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PR
2006
76views more  PR 2006»
13 years 7 months ago
Extending the relevant component analysis algorithm for metric learning using both positive and negative equivalence constraints
Relevant component analysis (RCA) is a recently proposed metric learning method for semi-supervised learning applications. It is a simple and efficient method that has been applie...
Dit-Yan Yeung, Hong Chang
GECCO
2008
Springer
117views Optimization» more  GECCO 2008»
13 years 8 months ago
Is "best-so-far" a good algorithmic performance metric?
In evolutionary computation, experimental results are commonly analyzed using an algorithmic performance metric called best-so-far. While best-so-far can be a useful metric, its u...
Nathaniel P. Troutman, Brent E. Eskridge, Dean F. ...
AAAI
2006
13 years 9 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
NIPS
2004
13 years 9 months ago
Triangle Fixing Algorithms for the Metric Nearness Problem
Various problems in machine learning, databases, and statistics involve pairwise distances among a set of objects. It is often desirable for these distances to satisfy the propert...
Inderjit S. Dhillon, Suvrit Sra, Joel A. Tropp
IMR
2003
Springer
14 years 21 days ago
A Local Cell Quality Metric and Variational Grid Smoothing Algorithm
A local cell quality metric is introduced and used to construct a variational functional for a grid smoothing algorithm. A maximum principle is proved and the properties of the loc...
Larisa Branets, Graham F. Carey