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Large scale hierarchical classification problem researches how to classify web documents into the categories among a class hierarchy. As the class hierarchy is very large that containing thousands or even tens of thousands of categories, the performance of the classification is still lower. While a reduce-and-conquer strategy has been proposed to make the problem tractable, candidate search is a bottleneck...
Recent years, society relies heavily on the network infrastructure and information system. Protecting these assets from frequently network attacks needs to deploy some distributed security systems. However the amount of data produced by many distributed security tools can be overwhelming. So it's very difficult and limited to get the most risky alert through manual process based on the huge network...
The complexity of today's networks and distributed systems makes the process of network monitoring difficult. The amount of data produced by many distributed security tools can be overwhelming. So it's very difficult and limited to get the most risky alert through manual process based on the huge network alerts with many attributes, such as asset, priority, reliability, risk, type et al. The common...
Digital watermarking based on biometric identification is a novel Information hiding technology. The paper presents a 3-level RDWT biometric watermarking algorithm to embed fingerprints minutiae data in a color face image of the same individual for increased information hiding robustness, security and accuracy. The hidden minutiae data can be extracted accurately from the carrier image using a secret...
This paper presents high accuracy quadrature formulas for Cauchy singular integral, their Euler-Maclaurin expansions and extrapolation formulas. Using these formulas, we give high precision quadrature algorithm of singular integral equations. Numerical results are also provided to support our algorithms and analysis.
The deep web integration system employs a set of semantic mappings between the mediated schema and the schemas of web data sources. In this dynamic environment, sources often undergo changes that invalidate the mappings. Such continuous monitoring is extremely labor intensive, and poses a key bottleneck to the widespread deployment of web data integration systems in practice. The paper describes DBMFR...
Feature selection is among the keys in many applications, especially in mining high-dimensional data. With lack of labeled instances, the learning accuracy may deteriorate using traditional methods. In this paper, we introduce a ldquowrapperrdquo type semi-supervised feature selection approach based on RSC model. It extends the class label from labeled training set to unlabeled data. Additionally,...
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