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» Language model adaptation using Random Forests
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ICASSP
2010
IEEE
13 years 7 months ago
Learning with synthesized speech for automatic emotion recognition
Data sparseness is an ever dominating problem in automatic emotion recognition. Using artificially generated speech for training or adapting models could potentially ease this: t...
Bjoern Schuller, Felix Burkhardt
IUI
2006
ACM
14 years 1 months ago
Splitting rules for graceful degradation of user interfaces
This paper addresses the problem of the graceful degradation of user interfaces where an initial interface is transferred to a smaller platform. It presents a technique for pagina...
Murielle Florins, Francisco Montero Simarro, Jean ...
DAWAK
2006
Springer
13 years 11 months ago
A Versioning Management Model for Ontology-Based Data Warehouses
More and more integration systems use ontologies to solve the problem of semantic heterogeneities between autonomous databases. To automate the integration process, a number of the...
Dung Nguyen Xuan, Ladjel Bellatreche, Guy Pierra
JUCS
2008
143views more  JUCS 2008»
13 years 7 months ago
Defining Tasks, Domains and Conversational Acts in CSCW Systems: the SPACE-DESIGN Case Study
: Most of the current academic and professional work requires collaboration between the members of a working group. Groupware tools play a prevailing role in supporting this collab...
Rafael Duque, Jesús Gallardo, Crescencio Br...
ESANN
2006
13 years 9 months ago
Margin based Active Learning for LVQ Networks
In this article, we extend a local prototype-based learning model by active learning, which gives the learner the capability to select training samples during the model adaptation...
Frank-Michael Schleif, Barbara Hammer, Thomas Vill...