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FLAIRS
2008
15 years 7 months ago
Learning Dynamic Naive Bayesian Classifiers
Hidden Markov models are a powerful technique to model and classify temporal sequences, such as in speech and gesture recognition. However, defining these models is still an art: ...
Miriam Martínez, Luis Enrique Sucar
RIA
2006
56views more  RIA 2006»
15 years 4 months ago
Le paradigme MAUI pour des agents multimodaux d'interface homme-machine socialement intelligents
In this article, we expose our research program in bio-affective-social computing aimed at guiding and participating to the development of multimodal socially intelligent agents in...
Christine L. Lisetti
INTERSPEECH
2010
14 years 11 months ago
Feature versus model based noise robustness
Over the years, the focus in noise robust speech recognition has shifted from noise robust features to model based techniques such as parallel model combination and uncertainty de...
Kris Demuynck, Xueru Zhang, Dirk Van Compernolle, ...
ICDAR
2011
IEEE
14 years 4 months ago
A Digital Ink Recogntion Server for Handwritten Japanese Text
— This paper describes the design and implementation of a digital ink recognition server for handwritten Japanese text. Currently, fast and accurate recognition of online handwri...
Daqing Wang, Bilan Zhu, Masaki Nakagawa
ICDAR
2007
IEEE
15 years 11 months ago
K-Nearest Oracle for Dynamic Ensemble Selection
For handwritten pattern recognition, multiple classifier system has been shown to be useful in improving recognition rates. One of the most important issues to optimize a multipl...
Albert Hung-Ren Ko, Robert Sabourin, Alceu de Souz...