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» Synthesizing Dynamic Texture with Closed-Loop Linear Dynamic...
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NIPS
2007
13 years 10 months ago
A Constraint Generation Approach to Learning Stable Linear Dynamical Systems
Stability is a desirable characteristic for linear dynamical systems, but it is often ignored by algorithms that learn these systems from data. We propose a novel method for learn...
Sajid M. Siddiqi, Byron Boots, Geoffrey J. Gordon
ICCV
2009
IEEE
15 years 1 months ago
Time Series Prediction by Chaotic Modeling of Nonlinear Dynamical Systems
We use concepts from chaos theory in order to model nonlinear dynamical systems that exhibit deterministic behavior. Observed time series from such a system can be embedded into...
Arslan Basharat, Mubarak Shah
CVPR
2010
IEEE
14 years 5 months ago
Clustering Dynamic Textures with the Hierarchical EM Algorithm
The dynamic texture (DT) is a probabilistic generative model, defined over space and time, that represents a video as the output of a linear dynamical system (LDS). The DT model ...
Antoni Chan, Emanuele Coviello, Gert Lanckriet
DAC
2007
ACM
14 years 10 months ago
Synthesizing Stochasticity in Biochemical Systems
Randomness is inherent to biochemistry: at each instant, the sequence of reactions that fires is a matter of chance. Some biological systems exploit such randomness, choosing betw...
Brian Fett, Jehoshua Bruck, Marc D. Riedel
ICCV
2007
IEEE
14 years 11 months ago
Phase Based Modelling of Dynamic Textures
This paper presents a model of spatiotemporal variations in a dynamic texture (DT) sequence. Most recent work on DT modelling represents images in a DT sequence as the responses o...
Bernard Ghanem, Narendra Ahuja