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» Learning Nonlinear Dynamical Systems Using an EM Algorithm
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PREMI
2005
Springer
15 years 3 months ago
Hybrid Hierarchical Learning from Dynamic Scenes
The work proposes a hierarchical architecture for learning amic scenes at various levels of knowledge abstraction. The raw visual information is processed at different stages to g...
Prithwijit Guha, Pradeep Vaghela, Pabitra Mitra, K...
JMLR
2010
100views more  JMLR 2010»
14 years 4 months ago
Parametric Herding
A parametric version of herding is formulated. The nonlinear mapping between consecutive time slices is learned by a form of self-supervised training. The resulting dynamical syst...
Yutian Chen, Max Welling
ICASSP
2010
IEEE
14 years 10 months ago
Automatic state discovery for unstructured audio scene classification
In this paper we present a novel scheme for unstructured audio scene classification that possesses three highly desirable and powerful features: autonomy, scalability, and robust...
Julian Ramos, Sajid M. Siddiqi, Artur Dubrawski, G...
CSB
2005
IEEE
163views Bioinformatics» more  CSB 2005»
15 years 3 months ago
A symbolic approach to the simulation of biochemical models: application to circadian rhythms
Symbolic rewriting systems are gaining interest as tools for simulating biochemical dynamics. Compared to traditional methods based on differential equations, the symbolic approac...
Federico Fontana, Luca Bianco, Vincenzo Manca
NCA
2007
IEEE
15 years 4 months ago
Implementing Atomic Data through Indirect Learning in Dynamic Networks
Developing middleware services for dynamic distributed systems, e.g., ad-hoc networks, is a challenging task given that such services deal with dynamically changing membership and...
Kishori M. Konwar, Peter M. Musial, Nicolas C. Nic...