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Multiple view data with different feature representations have widely arisen in various practical applications. Due to the information diversity, fusing multiview features is very valuable for classification purpose. In this paper, we propose a new multifeature fusion method called fractional-order discriminative multiview correlation projection (FDMCP), which is based on fractional-order scatter...
There are three retrieval algorithms developed for the HY-2A Atmospheric Correction Microwave Radiometer (ACMR). The validation Results of these retrieval algorithms and corresponding products (the wet tropospheric path delays) are presented. Comparisons are made between HY-2A ACMR and various sources including Jason2 Advanced Microwave Radiometer (AMR), global climatological model (ECMWF).
Nowadays, many spatial data infrastructures are providing users the ability to discover, access, publish, and share geospatial data for free. Metadata plays a critical role when searching remote sensing data entities. However, as the spatial data infrastructure usually has a large number of users, the metadata database has high access concurrency requirement. Moreover, metadata of massive remote sensing...
Large-scale radio environment data can provide good reference knowledge for self-organization based wireless networks, such as cognitive radio as well as heterogeneous network. However, it is usually difficult to obtain the data of real spectrum usage due to the constrains of radio monitor capability and cost. In this sense, we believe grass-root based spectrum data collection is important. In this...
The extensive application of tree model has made tree mining become a hot field in data mining research. As an important branch of tree mining, tree cluster plays a fundamental analysis role in many areas. In this paper, a tree cluster algorithm was proposed based on least closed tree, which effectively solved problems in large amount of data in practical application. The basic method is bringing...
Mining unordered trees are very useful in domains like XML date, biological information, Web structure, etc. In this paper, we introduce an efficient algorithm UTMiner (unordered trees miner). As the trees are unordered, in order to avoid mining the same subtrees, an efficient unordered trees standardization is first introduced to transform the unordered trees into the standard subtrees. Then UTMiner...
Traditional algorithms in mining sequence patterns only discover the frequent sequences satisfying the minimum support threshold minsup; however, these methods don't consider the importance of actual sequences. In order to mine the important sequence patterns satisfying users' many demands, this paper presents a new algorithm called SASeqP for mining self-adaptive sequence patterns based on sequence...
Induced subtrees mining is of important researching value in the fields of XML documents, bioinformatics, web log and so forth. In this paper, the two conceptions of subtree vector and pruning threshold are proposed, and an algorithm ITMSV (induced subtrees mining based on subtree vector) is presented to discover frequent induced subtrees quickly by taking full advantages of the features of subtree...
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