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Increment adaptive correlation filter for visual tracking 11

Increment adaptive correlation filter for visual tracking

11th International Symposium on Multispectral Image Processing and Pattern Recognition: Pattern Recognition and computer Vision, MIPPR 2019

作者： Chen, Gang Fang, Zhiwen Yue, Zhou Liu, Bo Xiao, Yang Li, Yanan Department of Information Hunan University of Humanities Science and Technology Loudi Hunan China Department of Energy and Electromechanical Engineering Hunan University of Humanities Science and Technology Loudi Hunan China School of Biomedical Engineering Southern Medical University Guangzhou Guangdong China National Key Lab of Sci. and Tech. on Multispectral Information Processing School of Automation Huazhong Univ. of Sci. and Tech. Wuhan Hubei China School of Computer Science and Engineering Wuhan Institute of Technology Wuhan Hubei China

ISBN: (纸本)9781510636378

Currently, the correlation filter is widely used in visual tracking because of its effectiveness and efficiency. To adapt the representation to changing target appearances, a linear interpolation is used to update tracking models according to a manually designed learning rate. However, The limitation of manually tricks make methods only apply to some special scenes because the threshold parameters are sensitive to different response maps in complex scenes. In this paper, to overcome this problem, an adaptive increment correlation filter based tracker is proposed. Different from traditional linear interpolation depending on a manual learning rate, the increment is learned by linear regression based on the history tracking model and the current training samples. Experimentally, we show that our algorithm can outperform state-of-the-art key point-based trackers. © SPIE. Downloading of the abstract is permitted for personal use only.

关键词： Adaptive filtering

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Diversified QoS-Centric Service Recommendation for Uncertain QoS Preferences

Diversified QoS-Centric Service Recommendation for Uncertain...

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IEEE International Conference on Services Computing (SCC)

作者： Guosheng Kang Jianxun Liu Buqing Cao Yong Xiao Hunan Provincial Key Lab. for Services Computing and Novel Software Technology HNUST Xiangtan China School of Computer Science and Engineering Hunan University of Science and Technology Xiangtan China

ISBN: (数字)9781728187891

ISBN: (纸本)9781728187907

With the wide adoption of SOA (Service Oriented Architecture), a massive amount of Web services emerge on the Internet. Finding the desired services becomes a challenge. Thus, service recommendation has become of paramount research to relieve users' difficulty in service selection. Existing Web service recommendation approaches employ utility functions or skyline techniques with the assumption that users can provide numerical QoS (Quality of Service) preferences. However, in practice, it is hard for users, even for professional users, to provide specific QoS preferences in their service requests. Thus, how to effectively recommend services to users when their QoS preferences are uncertain is a challenging issue. To solve the problem, this paper focuses on the characteristics of user requirements, and proposes a diversified QoS-centric service recommendation approach for uncertain QoS preferences, by which a list of services with desired QoS fulfillment and diversity are produced. Extensive experiments are conducted on a real-world dataset to demonstrate the effectiveness and efficiency of our approach.

关键词： Uncertainty Conferences Service computing Quality of service Euclidean distance Service-oriented architecture

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A study on the differences of attitude learning and learning behavior sequences for university computer MOOC+ SPOC Course 15

A study on the differences of attitude learning and learning...

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15th International Conference on computer science and Education, ICCSE 2020

作者： Changhua, Zhao Chunqiao, Mi Huaihua University School of Computer Science and Engineering Huaihua418000 China Key Laboratory of Wuling-Mountain Health Big Data Intelligent Processing and Application Hunan Province Universities Huaihua Hunan418000 China Key Lab. of Intelligent Contr. Technol. for Wuling-Mountain Ecological Agriculture in Hunan Province Huaihua Hunan418000 China

ISBN: (纸本)9781728172675

The outbreak of COVID-19 make University computer MOOC+SPOC course face opportunities and challenges. There are some problems in MOOC+SPOC course teaching, such as learners' curiosity decreasing, lack of accomplishment and etc. In order to deal with these problems, this study explores the correlation and differences in the learning behavior sequences of learners with different attitudes to high happiness, medium happiness, and low happiness. Through the learners' comments on University computer MOOC+SPOC course, the learner's attitude information is tapped. By analyzing learning behavior sequences, this study finds out the degree of learning behavior change of learners with different attitudes. The result of this study can improve the existing University computer MOOC+SPOC instructional design and promote the learning mode to move towards intelligent personalized adaptive learning. © 2020 IEEE.

