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» Character Recognition using Spiking Neural Networks
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WCE
2007
13 years 10 months ago
Face Recognition using Discrete Cosine Transform plus Linear Discriminant Analysis
—Face recognition is a biometric identification method which among the other methods such as, finger print identification, speech recognition, signature and hand written recognit...
M. Hajiarbabi, J. Askari, S. Sadri, M. Saraee
NLPRS
2001
Springer
14 years 1 months ago
Named Entity Recognition using Machine Learning Methods and Pattern-Selection Rules
Named Entity recognition, as a task of providing important semantic information, is a critical first step in Information Extraction and QuestionAnswering system. This paper propos...
Choong-Nyoung Seon, Youngjoong Ko, Jeong-Seok Kim,...
TNN
2008
88views more  TNN 2008»
13 years 8 months ago
A New Approach to Knowledge-Based Design of Recurrent Neural Networks
Abstract-- A major drawback of artificial neural networks (ANNs) is their black-box character. This is especially true for recurrent neural networks (RNNs) because of their intrica...
Eyal Kolman, Michael Margaliot
GECCO
2003
Springer
120views Optimization» more  GECCO 2003»
14 years 1 months ago
New Usage of SOM for Genetic Algorithms
Abstract. Self-Organizing Map (SOM) is an unsupervised learning neural network and it is used for preserving the structural relationships in the data without prior knowledge. SOM h...
Jung Hwan Kim, Byung Ro Moon
SSPR
2004
Springer
14 years 2 months ago
Recognition of Handwritten Numerals Using a Combined Classifier with Hybrid Features
Off-line handwritten numeral recognition is a very difficult task. It is hard to achieve high recognition results using a single set of features and a single classifier, since hand...
Kyoung Min Kim, Joong Jo Park, Young Gi Song, In-C...