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CVPR
2007
IEEE
14 years 3 months ago
Learning Generative Models via Discriminative Approaches
Generative model learning is one of the key problems in machine learning and computer vision. Currently the use of generative models is limited due to the difficulty in effective...
Zhuowen Tu
CLADE
2008
IEEE
14 years 3 months ago
SWARM: a scientific workflow for supporting bayesian approaches to improve metabolic models
With the exponential growth of complete genome sequences, the analysis of these sequences is becoming a powerful approach to build genome-scale metabolic models. These models can ...
Xinghua Shi, Rick Stevens
PAMI
2010
238views more  PAMI 2010»
13 years 7 months ago
Tracking Motion, Deformation, and Texture Using Conditionally Gaussian Processes
—We present a generative model and inference algorithm for 3D nonrigid object tracking. The model, which we call G-flow, enables the joint inference of 3D position, orientation, ...
Tim K. Marks, John R. Hershey, Javier R. Movellan
BMVC
2002
13 years 11 months ago
Practical Generation of Video Textures using the Auto-Regressive Process
Recently, there have been several attempts at creating `video textures', that is, synthesising new (potentially infinitely long) video clips based on existing ones. One way t...
Neill W. Campbell, Colin J. Dalton, David P. Gibso...
CAD
2006
Springer
13 years 8 months ago
A unified subdivision approach for multi-dimensional non-manifold modeling
This paper presents a new unified subdivision scheme that is defined over a k-simplicial complex in n-D space with k 3. We first present a series of definitions to facilitate top...
Yu-Sung Chang, Hong Qin