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195
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AMC
2008
99views more  AMC 2008»
15 years 7 months ago
Markov chain network training and conservation law approximations: Linking microscopic and macroscopic models for evolution
In this paper, a general framework for the analysis of a connection between the training of artificial neural networks via the dynamics of Markov chains and the approximation of c...
Roderick V. N. Melnik
169
Voted
AUTOMATICA
2004
84views more  AUTOMATICA 2004»
15 years 7 months ago
Nonlinear interval model control of quasi-keyhole arc welding process
This paper addresses the development of a nonlinear model based interval model control system for the quasi-keyhole arc welding process, a novel arc welding process which has adva...
W. Lu, Y. M. Zhang, W.-Y. Lin
CVPR
2005
IEEE
16 years 9 months ago
A Caratheodory-Fejer Approach to Dynamic Appearance Modeling
This paper presents a technique to learn dynamic appearance models from a small number of training frames. Under this framework, dynamic appearance is modelled as an unknown opera...
Hwasup Lim, Octavia I. Camps, Mario Sznaier
203
Voted
ICML
2005
IEEE
16 years 8 months ago
New d-separation identification results for learning continuous latent variable models
Learning the structure of graphical models is an important task, but one of considerable difficulty when latent variables are involved. Because conditional independences using hid...
Ricardo Silva, Richard Scheines
167
Voted
ICRA
2003
IEEE
98views Robotics» more  ICRA 2003»
16 years 21 days ago
Towards a Factored Analysis of Legged Locomotion Models
In this paper, we report on a new stability analysis for hybrid legged locomotion systems based on factorization of return maps. We apply this analysis to a family of models of th...
Richard Altendorfer, Daniel E. Koditschek, Philip ...