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» Probabilistic Neural Network Models for Sequential Data
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PRL
1998
132views more  PRL 1998»
13 years 7 months ago
Unsupervised feature selection using a neuro-fuzzy approach
A neuro-fuzzy methodology is described which involves connectionist minimization of a fuzzy feature evaluation index with unsupervised training. The concept of a ¯exible membersh...
Jayanta Basak, Rajat K. De, Sankar K. Pal
ECRTS
2004
IEEE
13 years 11 months ago
Comparing Real-Time Communication Under Electromagnetic Interference
The contribution of this paper is threefold. First, an improvement to a previously published paper on the timing analysis of Controller Area Network (CAN) in the presence of trans...
Ian Broster, Alan Burns, Guillermo Rodrígue...
IWANN
2007
Springer
14 years 2 months ago
Towards the Integration of a Bioprofile in Ocular Melanoma
Approximately 50% of all patients with intraocular melanoma die of metastatic disease, despite successful treatment of the primary tumour. The main factors associated with mortalit...
Azzam F. Taktak, Antonio Eleuteri, Christian Setzk...
RECOMB
2003
Springer
14 years 8 months ago
Optimizing exact genetic linkage computations
Genetic linkage analysis is a challenging application which requires Bayesian networks consisting of thousands of vertices. Consequently, computing the likelihood of data, which i...
Dan Geiger, Maáyan Fishelson
CRV
2006
IEEE
160views Robotics» more  CRV 2006»
14 years 2 months ago
Multiple-Sensor Indoor Surveillance System
This paper describes a surveillance system that uses a network of sensors of different kind for localizing and tracking people in an office environment. The sensor network consist...
Valery A. Petrushin, Gang Wei, Omer Shakil, Damian...