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NIPS
2008
15 years 8 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
223
Voted
ICASSP
2010
IEEE
15 years 7 months ago
Shape matching based on graph alignment using hidden Markov models
We present a novel framework based on hidden Markov models (HMMs) for matching feature point sets, which capture the shapes of object contours of interest. Point matching algorith...
Xiaoning Qian, Byung-Jun Yoon
GRID
2006
Springer
15 years 7 months ago
Workflow Global Computing with YML
In this paper we propose a framework dedicated to the development and the execution of parallel applications over large scale global computing platforms. A workflow programming env...
Olivier Delannoy, Nahid Emad, Serge G. Petiton
CVGIP
2007
108views more  CVGIP 2007»
15 years 7 months ago
Physically based rigging for deformable characters
In this paper we introduce a framework for instrumenting (“rigging”) characters that are modeled as dynamic elastic bodies, so that their shapes can be controlled by an animat...
Steve Capell, Matthew Burkhart, Brian Curless, Tom...
JSAC
2006
70views more  JSAC 2006»
15 years 7 months ago
Throughput-range tradeoff of wireless mesh backhaul networks
Wireless backhaul communication is expected to play a significant role in providing the necessary backhaul resources for future high-rate wireless networks. Mesh networking, in whi...
H. Viswanathan, S. Mukherjee