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PRL
1998
93views more  PRL 1998»
13 years 5 months ago
A connectionist method for pattern classification with diverse features
A novel connectionist method is proposed to simultaneously use diverse features in an optimal way for pattern classification. Unlike methods of combining multiple classifiers, a m...
Ke Chen 0001
TNN
2008
119views more  TNN 2008»
13 years 5 months ago
Selecting Useful Groups of Features in a Connectionist Framework
Abstract--Suppose for a given classification or function approximation (FA) problem data are collected using sensors. From the output of the th sensor, features are extracted, ther...
Debrup Chakraborty, Nikhil R. Pal
CIARP
2003
Springer
13 years 9 months ago
Uniclass and Multiclass Connectionist Classification of Dialogue Acts
Classification problems are traditionally focused on uniclass samples, that is, each sample of the training and test sets has one unique label, which is the target of the classific...
María José Castro Bleda, David Vilar...
ISBI
2006
IEEE
14 years 6 months ago
Automated segmentation of white matter lesions in 3D brain MR images, using multivariate pattern classification
This paper presents a fully automatic white matter lesion (WML) segmentation method, based on local features determined by combining multiple MR acquisition protocols, including T...
Abbas Jawad, Bilge Karaçali, Christos Davat...
ICANN
2005
Springer
13 years 11 months ago
Detecting Compounded Anomalous SNMP Situations Using Cooperative Unsupervised Pattern Recognition
This research employs unsupervised pattern recognition to approach the thorny issue of detecting anomalous network behavior. It applies a connectionist model to identify user behav...
Emilio Corchado, Álvaro Herrero, José...