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AAAI
2006
9 years 1 months ago
An Efficient Algorithm for Local Distance Metric Learning
Learning application-specific distance metrics from labeled data is critical for both statistical classification and information retrieval. Most of the earlier work in this area h...
Liu Yang, Rong Jin, Rahul Sukthankar, Yi Liu
ISAAC
2000
Springer
110views Algorithms» more  ISAAC 2000»
9 years 3 months ago
Online Routing in Convex Subdivisions
We consider online routing algorithms for finding paths between the vertices of plane graphs. We show (1) there exists a routing algorithm for arbitrary triangulations that has no...
Prosenjit Bose, Pat Morin, Andrej Brodnik, Svante ...
CEC
2007
IEEE
9 years 4 months ago
Self-Adaptive Niching CMA-ES with Mahalanobis Metric
Existing niching techniques commonly use the Euclidean distance metric in the decision space for the classification of feasible solutions to the niches under formation. This approa...
Ofer M. Shir, Michael Emmerich, Thomas Bäck
FSTTCS
1993
Springer
9 years 4 months ago
Compact Location Problems
We investigate the complexity and approximability of some location problems when two distance values are specified for each pair of potential sites. These problems involve the se...
Venkatesh Radhakrishnan, Sven Oliver Krumke, Madha...
PPSN
1998
Springer
9 years 4 months ago
Integrated Facility Design Using an Evolutionary Approach with a Subordinate Network Algorithm
The facility design problem is a common one in manufacturing and service industries and has been studied extensively in the literature. However, restrictions on the scope of the de...
Bryan A. Norman, Alice E. Smith, Rifat Aykut Arapo...
ICANN
2005
Springer
9 years 5 months ago
An Analytic Distance Metric for Gaussian Mixture Models with Application in Image Retrieval
Abstract. In this paper we propose a new distance metric for probability density functions (PDF). The main advantage of this metric is that unlike the popular Kullback-Liebler (KL)...
Giorgos Sfikas, Constantinos Constantinopoulos, Ar...
ICMCS
2006
IEEE
145views Multimedia» more  ICMCS 2006»
9 years 6 months ago
A New Study on Distance Metrics as Similarity Measurement
Distance metric is widely used in similarity estimation. In this paper we find that the most popular Euclidean and Manhattan distance may not be suitable for all data distribution...
Jie Yu, Jaume Amores, Nicu Sebe, Qi Tian
AUSAI
2009
Springer
9 years 6 months ago
A Distance Metric for Evolutionary Many-Objective Optimization Algorithms Using User-Preferences
In this paper we propose to use a distance metric based on user-preferences to efficiently find solutions for many-objective problems. In a user-preference based algorithm a decis...
Upali K. Wickramasinghe, Xiaodong Li
ICASSP
2009
IEEE
9 years 6 months ago
Fingerprint matching based on distance metric learning
This paper considers a method for learning a distance metric in a fingerprinting system which identifies a query content by measuring the distance between the fingerprint of th...
Dalwon Jang, Chang D. Yoo
ICPR
2010
IEEE
9 years 7 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
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