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ICANN
2010
Springer
15 years 5 months ago
Empirical Analysis of the Divergence of Gibbs Sampling Based Learning Algorithms for Restricted Boltzmann Machines
Abstract. Learning algorithms relying on Gibbs sampling based stochastic approximations of the log-likelihood gradient have become a common way to train Restricted Boltzmann Machin...
Asja Fischer, Christian Igel
ADCM
2008
112views more  ADCM 2008»
15 years 4 months ago
Frames in spaces with finite rate of innovation
Abstract. Signals with finite rate of innovation are those signals having finite degrees of freedom per unit of time that specify them. In this paper, we introduce a prototypical s...
Qiyu Sun
CORR
2010
Springer
104views Education» more  CORR 2010»
15 years 4 months ago
Distributed Successive Approximation Coding using Broadcast Advantage: The Two-Encoder Case
Abstract-- Traditional distributed source coding rarely considers the possible link between separate encoders. However, the broadcast nature of wireless communication in sensor net...
Zichong Chen, Guillermo Barrenetxea, Martin Vetter...
EJC
2008
15 years 4 months ago
Locally constrained graph homomorphisms and equitable partitions
We explore the connection between locally constrained graph homomorphisms and degree matrices arising from an equitable partition of a graph. We provide several equivalent charact...
Jirí Fiala, Daniël Paulusma, Jan Arne ...
FUIN
2008
123views more  FUIN 2008»
15 years 4 months ago
Interface Automata with Complex Actions: Limiting Interleaving in Interface Automata
Abstract. Many formalisms use interleaving to model concurrency. To describe some system behaviours appropriately, we need to limit interleaving. For example, in a component-based ...
Shahram Esmaeilsabzali, Nancy A. Day, Farhad Mavad...