关键词： Curricula

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Motion Planning for Autonomous Driving: The State of the Art and Future Perspectives

arXiv

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arXiv 2023年

作者： Teng, Siyu Hu, Xuemin Deng, Peng Li, Bai Li, Yuchen Yang, Dongsheng Ai, Yunfeng Li, Lingxi Xuanyuan, Zhe Zhu, Fenghua Chen, Long BNU-HKBU United International College Zhuhai519087 China Hong Kong Baptist University Kowloon 999077 Hong Kong The School of Computer Science and Information Engineering Hubei University Wuhan430062 China The State Key Laboratory of Advanced Design and Manufacturing for Vehicle Body China The College of Mechanical and Vehicle Engineering Hunan University Changsha410082 China University of Chinese Academy of Sciences Beijing100049 China The School of Public Management/Emergency Management Jinan University Guangzhou510632 China Indianapolis United States Guangdong provincial key lab of IRADS BNU-HKBU United International College Zhuhai519087 China Institute of Automation Chinese Academy of Sciences Beijing100190 China Waytous Ltd. China

Intelligent vehicles (IVs) have gained worldwide attention due to their increased convenience, safety advantages, and potential commercial value. Despite predictions of commercial deployment by 2025, implementation remains limited to small-scale validation, with precise tracking controllers and motion planners being essential prerequisites for IVs. This paper reviews state-of-the-art motion planning methods for IVs, including pipeline planning and end-to-end planning methods. The study examines the selection, expansion, and optimization operations in a pipeline method, while it investigates training approaches and validation scenarios for driving tasks in end-to-end methods. Experimental platforms are reviewed to assist readers in choosing suitable training and validation strategies. A side-by-side comparison of the methods is provided to highlight their strengths and limitations, aiding system-level design choices. Current challenges and future perspectives are also discussed in this survey. Copyright © 2023, The Authors. All rights reserved.

关键词： Motion planning

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Deep learning Radiopathomics based on pretreatment MRI and whole slide images for predicting overall survival in locally advanced nasopharyngeal carcinoma

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Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology 2025年 209卷 110949页

作者： Xiaochun Yi Xiaoping Yu Congrui Li Junjian Li Hui Cao Qiang Lu Junjun Li Jing Hou Department of Diagnostic Radiology Hunan Cancer Hospital and the Affiliated Cancer Hospital of Xiangya School of Medicine Central South University Changsha 410013 Hunan PR China. Hunan Provincial Key Laboratory on Bioinformatics School of Computer Science and Engineering Central South University Changsha 410083 PR China. Department of Health Service Center Hunan Cancer Hospital and the Affiliated Cancer Hospital of Xiangya School of Medicine Central South University Changsha 410013 Hunan PR China. Department of Pathology Hunan Cancer Hospital and the Affiliated Cancer Hospital of Xiangya School of Medicine Central South University 283 Tongzipo Road Yuelu District Changsha Hunan 410013 PR China. Department of Diagnostic Radiology Hunan Cancer Hospital and the Affiliated Cancer Hospital of Xiangya School of Medicine Central South University Changsha 410013 Hunan PR China. Electronic address: houjing@***.

PURPOSE:To develop an integrative radiopathomic model based on deep learning to predict overall survival (OS) in locally advanced nasopharyngeal carcinoma (LANPC) patients. MATERIALS AND METHODS:A cohort of 343 LANPC patients with pretreatment MRI and whole slide image (WSI) were randomly divided into training (n = 202), validation (n = 91), and external test (n = 50) sets. For WSIs, a self-attention mechanism was employed to assess the significance of different patches for the prognostic task, aggregating them into a WSI-level representation. For MRI, a multilayer perceptron was used to encode the extracted radiomic features, resulting in an MRI-level representation. These were combined in a multimodal fusion model to produce prognostic predictions. Model performances were evaluated using the concordance index (C-index), and Kaplan-Meier curves were employed for risk stratification. To enhance model interpretability, attention-based and Integrated Gradients techniques were applied to explain how WSIs and MRI features contribute to prognosis predictions. RESULTS:The radiopathomics model achieved high predictive accuracy in predicting the OS, with a C-index of 0.755 (95 % CI: 0.673-0.838) and 0.744 (95 % CI: 0.623-0.808) in the training and validation sets, respectively, outperforming single-modality models (radiomic signature: 0.636, 95 % CI: 0.584-0.688; deep pathomic signature: 0.736, 95 % CI: 0.684-0.810). In the external test, similar findings were observed for the predictive performance of the radiopathomics, radiomic signature, and deep pathomic signature, with their C-indices being 0.735, 0.626, and 0.660 respectively. The radiopathomics model effectively stratified patients into high- and low-risk groups (P < 0.001). Additionally, attention heatmaps revealed that high-attention regions corresponded with tumor areas in both risk groups. CONCLUSIO:n: The radiopathomics model holds promise for predicting clinical outcomes in LANPC patients, offering a potential

