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» Complexity of Inference in Graphical Models
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ICML
2005
IEEE
14 years 11 months ago
Core Vector Regression for very large regression problems
In this paper, we extend the recently proposed Core Vector Machine algorithm to the regression setting by generalizing the underlying minimum enclosing ball problem. The resultant...
Ivor W. Tsang, James T. Kwok, Kimo T. Lai
SIGGRAPH
1993
ACM
14 years 2 months ago
Hierarchical Z-buffer visibility
An ideal visibility algorithm should a) quickly reject most of the hidden geometry in a model and b) exploit the spatial and perhaps temporal coherence of the images being generat...
Ned Greene, Michael Kass, Gavin S. P. Miller
CVGIP
2007
88views more  CVGIP 2007»
13 years 10 months ago
Autonomous pedestrians
We address the difficult open problem of emulating the rich complexity of real pedestrians in urban environments. Our artificial life approach integrates motor, perceptual, beha...
Wei Shao, Demetri Terzopoulos
ML
2012
ACM
413views Machine Learning» more  ML 2012»
12 years 5 months ago
Gradient-based boosting for statistical relational learning: The relational dependency network case
Dependency networks approximate a joint probability distribution over multiple random variables as a product of conditional distributions. Relational Dependency Networks (RDNs) are...
Sriraam Natarajan, Tushar Khot, Kristian Kersting,...
DCC
2001
IEEE
14 years 9 months ago
Compression of the Layered Depth Image
A layered depth image (LDI) is a new popular representation and rendering method for objects with complex geometries. Similar to a 2D image, the LDI consists of an array of pixels...
Jiangang Duan, Jin Li