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IPM
2006
151views more  IPM 2006»
13 years 7 months ago
Document clustering using nonnegative matrix factorization
A methodology for automatically identifying and clustering semantic features or topics in a heterogeneous text collection is presented. Textual data is encoded using a low rank no...
Farial Shahnaz, Michael W. Berry, V. Paul Pauca, R...
ICPR
2010
IEEE
13 years 5 months ago
Classification of Polarimetric SAR Images Using Evolutionary RBF Networks
This paper proposes an evolutionary RBF network classifier for polarimetric synthetic aperture radar ( SAR) images. The proposed feature extraction process utilizes the full covar...
Ince Turker, Serkan Kiranyaz, Moncef Gabbouj
ICPR
2010
IEEE
14 years 1 months ago
Classification of Polarimetric SAR Images Using Evolutionary RBF Neural Networks
This paper proposes an evolutionary RBF network classifier for polarimetric synthetic aperture radar ( SAR) images. The proposed feature extraction process utilizes the full covar...
Ince Turker, Serkan Kiranyaz, Gabbouj Moncef
ICPR
2000
IEEE
14 years 2 days ago
Probabilistic Saliency Approach for Elongated Structure Detection Using Deformable Models
In this paper we address the object recognition problem in a probabilistic framework to detect and describe object appearance through image features organized by means of active c...
Xavier Orriols, Ricardo Toledo, Xavier Binefa, Pet...
BMCBI
2010
155views more  BMCBI 2010»
13 years 7 months ago
A flexible R package for nonnegative matrix factorization
Background: Nonnegative Matrix Factorization (NMF) is an unsupervised learning technique that has been applied successfully in several fields, including signal processing, face re...
Renaud Gaujoux, Cathal Seoighe