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MLDM
2005
Springer
14 years 2 months ago
Using Clustering to Learn Distance Functions for Supervised Similarity Assessment
Assessing the similarity between objects is a prerequisite for many data mining techniques. This paper introduces a novel approach to learn distance functions that maximizes the c...
Christoph F. Eick, Alain Rouhana, Abraham Bagherje...
MASCOTS
2007
13 years 10 months ago
Distance Reduction in Mobile Wireless Communication: Lower Bound Analysis and Practical Attainment
— The transmission energy required for a wireless communication increases superlinearly with the communication distance. In a mobile wireless network, nodal movement can be explo...
Yu Dong, Wing-Kai Hon, David K. Y. Yau, Jren-Chit ...
PVLDB
2011
12 years 11 months ago
An Incremental Hausdorff Distance Calculation Algorithm
The Hausdorff distance is commonly used as a similarity measure between two point sets. Using this measure, a set X is considered similar to Y iff every point in X is close to at ...
Sarana Nutanong, Edwin H. Jacox, Hanan Samet
INFOCOM
2009
IEEE
14 years 3 months ago
Estimating Hop Distance Between Arbitrary Host Pairs
—Establishing a clear and timely picture of Internet topology is complicated by many factors including the vast size and dynamic nature of the infrastructure. In this paper, we d...
Brian Eriksson, Paul Barford, Robert D. Nowak
GMP
2006
IEEE
161views Solid Modeling» more  GMP 2006»
14 years 2 months ago
Tracking Point-Curve Critical Distances
This paper presents a novel approach to continuously and robustly tracking critical (geometrically, perpendicular and/or extremal) distances from a moving plane point p ∈ R2 to a...
Xianming Chen, Elaine Cohen, Richard F. Riesenfeld