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SCHOLARPEDIA
2008
89views more  SCHOLARPEDIA 2008»
15 years 2 months ago
Support vector clustering
We present a novel method for clustering using the support vector machine approach. Data points are mapped to a high dimensional feature space, where support vectors are used to d...
Asa Ben-Hur
TMM
2011
177views more  TMM 2011»
14 years 10 months ago
MIMiC: Multimodal Interactive Motion Controller
Abstract—We introduce a new algorithm for real-time interactive motion control and demonstrate its application to motion captured data, pre-recorded videos and HCI. Firstly, a da...
Dumebi Okwechime, Eng-Jon Ong, Richard Bowden
TMI
2010
150views more  TMI 2010»
14 years 10 months ago
Automatic Parameter Selection for Multimodal Image Registration
Over the past ten years similarity measures based on intensity distributions have become state-of-the-art in automatic multimodal image registration. An implementation for clinical...
Dieter A. Hahn, Volker Daum, Joachim Hornegger
DAGM
2010
Springer
15 years 5 months ago
Gaussian Mixture Modeling with Gaussian Process Latent Variable Models
Density modeling is notoriously difficult for high dimensional data. One approach to the problem is to search for a lower dimensional manifold which captures the main characteristi...
Hannes Nickisch, Carl Edward Rasmussen
CLUSTER
2004
IEEE
15 years 7 months ago
A comparison of local and gang scheduling on a Beowulf cluster
Gang Scheduling and related techniques are widely believed to be necessary for efficientjob scheduling on distributed memory parallel computers. This is hecause they minimize cont...
Peter E. Strazdins, John Uhlmann