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COCOON
2010
Springer
15 years 11 months ago
Clustering with or without the Approximation
We study algorithms for clustering data that were recently proposed by Balcan, Blum and Gupta in SODA’09 [4] and that have already given rise to two follow-up papers. The input f...
Frans Schalekamp, Michael Yu, Anke van Zuylen
LATIN
1998
Springer
15 years 11 months ago
Fast Two-Dimensional Approximate Pattern Matching
We address the problem of approximate string matching in two dimensions, that is, to nd a pattern of size m m in a text of size n n with at most k errors (substitutions, insertions...
Ricardo A. Baeza-Yates, Gonzalo Navarro
CPM
2006
Springer
145views Combinatorics» more  CPM 2006»
15 years 10 months ago
Approximation of RNA Multiple Structural Alignment
Abstract. In the context of non-coding RNA (ncRNA) multiple structural alignment, Davydov and Batzoglou introduced in [7] the problem of finding the largest nested linear graph tha...
Marcin Kubica, Romeo Rizzi, Stéphane Vialet...
SIAMCOMP
2008
167views more  SIAMCOMP 2008»
15 years 6 months ago
Approximation Algorithms for Data Placement Problems
We develop approximation algorithms for the problem of placing replicated data in arbitrary networks, where the nodes may both issue requests for data objects and have capacity fo...
Ivan D. Baev, Rajmohan Rajaraman, Chaitanya Swamy
SADM
2008
178views more  SADM 2008»
15 years 6 months ago
Fast Projection-Based Methods for the Least Squares Nonnegative Matrix Approximation Problem
: Nonnegative matrix approximation (NNMA) is a popular matrix decomposition technique that has proven to be useful across a diverse variety of fields with applications ranging from...
Dongmin Kim, Suvrit Sra, Inderjit S. Dhillon