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Domain adaption (DA) allows machine learning methods trained on data sampled from one distribution to be applied to data sampled from another. It is thus of great practical importance to the application of such methods. Despite the fact that tensor representations are widely used in Computer Vision to capture multi-linear relationships that affect the data, most existing DA methods are applicable...
In this paper, a new measurement method to immune noise for in-situ EMC tests is proposed. Different from the traditional virtual microwave chamber method based on adaptive noise cancellation technology, in the proposed method, technologies in array signal processing such as spatial spectrum estimation and adaptive beamforming are adopted to filter the ambient noise in space domain. This measurement...
Spatial query is the core function of GIS analysis, the query data is mostly geometric point, line, polygon which has the location information and formatted query condition is a variety of spatial relationships. We focus on the spatial query efficiency improvement with the query data in case of large and complex, and propos an effective spatial adaptive grid index filter algorithm for spatial query...
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