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» Learning for Dynamic Subsumption
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166
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IJCNN
2006
IEEE
16 years 22 days ago
Studies on the Memory Capacity and Robustness of Chaotic Dynamic Neural Networks
- A dynamical neural model that is strongly biologically motivated is applied to learning and retrieving binary patterns. This neural network, known as Freeman’s Ksets, is traine...
Igor Beliaev, Robert Kozma
145
Voted
ICIP
2005
IEEE
16 years 9 days ago
Recognition of human activities using space dependent switched dynamical models
This paper describes a new algorithm for the recognition of human activities. These activities are modelled using banks of switched dynamical models, each of which is tailored to ...
Jacinto C. Nascimento, Mário A. T. Figueire...
NIPS
2007
15 years 8 months ago
Receding Horizon Differential Dynamic Programming
The control of high-dimensional, continuous, non-linear dynamical systems is a key problem in reinforcement learning and control. Local, trajectory-based methods, using techniques...
Yuval Tassa, Tom Erez, William D. Smart
SMARTNET
2000
15 years 8 months ago
Towards Dynamic Composition of Hybrid Communication Services
: Due to the deregulation of the telecom network and the Internet, users will have access to an increasing number of heterogeneous communication services and will need to adapt the...
Jacqueline Floch, Rolv Bræk
183
Voted
CVPR
2010
IEEE
16 years 2 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