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» Clustering of Software Systems Using New Hybrid Algorithms
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ICRA
1998
IEEE
128views Robotics» more  ICRA 1998»
13 years 9 months ago
Hybrid, High-Precision Localisation for the Mail Distributing Mobile Robot System MOPS
This paper describes the new localisation algorithms under implementation for the mail distributing mobile robot, MOPS, of the Institute of Robotics, Swiss Federal Institute of Te...
Kai Oliver Arras, Sjur J. Vestli
CC
2006
Springer
124views System Software» more  CC 2006»
13 years 8 months ago
Hybrid Optimizations: Which Optimization Algorithm to Use?
We introduce a new class of compiler heuristics: hybrid optimizations. Hybrid optimizations choose dynamically at compile time which optimization algorithm to apply from a set of d...
John Cavazos, J. Eliot B. Moss, Michael F. P. O'Bo...
SC
2003
ACM
13 years 10 months ago
ParADE: An OpenMP Programming Environment for SMP Cluster Systems
Demand for programming environments to exploit clusters of symmetric multiprocessors (SMPs) is increasing. In this paper, we present a new programming environment, called ParADE, ...
Yang-Suk Kee, Jin-Soo Kim, Soonhoi Ha
BMCBI
2004
208views more  BMCBI 2004»
13 years 4 months ago
Hybrid clustering for microarray image analysis combining intensity and shape features
Background: Image analysis is the first crucial step to obtain reliable results from microarray experiments. First, areas in the image belonging to single spots have to be identif...
Jörg Rahnenführer, Daniel Bozinov
SSDBM
2008
IEEE
177views Database» more  SSDBM 2008»
13 years 11 months ago
ELKI: A Software System for Evaluation of Subspace Clustering Algorithms
In order to establish consolidated standards in novel data mining areas, newly proposed algorithms need to be evaluated thoroughly. Many publications compare a new proposition – ...
Elke Achtert, Hans-Peter Kriegel, Arthur Zimek