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Medical Image computing and Computer-Assisted Intervention – MICCAI 2009 1

引用

丛书名： Lecture Notes in Computer Science

1000年

作者： Guang-Zhong Yang David Hawkes Daniel Rueckert Alison Noble Chris Taylor

ISBN: (数字)9783642042713

ISBN: (纸本)9783642042706

the two-volume set LNCS 5761 and LNCS 5762 constitute the refereed proceedings of the 12th international conference on Medical Image computing and Computer-Assisted Intervention, MICCAI 2009, held in London, UK, in September 2009. Based on rigorous peer reviews, the program committee carefully selected 259 revised papers from 804 submissions for presentation in two volumes. the second volume includes 134 papers divided in topical sections on shape modelling and analysis; motion analyysis, physical based modelling and image reconstruction; neuro, cell and multiscale image analysis; image analysis and computer aided diagnosis; and image segmentation and analysis.

关键词： Image Processing and Computer Vision Simulation and Modeling User Interfaces and Human Computer Interaction Computer Imaging, Vision, pattern recognition and Graphics Artificial Intelligence Imaging / Radiology

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H-CE: An Event Correlation Discriminant Model Based on Event Composition Features and Embedded Representation 12

H-CE: An Event Correlation Discriminant Model Based on Event...

引用

12th international conference of Information and Communication Technology, ICTech 2023

作者： Chen, Xiaowei Sun, Huajun Yu, Bihui Shenyang Institute of Computing Technology Chinese Academy of Sciences Shenyang110168 China University of Chinese Academy of Sciences Beijing100049 China

ISBN: (纸本)9798350332919

Finding a relationship between events and mining particular event types between events are the two objectives of the event correlation identification work. the approach put out in this research is capable of processing and analyzing the structured text representation content of events, such as control and monitoring on the Internet of things, and it can also carry out Event Correlation Analysis in Collaborative Processes in Industrialization Scenarios. Previous studies mostly dealt with unstructured text data and employed techniques like event extraction, relation extraction, and deep learning models for correlation analysis. Since the data in this study is structured and categorized by different event kinds, it is challenging to utilize a deep learning model to directly analyze the relationships between events. therefore, this paper first constructs a data set of character behavior characteristics (GKD-BehaviorData) and proposes a general event representation method. then, based on the previous research on case reasoning and machine learning, a hybrid computing method (Hybrid-Composition&Embedding Method, H-CE) based on event composition features and knowledge embedding is proposed. the results of the studies show that this method is noticeably superior to the event correlation calculation method based on event correlation characteristics, with improvements in the acc and F1 values of 17.4% and 19.7%, respectively. © 2023 IEEE.

关键词： Extraction

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Practically Adopting Human Activity recognition 23

Practically Adopting Human Activity Recognition

引用

29th Annual international conference on Mobile computing and Networking, MobiCom 2023

作者： Xu, Huatao Zhou, Pengfei Tan, Rui Li, Mo Nanyang Technological University Singapore60005510 Singapore University of Pittsburgh Pittsburgh60015543 United States The Hong Kong University of Science and Technology Hong Kong Hong Kong

ISBN: (纸本)9781450399906

Existing inertial measurement unit (IMU) based human activity recognition (HAR) approaches still face a major challenge when adopted across users in practice. the severe heterogeneity in IMU data significantly undermines model generalizability in wild adoption. this paper presents UniHAR, a universal HAR framework for mobile devices. To address the challenge of data heterogeneity, we thoroughly study augmenting data with the physics of the IMU sensing process and present a novel adoption of data augmentations for exploiting both unlabeled and labeled data. We consider two application scenarios of UniHAR, which can further integrate federated learning and adversarial training for improved generalization. UniHAR is fully prototyped on the mobile platform and introduces low overhead to mobile devices. Extensive experiments demonstrate its superior performance in adapting HAR models across four open datasets. © 2023 ACM.

关键词： pattern recognition

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proceedings of the 12th IEEE international conference on Fuzzy Systems (Cat. No.03CH37442)

Proceedings of the 12th IEEE International Conference on Fuz...

引用

IEEE international conference on Fuzzy Systems (FUZZ-IEEE)

the following topics are dealt with: fuzzy logic; control; mobile robots; optimization; computing with words; human interfaces; neural networks and evolutionary hybrids; data mining; information retrieval; pattern rec...

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Recognizing facial expressions by spatio-temporal analysis

Recognizing facial expressions by spatio-temporal analysis

引用

international conference on pattern recognition

作者： Y. Yaccob L. Davis Comput. Vision Lab. Maryland Univ. College Park MD USA Computer Vision Laboratory University of Maryland College Park MD USA

An approach for analysis and representation of facial dynamics for recognition of facial expressions from image sequences is proposed. the algorithms the authors develop utilize optical flow computation to identify the direction of rigid and non-rigid motions that are caused by human facial expressions. A mid-level symbolic representation that is motivated by linguistic and psychological considerations is developed. Recognizing six facial expressions, as well as eye blinking, are demonstrated on a collection of image sequences.

