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» Fuzzy Observable Markov Models for Pattern Recognition
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ANNPR
2008
Springer
14 years 11 months ago
Supervised Incremental Learning with the Fuzzy ARTMAP Neural Network
Abstract. Automatic pattern classifiers that allow for on-line incremental learning can adapt internal class models efficiently in response to new information without retraining fr...
Jean-François Connolly, Eric Granger, Rober...
60
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BMCBI
2007
115views more  BMCBI 2007»
14 years 9 months ago
A novel, fast, HMM-with-Duration implementation - for application with a new, pattern recognition informed, nanopore detector
Background: Hidden Markov Models (HMMs) provide an excellent means for structure identification and feature extraction on stochastic sequential data. An HMM-with-Duration (HMMwD) ...
Stephen Winters-Hilt, Carl Baribault
CVPR
2003
IEEE
15 years 11 months ago
Recognising and Monitoring High-Level Behaviours in Complex Spatial Environments
The recognition of activities from sensory data is important in advanced surveillance systems to enable prediction of high-level goals and intentions of the target under surveilla...
Nam Thanh Nguyen, Hung Hai Bui, Svetha Venkatesh, ...
PR
2000
116views more  PR 2000»
14 years 9 months ago
On links between mathematical morphology and rough sets
Based on the observation that rough sets and mathematical morphology are both using dual operators sharing similar properties, we investigate more closely the links existing betwe...
Isabelle Bloch
HCI
2009
14 years 7 months ago
Agent-Based Driver Abnormality Estimation
For enhancing current driver assistance and information systems with regard to the capability to recognize an individual driver's needs, we conceive a system based on fuzzy lo...
Tony Poitschke, Florian Laquai, Gerhard Rigoll