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NIPS
2003
15 years 5 months ago
Geometric Clustering Using the Information Bottleneck Method
We argue that K–means and deterministic annealing algorithms for geometric clustering can be derived from the more general Information Bottleneck approach. If we cluster the ide...
Susanne Still, William Bialek, Léon Bottou
150
Voted
STOC
1995
ACM
115views Algorithms» more  STOC 1995»
15 years 7 months ago
Geometric lower bounds for parametric matroid optimization
We relate the sequence of minimum bases of a matroid with linearly varying weights to three problems from combinatorial geometry: k-sets, lower envelopes of line segments, and con...
David Eppstein
DAGSTUHL
2008
15 years 5 months ago
Improving the Performance of a Verified Linear System Solver Using Optimized Libraries and Parallel Computation
Abstract. A parallel version of the self-verified method for solving linear systems was presented in [19, 18]. In this research we propose improvements aiming at a better performan...
Mariana Luderitz Kolberg, Gerd Bohlender, Dalcidio...
IJCAI
2007
15 years 5 months ago
Model-Based Optimization of Testing through Reduction of Stimuli
The paper presents the theoretical foundations and an algorithm to reduce the efforts of testing physical systems. A test is formally described as a set of stimuli (inputs to the ...
Peter Struss
SBBD
2004
82views Database» more  SBBD 2004»
15 years 5 months ago
Optimizing Ranking Calculation in Web Search Engines: a Case Study
Web search engines compete to offer the fastest responses with highest relevance. However, as Web collections grow, it becomes more difficult to achieve this purpose. As most user...
Miguel Costa, Mário J. Silva