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MMAS
2010
Springer
15 years 1 months ago
Clustering and Classification through Normalizing Flows in Feature Space
A unified variational methodology is developed for classification and clustering problems, and tested in the classification of tumors from gene expression data. It is based on flu...
J. P. Agnelli, M. Cadeiras, E. G. Tabak, C. V. Tur...
NCA
2006
IEEE
15 years 6 months ago
Neural network modelling of word production in Finnish: coding semantic and non-semantic features
: The objective of our research is to computationally model word production and its disorders by means of artificial neural networks. In the current study we develop and analyze an...
Antti Järvelin, Martti Juhola, Matti Laine
ICASSP
2011
IEEE
14 years 10 months ago
Using latent topic features to improve binary classification of spoken documents
In many topic identification applications, supervised training labels are indirectly related to the semantic content of the documents being classified. For example, many topical...
Jonathan Wintrode
ICAS
2009
IEEE
141views Robotics» more  ICAS 2009»
16 years 1 months ago
An Enhanced IMS Architecture Featuring Cross-Layer Monitoring and Adaptation Mechanisms
IP Multimedia Subsystem (IMS) entails novel business opportunities for pioneering and emerging multimedia services, such as IPTV and VoIP video call applications. However, this st...
Lemonia Boula, Harilaos Koumaras, Anastasios Kourt...
SOCO
2007
Springer
16 years 18 days ago
Streamlining Feature-Oriented Designs
Abstract. Software development for embedded systems gains momentum but faces many challenges. Especially the constraints of deeply embedded systems, i.e., extreme resource and perf...
Martin Kuhlemann, Sven Apel, Thomas Leich