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» On Non-Approximability for Quadratic Programs
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ICPR
2010
IEEE
14 years 3 months ago
Semi-Supervised Distance Metric Learning by Quadratic Programming
This paper introduces a semi-supervised distance metric learning algorithm which uses pair-wise equivalence (similarity and dissimilarity) constraints to improve the original dist...
Hakan Cevikalp
ICMCS
2005
IEEE
136views Multimedia» more  ICMCS 2005»
14 years 1 months ago
Soft Region Correspondence Estimation for Graph-Theoretic Image Retrieval Using Quadratic Programming Approach
This paper proposes employing a graph-theoretic approach to estimate the region correspondence between two images. We represent each image as an attributed undirected graph and tr...
Chuech-Yu Li, Chiou-Ting Hsu
DATE
2004
IEEE
92views Hardware» more  DATE 2004»
13 years 11 months ago
Optimization of Integrated Spiral Inductors Using Sequential Quadratic Programming
The optimization of integrated spiral inductors has great practical importance. Previous optimization methods used in this field are either too slow or depend on very simplified a...
Yong Zhan, Sachin S. Sapatnekar
GECCO
2000
Springer
225views Optimization» more  GECCO 2000»
13 years 11 months ago
Solving Large Binary Quadratic Programming Problems by Effective Genetic Local Search Algorithm
A genetic local search (GLS) algorithm, which is a combination technique of genetic algorithm and local search, for the unconstrained binary quadratic programming problem (BQP) is...
Kengo Katayama, Masafumi Tani, Hiroyuki Narihisa
CDC
2009
IEEE
161views Control Systems» more  CDC 2009»
13 years 9 months ago
Quadratic Programming based data assimilation with passive drifting sensors for shallow water flows
We present a method for assimilating Lagrangian sensor measurement data into a Shallow Water Equation model. Using our method, the variational data assimilation problem is formulat...
Andrew Tinka, Issam S. Strub, Qingfang Wu, Alexand...