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FUZZIEEE
2007
IEEE
15 years 9 months ago
Learning Fuzzy Linguistic Models from Low Quality Data by Genetic Algorithms
— Incremental rule base learning techniques can be used to learn models and classifiers from interval or fuzzyvalued data. These algorithms are efficient when the observation e...
Luciano Sánchez, José Otero
ICALT
2009
IEEE
15 years 7 months ago
The Language Technologies for Lifelong Learning Project
This poster presents an ongoing European project: Language Technologies for Lifelong Learning (LTfLL). The aim of the project is to create a next-generation of support and advice ...
Adriana J. Berlanga, Peter van Rosmalen, Stefan Tr...
HCI
2009
15 years 1 months ago
An Open Source Framework for Real-Time, Incremental, Static and Dynamic Hand Gesture Learning and Recognition
Real-time, static and dynamic hand gesture learning and recognition makes it possible to have computers recognize hand gestures naturally. This creates endless possibilities in the...
Todd C. Alexander, Hassan S. Ahmed, Georgios C. An...
BMVC
2002
15 years 5 months ago
Adaptive Learning of Statistical Appearance Models for 3D Human Tracking
A likelihood formulation for human tracking is presented based upon matching feature statistics on the surface of an articulated 3D body model. A benefit of such a formulation ove...
Timothy J. Roberts, Stephen J. McKenna, Ian W. Ric...
IJON
2008
101views more  IJON 2008»
15 years 3 months ago
Learning dynamics and robustness of vector quantization and neural gas
Various alternatives have been developed to improve the Winner-Takes-All (WTA) mechanism in vector quantization, including the Neural Gas (NG). However, the behavior of these algo...
Aree Witoelar, Michael Biehl, Anarta Ghosh, Barbar...