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Article
MSNet: a lightweight multi-scale deep learning network for pedestrian re-identification
Pedestrian re-identification is highly dependent on discriminative features that enable images to encapsulate an arbitrary combination of multiple scales by different spatial scales. However, current models di...
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Article
Noisy image reconstruction based on low-rank in UAV wireless transmission
Compressed sensing changes the conventional image processing model of full collection-sampling-compression-transmission-reconstruction and provides a more feasible way to the UAV wireless transmission. Existin...
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Article
Open AccessFast sparsity adaptive matching pursuit algorithm for large-scale image reconstruction
The accurate reconstruction of a signal within a reasonable period is the key process that enables the application of compressive sensing in large-scale image transmission. The sparsity adaptive matching pursu...
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Article
Sparsity estimation based adaptive matching pursuit algorithm
Compared with convex optimization algorithms and combination algorithms, greedy pursuit algorithms can balance operational efficiency and reconstruction precision, so they are widely used in the signal reconst...
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Article
Research of incoherence rotated chaotic measurement matrix in compressed sensing
Measurement matrix construction is the hot issue of compressed sensing. How to construct a measurement matrix of good performance and easy hardware implementation is the main research problem in compressed sen...
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Article
DCCP: an effective data placement strategy for data-intensive computations in distributed cloud computing systems
Cloud computing systems provide high-performance computing resources and distributed storage space to deal with data-intensive computations. Data scheduling between data centers is becoming indispensable for t...
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Chapter and Conference Paper
The Chaotic Measurement Matrix for Compressed Sensing
How to construct a measurement matrix with good performance and easy hardware implementation is the core research problem in compressed sensing. In this paper, we present a simple and efficient measurement mat...
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Chapter and Conference Paper
A Novel Combination Feature HOG-LSS for Pedestrian Detection
Since the ability of various kinds of feature descriptor is different in pedestrian detection and selecting them is not always fathomed, the six common features are analyzed in theory and compared in experimen...
