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ISCAS
2006
IEEE
133views Hardware» more  ISCAS 2006»
16 years 25 days ago
Neuronal ion-channel dynamics in silicon
Abstract— We present a simple silicon circuit for modelling voltagedependent ion channels found within neural cells, capturing both the gating particle’s sigmoidal activation (...
Kai M. Hynna, Kwabena Boahen
SIGMETRICS
2008
ACM
111views Hardware» more  SIGMETRICS 2008»
15 years 6 months ago
Hierarchical routing over dynamic wireless networks
Dynamic networks are those where the topology changes over time and therefore efficient routes need to be maintained by frequent updates. Such updates could be costly in terms of ...
Dominique Tschopp, Suhas N. Diggavi, Matthias Gros...
ICCS
2007
Springer
16 years 29 days ago
Dynamic Tracking of Facial Expressions Using Adaptive, Overlapping Subspaces
We present a Dynamic Data Driven Application System (DDDAS) to track 2D shapes across large pose variations by learning non-linear shape manifold as overlapping, piecewise linear s...
Dimitris N. Metaxas, Atul Kanaujia, Zhiguo Li
ESANN
2008
15 years 8 months ago
Learning Inverse Dynamics: a Comparison
While it is well-known that model can enhance the control performance in terms of precision or energy efficiency, the practical application has often been limited by the complexiti...
Duy Nguyen-Tuong, Jan Peters, Matthias Seeger, Ber...
ICPR
2006
IEEE
1161views computer vision» more  ICPR 2006»
16 years 8 months ago
Local Binary Pattern Descriptors for Dynamic Texture Recognition
Dynamic texture is an extension of texture to the temporal domain. In this paper, a new method for recognizing dynamic textures is proposed. The textures are modeled with concaten...
Guoying Zhao, Matti Pietikäinen