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Spam filtering is a research hotspot of information security. For the weak fault-tolerant ability of traditional filtering methods, an approach to spam filtering based on α - positive-region of decision-theoretic rough set (DTRS) is developed. Firstly, α -positive-region attribute reduction theorem is adopted to reduce email attributes. Then, according to the minimum risk Bayesian decision theory,...
This paper proposes a novel patch synthesis approach for exemplar-based propagation in image in painting. Currently, plural non-local exemplar patches synthesis is widely adopted to fill missing pixels. It generally provides good results, but sometimes shows poor visual quality due to dissimilarity between exemplars and targets. In this paper, a collaborative filtering approach is used to enhance...
For any product recommendation systems, the most important thing is to improve the accuracy of prediction of customer preferences on products. If there is not enough information of a product, especially when a new product is introduced into the system, it is difficult to recommend the product to other customers. If we can select few customers to rate this product we may predict more accurate. We term...
In this paper, we consider the information rates of baseband linear filter channels with timing errors. We assume that the timing error can be modeled as a discrete-valued Markov process. Based on this assumption, we turn the channel into a finite-state machine model and show that the output sequence is an ergodic and asymptotically stationary hidden Markov process. We then propose Monte-Carlo methods...
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