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ICASSP
2010
IEEE
15 years 6 months ago
Hierarchical Gaussian Mixture Model
Gaussian mixture models (GMMs) are a convenient and essential tool for the estimation of probability density functions. Although GMMs are used in many research domains from image ...
Vincent Garcia, Frank Nielsen, Richard Nock
155
Voted
CI
2010
129views more  CI 2010»
15 years 6 months ago
On-Line Case-Based Planning
Some domains, such as real-time strategy (RTS) games, pose several challenges to traditional planning and machine learning techniques. In this paper, we present a novel on-line ca...
Santi Ontañón, Kinshuk Mishra, Neha ...
AEI
2006
253views more  AEI 2006»
15 years 6 months ago
Computer based pedestrian landscape design using decision tree templates
Machine Learning algorithms can act as a valuable analytical tool in design research. In this paper, we demonstrate the application of a decision tree learning algorithm for desig...
Baranidharan Raman, Jody R. Naderi
CORR
2006
Springer
151views Education» more  CORR 2006»
15 years 5 months ago
Graph Laplacians and their convergence on random neighborhood graphs
Given a sample from a probability measure with support on a submanifold in Euclidean space one can construct a neighborhood graph which can be seen as an approximation of the subm...
Matthias Hein, Jean-Yves Audibert, Ulrike von Luxb...
CANDC
2004
ACM
15 years 5 months ago
Retrieving definitional content for ontology development
Ontology construction requires an understanding of the meaning and usage of its encoded concepts. While definitions found in dictionaries or glossaries may be adequate for many co...
Lawrence H. Smith, W. John Wilbur