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In this paper, we propose an efficient and robust gross outlier removal method, called the Conceptual Space based Gross Outlier Removal (CSGOR) method, to remove gross outliers for geometric model fitting. In the proposed method, each data point is mapped to a conceptual space by computing the preference of "good" model hypotheses. In the conceptual space, the distributions of inliers and...
Seismic time–frequency analysis methods play an important role in seismic interpretation for its superiority in significantly revealing the frequency content of a seismic signal changes with time variation. Variational-mode decomposition (VMD) is a newly developed methodology for decomposition on adaptive and quasi-orthogonal signal and can decompose a seismic signal into a number of band-limited...
Recently sparse and collaborative representation based classification has been developed for face recognition with single sample per person (SSPP). By using variations extracted from a generic training set as an additional common dictionary, promising performance has been reported in face recognition with SSPP. However, existing representation based classifiers for face recognition with SSPP ignored...
The uncertainty of generation required to maintain system balancing has been growing significantly due to the penetration of renewable energy resources such as wind power and the impact of demand response. To deal with such uncertainty, RTO's require not only more accurate demand forecasting for longer-term prediction beyond real-time, but also demand forecasting with confidence intervals. In this...
The structure of block sparsity in multi-band signals is prevalent. Performance of recovery algorithms that taking advantage of the block sparsity structure is promising in the compressed sensing framework. In this paper, we propose a binary tree based recovery algorithm for block-sparse signals, where we exploit the fact that each block may have zero and nonzero elements both. The proposed algorithm...
To deal with the uncertainty in the demand and the lack of compliance from generators to follow instructions, Independent System Operators (ISO) evaluate commitment and dispatch solutions for different demand scenarios (low, medium and high). A robust dispatch algorithm that guarantees the ??reach-ability?? of the low and high demand scenarios from the medium demand dispatch is proposed in this paper...
In this paper, a novel blind video watermarking scheme based on discrete wavelet transform (DWT) is proposed. In this scheme, DWT is performed to each frame of the original video. Then embed watermark into some high-frequency coefficients, which are selected according to certain rules, to guarantee the perceptual quality of the watermarked video. When embedding, the quantization index modulation (QIM)...
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