Incremental class learning approach and its application to handwritten digit recognition
نویسندگان
چکیده
منابع مشابه
Incremental Class Learning Approach and its Application to Handwritten Digit Recognition
Incremental Class Learning (ICL) provides a feasible framework for the development of scalable learning systems. Instead of learning a complex problem at once, ICL focuses on learning subproblems incrementally, one at a time — using the results of prior learning for subsequent learning — and then combining the solutions in an appropriate manner. With respect to multi-class classification proble...
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In a previous work [12, 11], the authors proposed SPAN: a learning algorithm based on temporal coding for Spiking Neural Network (SNN). The algorithm trains a neuron to associate target spike patterns to input spatio-temporal spike patterns. In this paper we present the details of experiment to evaluate the feasibility of SPAN learning on a real-world dataset: classifying images of handwritten ...
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This paper presents a new approach to off-line handwritten numeral recognition. From the concept of perturbation due to writing habits and instruments, we propose a recognition method which is able to account for a variety of distortions due to eccentric handwriting. The recognition of handwritten numerals is a challenging task in the field of image processing and pattern recognition. It can be...
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We present the results of several unsupervised algorithms tested on the MNIST database as well as techniques we used to improve the classification accuracy. We find that spiking neural network outperforms kmeans clustering and reaches the same level as the supervised SVM. We then discuss several inherent issues of unsupervised methods for the handwritten digit classfication problem and propose ...
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In spite of the advances in pattern recognition technology, Handwritten Bangla Character Recognition (HBCR) (such as alpha-numeric and special characters) remains largely unsolved due to the presence of many perplexing characters and excessive cursive in Bangla handwriting. Even the best existing recognizers do not lead to satisfactory performance for practical applications. To improve the perf...
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ژورنال
عنوان ژورنال: Information Sciences
سال: 2002
ISSN: 0020-0255
DOI: 10.1016/s0020-0255(02)00170-6