作者：
Liu, Yi-NingLu, KaiYang, NanSun Yat-sen University
School of Electronics and Information Technology Guangdong Provincial Key Laboratory of Optoelectronic Information Processing Chips and Systems Guangzhou510006 China
A miniaturized dual-band dipole-based planar antenna for mobile satellite service (MSS) is presented. Four pairs of U-shaped arms are added at the end of the dipole, which can reduce the antenna area to 0.18 λ0 ×...
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Knowledge graphs are used to alleviate the problems of data sparsity and cold starts in recommendation systems. However, most existing approaches ignore the hierarchical structure of the knowledge graph. In this paper...
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In key-value storage scenarios where storage space is at a premium, our focus is on a class of solutions that only store the value, which is highly space-efficient. While these solutions have proven their worth in dis...
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Existing models for diverse generative reasoning still struggle to generate multiple unique and plausible results. Through an in-depth examination, we argue that it is critical to leverage a mixture of experts as pref...
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Underwater image enhancement (UIE) focuses on mitigating image quality degradation due to light absorption and scattering. However, most existing methods enhance images via a global and uniform manner, neglecting the ...
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Spectral-spatial Gabor filtering(GF),a robust feature extraction tool,has been widely investigated for hyperspectral image(HSI)***,a new type of GF method,named phase-induced GF,which showed great potential for HSI fe...
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Spectral-spatial Gabor filtering(GF),a robust feature extraction tool,has been widely investigated for hyperspectral image(HSI)***,a new type of GF method,named phase-induced GF,which showed great potential for HSI feature extraction,was *** this new type of GF possibly better explores the frequency characteristics of HSIs,with a new parameter added,it generates a much larger amount of features,yielding redundancies and noises,and is therefore risky to severely deteriorate the efficiency and accuracy of *** tackle this problem,we fully exploit phase-induced Gabor features efficiently,proposing an efficient phase-induced Gabor cube selection and weighted fusion(EPCS-WF)method for HSI ***,to eliminate the redundancies and noises,we first select the most representative Gabor cubes using a newly designed energy-based phase-induced Gabor cube selection(EPCS)algorithm before feeding them into ***,a weighted fusion(WF)strategy is adopted to integrate the mutual information residing in different feature cubes to generate the final *** experimental results obtained on four well-known HSI datasets demonstrate that the EPCS-WF method,while only adopting four selected Gabor cubes for classification,delivers better performance as compared with other Gabor-based *** code of this work is available at https://***/cairlin5/EPCS-WF-hyperspectral-image-classification for the sake of reproducibility.
To accommodate more modes, the refractive index of core material in few mode fiber will become large, causing high Rayleigh scattering loss. To solve this issue, we adopt fluorinedopled quartz cladding to reduce the d...
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Continuous prompt tuning has gained significant attention for its ability to train only continuous prompts while freezing the language model. This approach greatly reduces the training time and storage for downstream ...
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Few-mode multi-core fiber is a space-division multiplexing backup solution to address the communication capacity crunch which is limited by the capacity of single-mode fiber. In this paper, we propose a weakly coupled...
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Generating synthetic fake faces, known as pseudo-fake faces, is an effective way to improve the generalization of DeepFake detection. Existing methods typically generate these faces by blending real or fake faces in s...
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