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» EM in High Dimensional Spaces
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82
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PR
2007
100views more  PR 2007»
14 years 12 months ago
Linear manifold clustering in high dimensional spaces by stochastic search
Classical clustering algorithms are based on the concept that a cluster center is a single point. Clusters which are not compact around a single point are not candidates for class...
Robert M. Haralick, Rave Harpaz
SIBGRAPI
2005
IEEE
15 years 6 months ago
True Factor Analysis in Medical Imaging: Dealing with High-Dimensional Spaces
This article presents a new method for discovering hidden patterns in high-dimensional dataset resulting from image registration. It is based on true factor analysis, a statistica...
Alexei Manso Correa Machado
91
Voted
CSE
2009
IEEE
15 years 7 months ago
Visually and Acoustically Exploring the High-Dimensional Space of Music
Abstract—The permanent growth of personal music collections caused by the ongoing digital revolution asks for novel ways of organization. Traditional list based approaches are—...
Lukas Bossard, Michael Kuhn 0002, Roger Wattenhofe...
DAGSTUHL
2003
15 years 1 months ago
Preset based interaction with high dimensional parameter spaces
Many systems require the setting of a large number of parameters. This is often a difficult and time consuming task, especially for novice users. A framework is presented to simp...
Jarke J. van Wijk, Cornelius W. A. M. van Overveld
159
Voted
ICDE
2000
IEEE
87views Database» more  ICDE 2000»
16 years 1 months ago
Independent Quantization: An Index Compression Technique for High-Dimensional Data Spaces
Stefan Berchtold, Christian Böhm, H. V. Jagad...