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检索条件"任意字段=1st International Conference on Image Processing Machine Learning and Pattern Recognition"
1536 条 记 录,以下是931-940 订阅
Local Binary Pattem Variants: A Review  1
Local Binary Pattem Variants: A Review
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1st international conference on Secure Cyber Computing and Communications, ICSCCC 2018
作者: Bedi, Anterpreet Kaur Sunkaria, Ramesh Kumar Randhawa, Simarjot Kaur Department of Electronics and Communication Engineering Dr. B. R. Ambedkar National Institute of Technology Jalandhar India
Local Binary pattern (LBP) is a non-parametric descriptor that is used to study various local structures of an image. It is considered as simple and efficient texture operator for image analysis in challenging real-ti... 详细信息
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Proceedings - 2018 1st Annual international conference on Information and Sciences, AiCIS 2018
Proceedings - 2018 1st Annual International Conference on In...
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1st Annual international conference on Information and Sciences, AiCIS 2018
The proceedings contain 48 papers. The topics discussed include: overview: 3D video from capture to display;speech emotion recognition using minimum extracted features;information technology as a strategic resource;el...
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Application of machine learning methods for traffic signs recognition
Application of machine learning methods for traffic signs re...
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international Automobile Scientific Forum (IASF) Intelligent Transport Systems
作者: Filatov, D., V Ignatev, K., V Deviatkin, A., V Serykh, E., V V Ulyanov Lenin St Petersburg State Electrotech U Prof Popova Ul St Petersburg 197376 Russia
This paper focuses on solving a relevant and pressing safety issue on intercity roads. Two approaches were considered for solving the problem of traffic signs recognition;the approaches involved neural networks to ana... 详细信息
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Surface-Based Brain Morphometry for the Prediction of Fluid Intelligence in the Neurocognitive Prediction Challenge 2019  1
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1st Challenge in Adolescent Brain Cognitive Development Neurocognitive Prediction, ABCD-NP 2019, held in conjunction with the 22nd international conference on Medical image Computing and Computer Assisted Intervention, MICCAI 2019
作者: Rebsamen, Michael Rummel, Christian Mürner-Lavanchy, Ines Reyes, Mauricio Wiest, Roland McKinley, Richard University Institute of Diagnostic and Interventional Neuroradiology University of Bern Inselspital Bern University Hospital Bern Switzerland Graduate School for Cellular and Biomedical Sciences University of Bern Bern Switzerland University Hospital of Child and Adolescent Psychiatry and Psychotherapy University of Bern Bern Switzerland Healthcare Imaging A.I. Lab Insel Data Science Center Inselspital Bern University Hospital Bern Switzerland
Brain morphometry derived from structural magnetic resonance imaging is a widely used quantitative biomarker in neuroimaging studies. In this paper, we investigate its usefulness for the Neurocognitive Prediction Chal... 详细信息
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Industrial Monitoring Using image processing, IoT and Analyzing the Sensor Values Using Big Data  1
Industrial Monitoring Using Image Processing, IoT and Analyz...
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1st international conference on Robotics and Smart Manufacturing (RoSMa)
作者: Rukmani, P. Teja, Gunda Krishna Vinay, M. Sai Reddy, Bhanu Prakash K. VIT Chennai 600127 Tamil Nadu India
In this modem era, monitoring of industrial parameters like temperature reading of the respective machines, voltage supply to the equipment, inside environment of the industry, pressure level, inventory monitoring and... 详细信息
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Electricity Theft Detection to Reduce Non-Technical Loss using Support Vector machine in Smart Grid
Electricity Theft Detection to Reduce Non-Technical Loss usi...
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international conference on Advances in Science, Engineering and Robotics Technology
作者: Rafia Nishat Toma Abdullah-Al Nahid Md Nazmul Hasan Bo Li Electronics and Communication Engineering Discipline Khulna University Automation Dept. Beijing University of Posts and Telecommunications
Among the various reason behind Non-technical losses in smart grid, losses due to electricity theft have become major apprehension in power system industries. A significant amount of consumption of electricity in a fr... 详细信息
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Security Enhancement in Healthcare Cloud using machine learning  1
Security Enhancement in Healthcare Cloud using Machine Learn...
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1st international conference on Intelligent Computing in Data Sciences (ICDS)
作者: Marwan, Mbarek Kartit, Ali Ouahmane, Hassan Chouaib Doukkali Univ LTI Lab ENSA Ave Jabran Khalil JabranBP 299 El Jadida Morocco
image processing requires sophisticated platform because it is usually very expensive in terms of memory space and computational time. Consequentely, it is important to adopt economical solutions to replace traditiona... 详细信息
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Lung Cancer Detection in CT Scans of Patients Using image processing and machine learning Technique  1st
Lung Cancer Detection in CT Scans of Patients Using Image Pr...
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1st international conference on Advanced Computational and Communication Paradigms (ICACCP)
作者: Sharma, Karan Soni, Harshil Agarwal, Kushika Syst Level Solut I Pvt Ltd Vu Nagar 388121 Gujarat India Sikkim Manipal Inst Technol Dept CSE Sikkim India
Detection of abnormalities in lung CT scans has always remained limited to experiences of a radiologist and capability of devices used for scanning. Again, the tremendous increase in CT data has increased the demand o... 详细信息
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A Novel Adaptive Segmentation Method Based on Legendre Polynomials Approximation  1st
A Novel Adaptive Segmentation Method Based on Legendre Polyn...
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1st Chinese conference on pattern recognition and Computer Vision (PRCV)
作者: Chen, Bo Zhang, Mengyun Chen, Wensheng Pan, Binbin Li, Lihong C. Wei, Xinzhou Shenzhen Univ Coll Math & Stat Shenzhen Key Lab Adv Machine Learning & Applicat Shenzhen 518060 Peoples R China Shenzhen Univ Shenzhen Key Lab Media Secur Shenzhen 518060 Peoples R China CUNY Coll Staten Isl Dept Engn Sci & Phys Staten Isl NY 10314 USA New York City Coll Technol Dept Elect Engn Tech Brooklyn NY 11201 USA
Active contour models have been extensively applied to image processing and computer vision. In this paper, we present a novel adaptive method combines the advantages of the SBGFRLS model and GAC model. It can segment... 详细信息
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Intelligent recognition of electrocardiograms using selective neuron networks and deep learning  1st
Intelligent recognition of electrocardiograms using selectiv...
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1st international conference of Artificial Intelligence, Medical Engineering, and Education, AIMEE 2017
作者: Mazurov, M. Russian Economic University Moscow Russia
Proposed basic elements of neuron networks – selective neurons and selective perceptron. Shown the efficiency of the use of these elements of neuron networks for many known applications of neuron networks: image reco... 详细信息
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