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In order to efficiently recognize the partially ordered or interleaved, multiple plans, treat the partial observability of the domains and exclude misleading actions, in this paper, we designed a new plan recognition algorithm based on extending and pruning the Explanation Graph and then implemented it using the VC++ programming language. The results of test experiment indicate that the algorithm...
The N200 speller is a novel brain-computer interface (BCI) paradigm utilizing the overt attention effects on motion onset visual evoked potentials (mVEP). However, the asynchronous performance of the N200 BCI has not been fully explored. In this paper, a novel algorithm was proposed, integrating the spatial profile of the visual speller to provide a more precise description of the mVEP responses....
For higher text classification precision, a general fusion classification model and algorithm are proposed, which based on model theory of information fusion, adopting multi-Media information on the network. The model includes two layers, one is feature layer, which deals with different Media information with different classification algorithm, and inputs the classification results into the higher...
Paraphrasing is another expression that does not change the meaning of the original statement. Combined with the Chinese sentences automatically paraphrasing techniques, Chinese text information hiding algorithm is proposed in this paper, this algorithm give prominence to template rules and matching process, which also act as a basis for realizing information hiding. Then we analyze the algorithm...
In this paper, a general decision layer classification fusion model, based on information fusion for improving classification precision, is proposed, that is, different multi-classification algorithms as the feature layer doing respective classification, and the results of classification algorithms are input into decision level, the last classification result is output.This model is applied into improving...
A new method of fault diagnosis based on support vector machine (SVM) and feature evaluation is presented. Feature evaluation based on class separability criterion is discussed in this paper. A multi-fault SVM classifier based on binary classifier is constructed for bearing faults. Compared with the artificial neural network based method, the SVM based method has desirable advantages. Experiment shows...
In this paper, we propose two general multiple instance active learning (MIAL) algorithms, multiple-instance active learning with a simple margin strategy (S-MIAL) and multiple- instance active learning with fisher information (F-MIAL), and apply them to the relevance feedback in localized content based image retrieval (LCBIR). S-MIAL considers the most ambiguous picture as the most valuable one,...
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