimization methods
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CVPR
2010
IEEE
15 years 10 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...
111
Voted
CG
2007
Springer
15 years 1 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
14 years 11 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 2 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
129
Voted
JUCS
2010
152views more  JUCS 2010»
14 years 8 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