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ICML
2010
IEEE
13 years 8 months ago
Learning Deep Boltzmann Machines using Adaptive MCMC
When modeling high-dimensional richly structured data, it is often the case that the distribution defined by the Deep Boltzmann Machine (DBM) has a rough energy landscape with man...
Ruslan Salakhutdinov
WABI
2005
Springer
124views Bioinformatics» more  WABI 2005»
14 years 17 days ago
Reconstructing Metabolic Networks Using Interval Analysis
Recently, there has been growing interest in the modelling and simulation of biological systems. Such systems are often modelled in terms of coupled ordinary differential equation...
Warwick Tucker, Vincent Moulton
PAMI
2010
324views more  PAMI 2010»
13 years 5 months ago
A Compositional and Dynamic Model for Face Aging
—In this paper we present a compositional and dynamic model for face aging. The compositional model represents faces in each age group by a hierarchical And-Or graph, in which An...
Jin-Li Suo, Song Chun Zhu, Shiguang Shan, Xilin Ch...
DATE
2010
IEEE
178views Hardware» more  DATE 2010»
14 years 6 days ago
Circuit propagation delay estimation through multivariate regression-based modeling under spatio-temporal variability
—With every process generation, the problem of variability in physical parameters and environmental conditions poses a great challenge to the design of fast and reliable circuits...
Shrikanth Ganapathy, Ramon Canal, Antonio Gonz&aac...
ICPR
2008
IEEE
14 years 1 months ago
Dynamic structure from motion based on nonlinear adaptive observers
Structure and motion estimation from long image sequences is a an important and difficult problem in computer vision. We propose a novel approach based on nonlinear and adaptive ...
Ola Dahl, Anders Heyden