关键词： Deep learning Digital pathology Magnetic resonance imaging Nasopharyngeal carcinoma Prognosis Risk stratification

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Fine-scale genetic structure of Tujia and central Han Chinese revealing massive genetic admixture under language borrowing

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植物分类学报 2021年第1期59卷 1-20页

作者： Guang-Lin He Ying-Xiang Li Meng-Ge Wang Xing Zou Hui-Yuan Yeh Xiao-Min Yang Zheng Wang Ren-Kuan Tang Su-Min Zhu Jian-Xin Guo Ting Luo Jing Zhao Jin Sun Zi-Yang Xia Hao-Liang Fan Rong Hu Lan-Hai Wei Gang Chen Yi-Ping Hou Chuan-Chao Wang Department of Anthropology and Ethnology Institute of AnthropologyNational Institute for Data Science in Health and Medicineand School of Life SciencesXiamen UniversityXiamen 361005FujianChina Institute of Forensic Medicine West China School of Basic Science and Forensic Medicine Sichuan UniversityChengdu 610041China Department of Anthropology and Ethnology Institute of AnthropologyNational Institute for Data Science in Health and Medicineand School of Life SciencesXiamen UniversityXiamen 361005FujianChina Institute of Forensic Medicine West China School of Basic Science and Forensic Medicine Sichuan UniversityChengdu 610041China Institute of Forensic Medicine West China School of Basic Science and Forensic Medicine Sichuan UniversityChengdu 610041China School of Humanities Nanyang Technological UniversityNanyang 639798Singapore Department of Anthropology and Ethnology Institute of AnthropologyNational Institute for Data Science in Health and Medicineand School of Life SciencesXiamen UniversityXiamen 361005FujianChina Institute of Forensic Medicine West China School of Basic Science and Forensic Medicine Sichuan UniversityChengdu 610041China Department of Forensic Medicine College of Basic Medicine Chongqing Medical UniversityChongqing 400000China Department of Forensic Medicine College of Basic Medicine Chongqing Medical UniversityChongqing 400000China Department of Anthropology and Ethnology Institute of AnthropologyNational Institute for Data Science in Health and Medicineand School of Life SciencesXiamen UniversityXiamen 361005FujianChina Department of Anthropology and Ethnology Institute of AnthropologyNational Institute for Data Science in Health and Medicineand School of Life SciencesXiamen UniversityXiamen 361005FujianChina Department of Anthropology and Ethnology Institute of AnthropologyNational Institute for Data Science in Health and Medicineand School of Life SciencesXiamen UniversityXiamen 361005FujianChina Department of Anthropology and Ethnology In

Archaeological,genetic,and linguistic evidence has supported the idea that northern China is the original center of modern Sino-Tibetan-speaking ***,the demographic history of subsequent southward migration and genetic admixture of Han Chinese with surrounding indigenous populations remain uncharacterized,and the language shifts and assimilations accompanied by movement of people,or just an adaptation of cultural ideas among populations in central China is still unclear,especially for Tibeto-Burman-speaking Tujia and central Han Chinese *** resolve this,we genotyped over 60K genome-wide markers in 505 unrelated individuals from 63 indigenous *** results showed both studied Han and Tujia were at the intermediate position in the modern East Asian North-South genetic cline and there was a correlation between the genetic composition and the *** observed the strong genetic assimilation between Tujia people and central Han Chinese,which suggested massive population movements and genetic admixture under language *** and central Han Chinese could be modeled as a two-way admixture deriving primary ancestry from a northern ancestral population closely related to the ancient DevilsCave and present-day Tibetans and a southern ancestral population closely related to the present-day Tai-Kadai and Austronesian-speaking *** ancestral northern population we suspect to be related to the Neolithic millet farming groups in the Yellow River Basin or central *** showed that the newly genotyped populations in Hubei Province had a higher proportion of DevilsCave or modern Tungusic/Mongolic-related northern ancestries,while the hunan populations harbored a higher proportion of Austronesian/Tai-Kadai-related southern ancestries.

