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» Identifying Objects Using Cluster and Concept Analysis
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ICTAI
2005
IEEE
15 years 4 months ago
Cellular Ants: Combining Ant-Based Clustering with Cellular Automata
This paper proposes a novel data clustering algorithm, coined ‘cellular ants’, which combines principles of cellular automata and ant colony optimization algorithms to group s...
Andrew Vande Moere, Justin James Clayden
IPPS
2002
IEEE
15 years 4 months ago
A Comparative Study of Parallel and Distributed Java Projects for Heterogeneous Systems
During the last few years, the concepts of cluster computing and heterogeneous networked systems have received increasing interest. The popularity of using Java for developing par...
Jameela Al-Jaroodi, Nader Mohamed, Hong Jiang, Dav...
BMCBI
2004
208views more  BMCBI 2004»
14 years 11 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
ICRA
2009
IEEE
157views Robotics» more  ICRA 2009»
15 years 5 months ago
From pixels to objects: Enabling a spatial model for humanoid social robots
— This work adds the concept of object to an existent low-level attention system of the humanoid robot iCub. The objects are defined as clusters of SIFT visual features. When th...
Dario Figueira, Manuel Lopes, Rodrigo M. M. Ventur...
CSMR
2005
IEEE
15 years 4 months ago
Clustering Data Retrieved from Java Source Code to Support Software Maintenance: A Case Study
Data mining is a technology recently used in support of software maintenance in various contexts. Our works focuses on achieving a high level understanding of Java systems without...
Dimitris Rousidis, Christos Tjortjis