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» Extraction of Components with Structured Variance
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ERCIMDL
2008
Springer
101views Education» more  ERCIMDL 2008»
14 years 11 months ago
Semantic Interoperability in Archaeological Datasets: Data Mapping and Extraction Via the CIDOC CRM
Findings from a data mapping and extraction exercise undertaken as part of the STAR project are described and related to recent work in the area. The exercise was undertaken in con...
Ceri Binding, Keith May, Douglas Tudhope
ICMLA
2010
14 years 7 months ago
Nonlinear Dynamical Multi-Scale Model of Associative Memory
How can we get such reliable behavior from the mind when the brain is made up of such unreliable elements as neurons? We propose that the answer is related to the emergence of stab...
Alexander M. Duda, Stephen E. Levinson
ISCAS
2006
IEEE
162views Hardware» more  ISCAS 2006»
15 years 3 months ago
Silicon neurons that phase-lock
Abstract—We present a silicon neuron with a dynamic, active leak that enables precise spike-timing with respect to a time-varying input signal. Our neuron models the mammalian bu...
J. H. Wittig Jr., Kwabena Boahen
AIIA
2007
Springer
15 years 3 months ago
Structured Hidden Markov Model: A General Framework for Modeling Complex Sequences
Structured Hidden Markov Model (S-HMM) is a variant of Hierarchical Hidden Markov Model that shows interesting capabilities of extracting knowledge from symbolic sequences. In fact...
Ugo Galassi, Attilio Giordana, Lorenza Saitta
NN
2000
Springer
177views Neural Networks» more  NN 2000»
14 years 9 months ago
Independent component analysis: algorithms and applications
A fundamental problem in neural network research, as well as in many other disciplines, is finding a suitable representation of multivariate data, i.e. random vectors. For reasons...
Aapo Hyvärinen, Erkki Oja