关键词： demographic history gene flow genetic admixture language borrowing Tibeto-Burman Tujia

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Evaluation of fluorinated phospholipid analogs: A study on ADMET profiles, molecular docking and dynamics simulation in anticancer therapy

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Heliyon 2025年第2期11卷 e41739页

作者： Ishaq, Saqib Habib, Obaid Aziz, Abdul Tahir, Raheel Mushtaq, Hira Hassan, Said Sarwar, Sarah Mubarak, Mohammad S. Ahmad, Ajaz Ullah, Amin Guangdong Provincial Key Laboratory of System Biology and Synthetics Biology for Urogenital Tumors School of Basic Medicine Shenzhen University Medical School Shenzhen University (SZU) Guangdong China Department of Computer Sciences and Bioinformatics Khushal Khan Khattak University Khyber Pakhtunkhwa Karak Pakistan Department of Biotechnology and Genetic Engineering Kohat University of Science and Technology (KUST) KP Kohat Pakistan Centre of Biotechnology and Microbiology University of Peshawar Peshawar 25000 Pakistan Institute of Biotechnology and Microbiology Bacha Khan University Charsada Charsada 24550 Pakistan Department of Biochemistry Shaheed Benazir Bhutto Women University Peshawar Peshawar 25000 Pakistan Department of Chemistry Indiana University Bloomington Bloomington 47405 United States Department of Chemistry University of Jordan Amman 11942 Jordan Department of Clinical Pharmacy College of Pharmacy King Saud University Riyadh 11451 Saudi Arabia Department of Allied Health Sciences Molecular Biology Lab Iqra National University (INU) Peshawar Peshawar 25000 Pakistan

Fluorinated phospholipid analogs Edelfosine and Ilmofosine drug reveal expressive potential as antineoplastic factors though targeted interaction with heat shock protein (HSP70KDa1A), an essential mediator in cancer pathophysiology. Using evolved computational approaches, this research evaluated their ADMET (absorption, distribution, metabolism, excretion and toxicity) profiles receptor binding affinities and molecular dynamics. Molecular docking discernible vigorous interactions with Edelfosine drug displaying greater binding stability and consistent hydrogen bonding as confirmed by 100 ns molecular dynamics simulations. Comparative interpretation emphasized Edelfosine drug enhanced pharmacokinetic properties depicted by lower RMSD values, stable solvent-accessible surface area and reduced structural fluctuations relative to Ilmofosine drug. Functional annotation and phylogenetic investigation affirmed the evolutionary conservation and pivotal biological function of heat shock protein (HSP70KDa1A). These findings position Edelfosine drug as a promising candidate for targeted cancer therapy appropriated further experimental validation to elucidate its mechanisms of action and therapeutic efficacy. © 2025 The Authors

关键词： ADMET properties Admetsar CLC-Pred MD simulation Molecular docking Toxicity

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Interference-assisted kaleidoscopic meta-plexer for arbitrary spin-wavefront manipulation

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Light(science & Applications) 2019年第1期8卷 1141-1150页

作者： He-Xiu Xu Guangwei Hu Ying Li Lei Han Jianlin Zhao Yunming Sun Fang Yuan Guang-Ming Wang Zhi Hao Jiang Xiaohui Ling Tie Jun Cui Cheng-Wei Qiu Department of Electrical and Computer Engineering National University of SingaporeSingapore 117583Singapore Air and Missile Defense College Air force Engineering University710051 Xi’anChina Hunan Provincial Key Laboratory of Intelligent Information Processing and Applications College of Physics and Electronics EngineeringHengyang Normal University421008 HengyangChina School of Natural and Applied Sciences Northwestern Polytechnical University710072 Xi’anChina Advanced Technique Department Key Lab of Aeronautics Computing Technique710075 Xi’anChina State Key Laboratory of Millimeter Waves Southeast University210096 NanjingChina

