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» The intrinsic dimensionality of graphs
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CVPR
2004
IEEE
15 years 3 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
15 years 3 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
15 years 2 months 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
15 years 1 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
15 years 1 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