This present work describes a framework for the analysis of score dynamics and energy fluctuations in competitive environments, aimed at forecasting match outcomes and providing strategic decisions useful to coaching ...
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Recurrent Neural Networks (RNNs) are commonly used in data-driven approaches to estimate the Remaining Useful Lifetime (RUL) of power electronic devices. RNNs are preferred because their intrinsic feedback mechanisms ...
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Code search aims to retrieve relevant code snippets from large code repositories based on query, promoting code reuse and enhancing software development efficiency. Deep Learning is a powerful approach for code search...
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Moving target detection is one of the most basic tasks in computer *** conventional wisdom,the problem is solved by iterative optimization under either Matrix Decomposition(MD)or Matrix Factorization(MF)*** utilizes f...
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Moving target detection is one of the most basic tasks in computer *** conventional wisdom,the problem is solved by iterative optimization under either Matrix Decomposition(MD)or Matrix Factorization(MF)*** utilizes foreground information to facilitate background *** uses noise-based weights to fine-tune the *** both noise and foreground information contribute to the recovery of the *** jointly exploit their advantages,inspired by two framework complementary characteristics,we propose to simultaneously exploit the advantages of these two optimizing approaches in a unified framework called Joint Matrix Decomposition and Factorization(JMDF).To improve background extraction,a fuzzy factorization is *** fuzzy membership of the background/foreground association is calculated during the factorization process to distinguish their contributions of both to background *** describe the spatio-temporal continuity of foreground more accurately,we propose to incorporate the first order temporal difference into the group sparsity constraint *** temporal constraint is adjusted *** foreground and the background are jointly estimated through an effective alternate optimization process,and the noise can be modeled with the specific probability *** experimental results of vast real videos illustrate the effectiveness of our *** with the current state-of-the-art technology,our method can usually form the clearer background and extract the more accurate ***-noise experiments show the noise robustness of our method.
With the increasing popularity of short video plat-forms, the massive UGC provides high-quality materials for brand advertising. Recently, personalized content discovery methods have been proposed to recommend appropr...
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Knowledge distillation techniques have shown significant potential in the challenging field of unsupervised anomaly detection (AD). The difference in anomaly representation in teacher-student (T-S) models provides cru...
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The project aims to develop an accurate and efficient pneumonia detection system utilizing chest X-ray images, addressing the critical need for early diagnosis and treatment of pneumonia, particularly in resource-cons...
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At present, traffic image detection technology represented by lane lines has emerged as a key area of research in the transportation. Extracting lane lines under complex backgrounds has become an urgent task for under...
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Based on the characteristics of synthetic aperture radar (SAR) images, this paper designs a lightweight generative adversarial network (GAN) model that uses dual-channel mode to simultaneously read two SAR images from...
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In the context of the new era, the financing needs of enterprises grow significantly with the continuous expansion of their scale. However, in the financing process, small and micro enterprises often encounter challen...
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