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CAPTCHA is a new kind of network security mechanism. Studying the recognition of CAPTCHA can help to discover its hidden defects and thus make it more secure. For closely-connected CAPTCHAs that can hardly be recognized by methods of state of art, this paper proposed a new recognition algorithm based on holistic verification. During the process of this algorithm, Recurrent Neural Network (RNN) was...
With the rapid development of tourism, traditional simulated guide training system no longer meets the need of new age tourist guide resources training. It appears rather impendency and important to apply modern education technology and method to improve tourist guide practical teaching level to bring up tourist guide resources with high efficiency and quality. This article analyzed the maintaining...
Conditional random fields (CRFs) for sequence labeling offer advantages over both generative models like hidden Markov model (HMM) and classifiers applied at each sequence position. First, the CRFs don't force to adhere to the independence assumption and thus can depend on arbitrary, non-independent features, without accounting for the distribution of those dependencies. Since CRFs models are able...
Collaborative filtering has two methodologies: user based one and item based one. The former uses the similarity between users to predict, while the latter uses the similarity between items. Although both of them are successfully applied in wide regions, they suffer from a fundamental problem: data sparsity. In this paper, we propose a hybrid approach to overcome the problem. We define a similarity...
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