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ESANN
2006
13 years 9 months ago
Data topology visualization for the Self-Organizing Map
The Self-Organizing map (SOM), a powerful method for data mining and cluster extraction, is very useful for processing data of high dimensionality and complexity. Visualization met...
Kadim Tasdemir, Erzsébet Merényi
SPIESR
2001
174views Database» more  SPIESR 2001»
13 years 9 months ago
Mapping low-level image features to semantic concepts
Humans tend to use high-level semantic concepts when querying and browsing multimedia databases; there is thus, a need for systems that extract these concepts and make available a...
Daniela Stan, Ishwar K. Sethi
WSC
1997
13 years 9 months ago
Success Stories in Simulation in Health Care
Healthcare is a rapidly changing industry, and facilities are struggling to find tools to enhance their ability to keep up with the change. Healthcare staff have generally adapted...
Catherine Drury Barnes, Joaquin L. Quiason, Carson...
ATAL
2010
Springer
13 years 9 months ago
Frequency adjusted multi-agent Q-learning
Multi-agent learning is a crucial method to control or find solutions for systems, in which more than one entity needs to be adaptive. In today's interconnected world, such s...
Michael Kaisers, Karl Tuyls
MM
2010
ACM
238views Multimedia» more  MM 2010»
13 years 8 months ago
Supervised manifold learning for image and video classification
This paper presents a supervised manifold learning model for dimensionality reduction in image and video classification tasks. Unlike most manifold learning models that emphasize ...
Yang Liu, Yan Liu, Keith C. C. Chan