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The recognition of handwritten characters and digits is an important and challenging issue in OCR algorithms. This article presents a new method in which cluster based weighted support vector machine is used for the classification and recognition of Farsi handwritten digits that is reasonably robust against rotation and scaling. In the proposed algorithm, after applying the necessary preprocessing...
Summary form only given. As an extension of winner-takes-all to multiple selections, K-Winners take-all (KWTA) is a fundamental operation with widespread applications in sorting, filtering, decoding, clustering, classification, and so on. In this talk, the KWTA problem is formulated as several optimization problems with reducing complexity. Several recurrent neural networks will be presented for solving...
Nonnegative tensor factorization (NTF) is a recent multiway (multilinear) extension of negative matrix factorization (NMF), where nonnegativity constraints are mainly imposed on CANDECOMP/PARAFAC model and recently, also, on Tucker model. Nonnegative tensor factorization algorithms have many potential applications, including multiway clustering, multi-sensory or multidimensional data analysis and...
The aim of this paper is to show that the data stored in companies data warehouses can be used in order to improve business. By application of data mining method, neural clustering, we investigate age structure of employees and its influence on business companies. This would enable improvement in employment policy for small and medium-sized companies. The criteria while employing new people in retail...
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