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SIGGRAPH
2010
ACM
13 years 8 months ago
A connection between partial symmetry and inverse procedural modeling
In this paper, we address the problem of inverse procedural modeling: Given a piece of exemplar 3D geometry, we would like to find a set of rules that describe objects that are s...
Martin Bokeloh, Michael Wand, Hans-Peter Seidel
PRDC
2006
IEEE
13 years 9 months ago
Detecting and Exploiting Symmetry in Discrete-state Markov Models
Dependable systems are usually designed with multiple instances of components or logical processes, and often possess symmetries that may be exploited in model-based evaluation. T...
W. Douglas Obal II, Michael G. McQuinn, William H....
CGF
2011
12 years 7 months ago
Procedural Modeling of Interconnected Structures
The complexity and detail of geometric scenes that are used in today’s computer animated films and interactive games have reached a level where the manual creation by tradition...
Lars Krecklau, Leif Kobbelt
NIPS
1997
13 years 5 months ago
Learning Generative Models with the Up-Propagation Algorithm
Up-propagation is an algorithm for inverting and learning neural network generative models. Sensory input is processed by inverting a model that generates patterns from hidden var...
Jong-Hoon Oh, H. Sebastian Seung
ISBI
2006
IEEE
14 years 4 months ago
Linearly constrained MEG beamformers for MVAR modeling of cortical interactions
Among the many methods for modeling cortical interactions using EEG and MEG data, Multivariate Autoregressive(MVAR) functional connectivity measures have the advantage of providin...
Hua Brian Hui, Richard M. Leahy