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We propose a nuclear-norm regularized two-dimensional neighborhood preserving projection (2DNPP) for extracting representative 2D image features. Note that 2DNPP extracts neighborhood preserving features through minimizing the reconstruction error, but the Frobenius norm based metric is sensitive to noise and outliers. To make the distance metric more reliable and model the neighborhood reconstruction...
Named Data Networking (NDN), a revolution of the IP architecture, provides an information-centric routing for designing the unified Internet of Things (IoT) network protocol. However, the data forwarding scheme exploited by the current NDN generates lots of communication overhead and invalid caching hits, which is not suitable for IoT. This is because there exist large amounts of weak network devices...
Taking the advanced geological forecast in diversion tunnel of Jinping Hydroelectric power Station as an example, the principle of LTD-2100 ground penetrating radar (GPR) is expounded, and it is also stated in detail how to set parameter, layout measuring line, detect, process the data, as well as explain the detection results. It can forecast accurately the geological condition within about 30m in...
This letter presents a Tensor Locally Linear Discriminative Analysis (TLLDA) method for image presentation. TLLDA is originated from the Local Fisher Discriminant Analysis (LFDA), but TLLDA offers some advantages over LFDA. 1) TLLDA can preserve the local discriminative information of image data as LFDA. 2) TLLDA represents images as matrices or 2-order tensors rather than vectors, so TLLDA keeps...
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