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CORR
2008
Springer
56views Education» more  CORR 2008»
13 years 10 months ago
Understanding maximal repetitions in strings
The cornerstone of any algorithm computing all repetitions in a string of length n in O(n) time is the fact that the number of runs (or maximal repetitions) is O(n). We give a simp...
Maxime Crochemore, Lucian Ilie
MIR
2005
ACM
138views Multimedia» more  MIR 2005»
14 years 3 months ago
Evaluation strategies for image understanding and retrieval
We address evaluation of image understanding and retrieval large scale image data in the context of three evaluation projects. The first project is a comprehensive strategy for e...
Keiji Yanai, Nikhil V. Shirahatti, Prasad Gabbur, ...
TACAS
2005
Springer
106views Algorithms» more  TACAS 2005»
14 years 3 months ago
Dependent Types for Program Understanding
Abstract. Weakly-typed languages such as Cobol often force programrepresent distinct data abstractions using the same low-level physical type. In this paper, we describe a techniqu...
Raghavan Komondoor, Ganesan Ramalingam, Satish Cha...
GECCO
2007
Springer
166views Optimization» more  GECCO 2007»
14 years 2 months ago
Understanding particle swarms through simplification: a study of recombinant PSO
Simplified forms of the particle swarm algorithm are very beneficial in contributing to understanding of what makes a PSO swarm function in the way that it does. One of these form...
Daniel Bratton, Tim Blackwell
IJCAI
2003
13 years 11 months ago
Automated Generation of Understandable Contingency Plans
Markov decision processes (MDPs) and contingency planning (CP) are two widely used approaches to planning under uncertainty. MDPs are attractive because the model is extremely gen...
Max Horstmann, Shlomo Zilberstein