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» Dynamic Factor Graphs for Time Series Modeling
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NN
1997
Springer
174views Neural Networks» more  NN 1997»
15 years 5 months ago
Learning Dynamic Bayesian Networks
Bayesian networks are directed acyclic graphs that represent dependencies between variables in a probabilistic model. Many time series models, including the hidden Markov models (H...
Zoubin Ghahramani
TCSV
2002
134views more  TCSV 2002»
15 years 1 months ago
Factor graph framework for semantic video indexing
Video query by semantic keywords is one of the most challenging research issues in video data management. To go beyond low-level similarity and access video data content by semanti...
Milind R. Naphade, Igor Kozintsev, Thomas S. Huang
IJON
2007
91views more  IJON 2007»
15 years 1 months ago
Dynamics of parameters of neurophysiological models from phenomenological EEG modeling
We investigate a recently proposed method for the analysis of oscillatory patterns in EEG data, with respect to its capacity of further quantifying processes on slower (< 1 Hz)...
E. Olbrich, Thomas Wennekers
ICASSP
2008
IEEE
15 years 7 months ago
Referential semantic language modeling for data-poor domains
This paper describes a referential semantic language model that achieves accurate recognition in user-defined domains with no available domain-specific training corpora. This mo...
Stephen Wu, Lane Schwartz, William Schuler
WG
2009
Springer
15 years 8 months ago
Fully Dynamic Representations of Interval Graphs
We present a fully dynamic algorithm that maintains three different representations of an interval graph: a minimal interval model of the graph, the PQ-tree of its maximal cliques...
Christophe Crespelle