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The characteristics of big data not only challenge the processing methods of large volume of data, but also the way we make use of such semantic-rich resources, among which how users plan to manipulate the intermediate or final results requires to be well considered. This is especially challenging in building analytics systems as big data is richer in semantics and the heterogeneous data modalities...
Outlier detection is a key technique in data ming and machine learning fields. The deviating characters of outliers make huge detrimental effects on the learning tasks. A lot of algorithms are therefore proposed to handle outliers from different perspectives, such as distance, density, angle and so on. Among these approaches, the density-based methods achieve better performance, but also suffer from...
Combining polarization filtering with the oblique projection, we address an oblique projection polarization filter (OPPF) which enables the extraction of the desired polarized waves while suppressing the unwanted polarized interference signals, based on estimating the polarized parameters subspaces of desired signals and interferences. The simulation results show that the OPPF is a valid means to...
This paper presents an efficient method for designing two-dimensional (2-D) half-band digital filter using the singular-value-decomposition (SVD). The SVD of zero-phase half-band frequency response generates a set of one-dimensional (1-D) frequency responses which can be approximated using the cascade of a half-advance digital filter and a set of 1-D filters. The most important point is that each...
How to find and select services in enterprise applications when building enterprise service bus (ESB) platform has become a hot research topic. The existing QoS-based services selection and binding approaches always pay attention to the quality of successful service execution, and lose sight of the possibility that the services execution would be failed. Unfortunately, in many loose-couple environments,...
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