Achieving simultaneous polarization and wavefront control,especially circular polarization with the auxiliary degree of freedom of light and spin angular momentum,is of fundamental importance in many optical *** are typically undesirable in highly integrated photonic circuits and ***,we propose an interference-assisted metasurface-multiplexer(meta-plexer)that counterintuitively exploits constructive and destructive interferences between hybrid meta-atoms and realizes independent spin-selective wavefront *** kaleidoscopic meta-plexers are experimentally demonstrated via two types of single-layer spinwavefront multiplexers that are composed of spatially rotated anisotropic *** type generates a spinselective Bessel-beam wavefront for spin-down light and a low scattering cross-section for stealth for spin-up *** other type demonstrates versatile control of the vortex wavefront,which is also characterized by the orbital angular momentum of light,with frequency-switchable numbers of beams under linearly polarized wave *** findings offer a distinct interference-assisted concept for realizing advanced multifunctional photonics with arbitrary and independent spin-wavefront features.A variety of applications can be readily anticipated in optical diodes,isolators,and spin-Hall meta-devices without cascading bulky optical elements.

关键词： arbitrary momentum versatile

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The safety detection for double tapered roller bearing based on deep learning 11th

The safety detection for double tapered roller bearing based...

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11th International Conference on Security, Privacy and Anonymity in Computation, Communication, and Storage, SpaCCS 2018

作者： Tao, Jie Zhang, Shaobo Yang, Dalian School of Computer Science and Engineering Hunan University of Science and Technology Xiangtan411201 China Hunan Provincial Key Laboratory of Health Maintenance for Mechanical Equipment Hunan University of Science and Technology Xiangtan411201 China

ISBN: (纸本)9783030053444

The double tapered roller bearing is widely used in mechanical equipment, due to its complex structure, traditional safety detection is difficult to recognize early weak fault. In order to solve this problem, a deep learning method for safety detection of roller bearing is put forward. In experiment, vibration signals of bearing are firstly separated into a series of intrinsic mode functions by empirical mode decomposition, then we extracted the transient energy to construct eigenvectors. In pattern recognition, deep learning method is used to generate safety detector by unsupervised study. There are three states rolling bearings in experiments, as normal, inner fault and outer fault. The results show that the proposed method is more stable and accurately to identify bearing faults, and the classification accuracy is 98%. © Springer Nature Switzerland AG 2018.

关键词： Empirical mode decomposition

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Multiple residual dense networks for reconfigurable intelligent surfaces cascaded channel estimation

arXiv

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arXiv 2021年

作者： Jin, Yu Zhang, Jiayi Huang, Chongwen Yang, Liang Xiao, Huahua Ai, Bo Wang, Zhiqin The School of Electronic and Information Engineering Beijing Jiaotong University Beijing100044 China The Frontiers Science Center for Smart High-speed Railway System Beijing Jiaotong University Beijing100044 China Zhejiang Provincial Key Lab of Information Processing Communication and Networking Zhejiang University Hangzhou310007 China College of Computer Science and Electronic Engineering Hunan University Changsha410082 China ZTE Corporation State Key Laboratory of Mobile Network Mobile Multimedia Technology Shenzhen518057 China State Key Laboratory of Rail Traffic Control and Safety Beijing Jiaotong University Beijing100044 China Henan Joint International Research Laboratory of Intelligent Networking and Data Analysis Zhengzhou University Zhengzhou450001 China Research Center of Networks and Communications Peng Cheng Laboratory Shenzhen518055 China China Academy of Information and Communications Technology Beijing100191 China

Reconfigurable intelligent surface (RIS) constitutes an essential and promising paradigm that relies programmable wireless environment and provides capability for space-intensive communications, due to the use of low-cost massive reflecting elements over the entire surfaces of man-made structures. However, accurate channel estimation is a fundamental technical prerequisite to achieve the huge performance gains from RIS. By leveraging the low rank structure of RIS channels, three practical residual neural networks, named convolutional blind denoising network, convolutional denoising generative adversarial networks and multiple residual dense network, are proposed to obtain accurate channel state information, which can reflect the impact of different methods on the estimation performance. Simulation results reveal the evolution direction of these three methods and reveal their superior performance compared with existing benchmark schemes. Copyright © 2021, The Authors. All rights reserved.

关键词： Channel estimation

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