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SBCCI
2003
ACM
129views VLSI» more  SBCCI 2003»
15 years 7 months ago
Hyperspectral Images Clustering on Reconfigurable Hardware Using the K-Means Algorithm
Unsupervised clustering is a powerful technique for understanding multispectral and hyperspectral images, being k-means one of the most used iterative approaches. It is a simple th...
Abel Guilhermino S. Filho, Alejandro César ...
AAAI
1990
15 years 3 months ago
The Intelligent Database Interface: Integrating AI and Database Systems
The Intelligent Database Interface (IDI) is a cache-based interface that is designed to provide Artificial Intelligence systems with efficient access to one or more databases on o...
Donald P. McKay, Timothy W. Finin, Anthony B. O'Ha...
141
Voted
ICARCV
2002
IEEE
185views Robotics» more  ICARCV 2002»
15 years 6 months ago
Evolving cooperative robotic behaviour using distributed genetic programming
Cooperative robotic systems provide design and implementation challenges that are not easy to solve. This paper describes a parallel implementation for evolving cooperative roboti...
Chris H. Messom, Matthew G. Walker
MM
2009
ACM
125views Multimedia» more  MM 2009»
15 years 8 months ago
Unfolding speaker clustering potential: a biomimetic approach
Speaker clustering is the task of grouping a set of speech utterances into speaker-specific classes. The basic techniques for solving this task are similar to those used for spea...
Thilo Stadelmann, Bernd Freisleben
IEEEVAST
2010
14 years 8 months ago
Finding and visualizing relevant subspaces for clustering high-dimensional astronomical data using connected morphological opera
Data sets in astronomy are growing to enormous sizes. Modern astronomical surveys provide not only image data but also catalogues of millions of objects (stars, galaxies), each ob...
Bilkis J. Ferdosi, Hugo Buddelmeijer, Scott Trager...