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» The intrinsic dimensionality of graphs
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CVPR
2004
IEEE
14 years 1 months ago
Efficient Graphical Models for Processing Images
Graphical models are powerful tools for processing images. However, the large dimensionality of even local image data poses a difficulty: representing the range of possible graphi...
Marshall F. Tappen, Bryan C. Russell, William T. F...
AFRIGRAPH
2001
ACM
14 years 1 months ago
A gesture processing framework for multimodal interaction in virtual reality
This article presents a gesture detection and analysis framework for modelling multimodal interactions. It is particulary designed for its use in Virtual Reality (VR) applications...
Marc Erich Latoschik
SCA
2007
14 years 7 days ago
Harmonic skeleton for realistic character animation
Current approaches to skeleton generation are based on topological and geometrical information only; this can be insufficient for realistic character animation, since the location...
Grégoire Aujay, Franck Hétroy, Franc...
NIPS
2008
13 years 11 months ago
Exploring Large Feature Spaces with Hierarchical Multiple Kernel Learning
For supervised and unsupervised learning, positive definite kernels allow to use large and potentially infinite dimensional feature spaces with a computational cost that only depe...
Francis Bach
LWA
2007
13 years 11 months ago
Multi-objective Frequent Termset Clustering
Large, high dimensional data spaces, are still a challenge for current data clustering methods. Frequent Termset (FTS) clustering is a technique developed to cope with these chall...
Andreas Kaspari, Michael Wurst