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» Modular Competitiveness for Distributed Algorithms
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IFIP12
2008
13 years 8 months ago
P-Prism: A Computationally Efficient Approach to Scaling up Classification Rule Induction
Top Down Induction of Decision Trees (TDIDT) is the most commonly used method of constructing a model from a dataset in the form of classification rules to classify previously unse...
Frederic T. Stahl, Max A. Bramer, Mo Adda
PODC
1987
ACM
13 years 10 months ago
Hierarchical Correctness Proofs for Distributed Algorithms
Abstract: We introduce the input-output automaton, a simple but powerful model of computation in asynchronous distributed networks. With this model we are able to construct modular...
Nancy A. Lynch, Mark R. Tuttle
PPSN
2000
Springer
13 years 10 months ago
Competitive Segmentation: A Struggle for Image Space
In this paper, we propose a competitive image segmentation algorithm. It is a dynamic evolving optimization method, which we call the population algorithm. The method is inspired f...
Cor J. Veenman, Marcel J. T. Reinders, Eric Backer
ARCS
2006
Springer
13 years 10 months ago
Distributed Modular Toolbox for Multi-modal Context Recognition
Abstract. We present a GUI-based C++ toolbox that allows for building distributed, multi-modal context recognition systems by plugging together reusable, parameterizable components...
David Bannach, Kai S. Kunze, Paul Lukowicz, Oliver...
ICA3PP
2010
Springer
13 years 11 months ago
Modular Resultant Algorithm for Graphics Processors
Abstract. In this paper we report on the recent progress in computing bivariate polynomial resultants on Graphics Processing Units (GPU). Given two polynomials in Z[x, y], our algo...
Pavel Emeliyanenko