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ICML
2007
IEEE
16 years 7 months ago
Linear and nonlinear generative probabilistic class models for shape contours
We introduce a robust probabilistic approach to modeling shape contours based on a lowdimensional, nonlinear latent variable model. In contrast to existing techniques that use obj...
Graham McNeill, Sethu Vijayakumar
ASPDAC
2007
ACM
146views Hardware» more  ASPDAC 2007»
15 years 10 months ago
Practical Implementation of Stochastic Parameterized Model Order Reduction via Hermite Polynomial Chaos
Abstract-- This paper describes the stochastic model order reduction algorithm via stochastic Hermite Polynomials from the practical implementation perspective. Comparing with exis...
Yi Zou, Yici Cai, Qiang Zhou, Xianlong Hong, Sheld...
ICA
2007
Springer
15 years 10 months ago
Conjugate Gamma Markov Random Fields for Modelling Nonstationary Sources
In modelling nonstationary sources, one possible strategy is to define a latent process of strictly positive variables to model variations in second order statistics of the underly...
Ali Taylan Cemgil, Onur Dikmen
CLOR
2006
15 years 10 months ago
Sequential Learning of Layered Models from Video
Abstract. A popular framework for the interpretation of image sequences is the layers or sprite model, see e.g. [1], [2]. Jojic and Frey [3] provide a generative probabilistic mode...
Michalis K. Titsias, Christopher K. I. Williams
MVA
2006
120views Computer Vision» more  MVA 2006»
15 years 6 months ago
A model of diatom shape and texture for analysis, synthesis and identification
We describe tools for automatic identification and classification of diatoms that compare photographs with other photographs and drawings, via a model. Identification of diatoms, i...
Yulia Hicks, A. David Marshall, Paul L. Rosin, Ral...