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» Approximation schemes for clustering problems
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AUSAI
2010
Springer
14 years 7 months ago
A Heuristic on Effective and Efficient Clustering on Uncertain Objects
We study the problem of clustering uncertain objects whose locations are uncertain and described by probability density functions. We analyze existing pruning algorithms and experi...
Edward Hung, Lei Xu, Chi-Cheong Szeto
DASFAA
2009
IEEE
136views Database» more  DASFAA 2009»
15 years 4 months ago
A Two-Tire Index Structure for Approximate String Matching with Block Moves
Many applications need to solve the problem of approximate string matching with block moves. It is an NP-Complete problem to compute block edit distance between two strings. Our go...
Bin Wang, Long Xie, Guoren Wang
NIPS
2004
14 years 11 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
2004
Springer
15 years 3 months ago
Smoothing and Adaptive Redistribution for Grids with Irregular Valence and Hanging Nodes
We describe some extensions to the grid smoothing scheme described in [1, 2] that deal with the following issues: 1) the clustering effect of changing valence in an unstructured ...
Larisa Branets, Graham F. Carey
CAGD
2005
130views more  CAGD 2005»
14 years 9 months ago
Truly selective polygonal mesh hierarchies with error control
In this work a new multi-resolution model is proposed for polygonal meshes. It is based on the dual edge collapse, which performs face clustering instead of vertex clustering. The...
Stefan Gumhold