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ICPR
2008
IEEE
15 years 11 months ago
Fast and regularized local metric for query-based operations
To learn a metric for query?based operations, we combine the concept underlying manifold learning algorithms and the minimum volume ellipsoid metric in a unified algorithm to find...
Frank P. Ferrie, Karim T. Abou-Moustafa
ICML
2007
IEEE
15 years 10 months ago
Information-theoretic metric learning
In this paper, we present an information-theoretic approach to learning a Mahalanobis distance function. We formulate the problem as that of minimizing the differential relative e...
Jason V. Davis, Brian Kulis, Prateek Jain, Suvrit ...
CORR
2007
Springer
116views Education» more  CORR 2007»
14 years 9 months ago
The Extended Edit Distance Metric
Similarity search is an important problem in information retrieval. This similarity is based on a distance. Symbolic representation of time series has attracted many researchers re...
Muhammad Marwan Muhammad Fuad, Pierre-Francois Mar...
DM
2008
161views more  DM 2008»
14 years 10 months ago
On the geodetic number and related metric sets in Cartesian product graphs
A set S of vertices of a graph G is a geodetic set if every vertex of G lies in at least one interval between the vertices of S. The size of a minimum geodetic set in G is the geo...
Bostjan Bresar, Sandi Klavzar, Aleksandra Tepeh Ho...
GRC
2010
IEEE
14 years 7 months ago
A Comparative Study of Threshold-Based Feature Selection Techniques
Given high-dimensional software measurement data, researchers and practitioners often use feature (metric) selection techniques to improve the performance of software quality clas...
Huanjing Wang, Taghi M. Khoshgoftaar, Jason Van Hu...