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» A Support Vector Clustering Method
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ICC
2007
IEEE
142views Communications» more  ICC 2007»
15 years 10 months ago
Reduced-Complexity Cluster Modelling for the 3GPP Channel Model
—The realistic performance of a multi-input multi-output (MIMO) communication system depends strongly on the spatial correlation properties introduced by clustering in the propag...
Hui Xiao, Alister G. Burr, Rodrigo C. de Lamare
126
Voted
ICANN
2005
Springer
15 years 9 months ago
Self Organizing Map (SOM) Approach for Classification of Power Quality Events
In this work, Self Organizing Map (SOM) is used in order to classify the types of defections in electrical systems, known as Power Quality (PQ) events. The features for classificat...
Emin Germen, Dogãn Gökhan Ece, Öm...
IJCNN
2000
IEEE
15 years 8 months ago
Fuzzy Clustering Algorithm Extracting Principal Components Independent of Subsidiary Variables
Fuzzy c-varieties (FCV) is one of the clustering algorithms in which the prototypes are multi-dimensional linear varieties. The linear varieties are represented by some local prin...
Chi-Hyon Oh, Hirokazu Komatsu, Katsuhiro Honda, Hi...
144
Voted
WCE
2007
15 years 4 months ago
QoS-aware Multicast Ad hoc On-Demand Distance Vector Routing
—Ad hoc networking will become a major technology for wireless connectivity beside the multimedia necessity within the next few years. There are too many applications where one-t...
Vida Lashkari B. O., Mehdi Dehghan
138
Voted
ICIP
2003
IEEE
16 years 5 months ago
Morphological hat-transform scale spaces and their use in texture classification
In this paper we present a multi-scale morphological method for use in texture classification. A connected operator similar to the morphological hat-transform is defined, and two ...
Andrei Jalba, Jos B. T. M. Roerdink, Michael H. F....