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This work investigates a statistical technique for high performance remote-sensing imagery compression. By exploiting existing remote-sensing data sets, useful structural and texture prior information can be learned. The main methodologies are Bayesian dictionary learning and stochastic approximation. A Bayesian network simulating the generation mechanism of remote- sensing images is modelled. The...
Requirements for higher resolution remote sensing images lead to rapid increase of data amount in space communications. However, since satellite communications capacity is suffering from great pressure, seeking for more effective compression scheme is supposed to solve existing conflict between tremendous data and limited bandwidth. For this reason, this paper proposes a prior-information-based remote...
In this paper, we present a face video database that contains 31,500 videos of 100 individual volunteers. The primary purpose of building this database is to serve as a standardized test video sequences for any research related to video-conferences. Each of the volunteers was filmed by 9 groups of synchronized webcams under 7 illumination conditions, and was requested to complete a series designated...
Location Based Services (LBS) and Social Networking Services (SNS) are two increasingly popular service systems which have been widely used in various applications. We offer an in-depth analysis of the relationship between the two different systems. Based on this analysis, we propose an effective approach to bridge these two different systems and demonstrate its applicability in providing a more intelligent...
Design and fabrication of hierarchically structured membranes with high proton conductivity is crucial to many energy‐relevant applications including proton exchange membrane fuel cell (PEMFC). Here, a series of imidazole microcapsules (IMCs) with tunable imidazole group loading, shell thickness, and lumen size are synthesized and incorporated into a sulfonated poly(ether ether ketone) (SPEEK) matrix...
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