关键词： Face recognition Mouth Psychology Image sequences Optical computing Image motion analysis Humans Terminology Contracts Optical noise

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Algorithms and Discrete Applied Mathematics 1

引用

丛书名： Lecture Notes in Computer Science

1000年

作者： Amitabha Bagchi Rahul Muthu

this book constitutes the proceedings of the 9th international conference on Algorithms and Discrete Applied Mathematics, CALDAM 2023, which was held in Gandhinagar, India, during February 9-11, 2023.

ISBN: (数字)9783031252112

ISBN: (纸本)9783031252105

关键词： Mathematics of computing Algorithm Analysis and Problem Complexity Computer Imaging, Vision, pattern recognition and Graphics Data Structures

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Machine Learning Based Algorithm for Earthquake Monitoring 12

Machine Learning Based Algorithm for Earthquake Monitoring

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12th IEEE international conference on Communication Systems and Network Technologies, CSNT 2023

作者： Varshney, Neeraj Kumar, Gaurav Kumar, Ankit Pandey, Saroj Kumar Singh, Teekam Singh, Kamred Udham Gla University Department of Computer Engineering & Apllications UP Mathura India Graphic Era Deemed to Be University Dehradun Department of Computer Science and Engineering India Graphic Era Hill University School of Computing Dehradun India

ISBN: (纸本)9781665462617

In this paper, we are trying to predict the Earthquake before it happens using seismic indicators anywhere around the world. It is an important task, on detecting seismic events from seismic time series using machine learning techniques. When we train a dataset for any one location it should also be applicable to detect at the other locations. Earthquakes are one of the most dangerous and deadly natural disasters. It is very important for the safety of all human beings as well as all the animals living on the planet to predict the earthquake way before it is going to happen. the population of the earth is increasing at a very rapid rate so the human population is also settling in the areas where the region is at very high risk of earthquakes which also causes more people to be affected by the impact of the earthquakes and more people to die. During this research various machine learning techniques were used such as Support Vector Machine, Random Forest, Neural Network, Convolutional Neural Network, Quantum Machine Learning, K-Nearest Neighbor, Machine Learning Risk Prediction Algorithm, Deep learning Model, and Regression. © 2023 IEEE.

关键词： Earthquakes

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Policy-based Role and Access Modeling 12

Policy-based Role and Access Modeling

引用

12th IEEE international conference on Intelligent Data Acquisition and Advanced computing Systems: Technology and Applications, IDAACS 2023

作者： Ayman, Noha Kiryakos, Mariam Sabty, Caroline El Bolock, Alia Abdennadher, Slim German International University Informatics and Computer Science Cairo Egypt Swansea University Swansea United Kingdom

ISBN: (纸本)9798350358056

In this paper, we present an approach based on Attribute Based Access Control (ABAC) and Risk Adaptive Access Control (RAdAC) to improve the reliability of the risk assessment and authorization process. the model has been designed to adapt to the complex and ever-changing nature of modern campus networks by incorporating location information. this added layer of risk assessment enhances the ABAC model by adding a level of authorization to it. © 2023 IEEE.

关键词： Attribute Based Access Control (ABAC) policy Risk Adaptive Access Control (RAdAC)

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Rough Sets, Fuzzy Sets, Data Mining and Granular computing 1

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丛书名： Lecture Notes in Computer Science

1000年

作者： Hiroshi Sakai Mihir Kumar Chakraborty Aboul Ella Hassanien Dominik Ślęzak William Zhu

ISBN: (数字)9783642106460

ISBN: (纸本)9783642106453

this book constitutes the refereed proceedings of the 12th international conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular computing, RSFDGrC 2009, held in Delhi, India in December 2009 in conjunction with the third international conference on pattern recognition and Machine Intelligence, PReMI 2009. RSFDGrC 2009 is the core component of a broader Rough Set Year in India initiative, RSIndia09. the 56 revised full papers presented together with 6 invited papers and a report on the Rough Set Year in India 2009 project were carefully reviewed and selected from a total of 130 submissions. the papers are organized in topical sections on foundations of rough sets and beyond; rought set algorithms and applications; fuzzy set foundations and applications; data mining and knowledge discovery; clustering and current trends in computing; and information retrieval and text mining.

关键词： Artificial Intelligence Discrete Mathematics Mathematics of computing Database Management Data Mining and Knowledge Discovery Information Storage and Retrieval

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A Crawler Detection Method for the College Entrance Examination Information Website 12

A Crawler Detection Method for The College Entrance Examinat...

引用

12th international conference of Information and Communication Technology, ICTech 2023

作者： Chen, YaoYao Fan, Yue Li, Xin Zhang, YongHong Shenyang Institute of Computing Technology Chinese Academy of Sciences Shenyang China University of Chinese Academy of Sciences Beijing China Criminal Investigation Police University of China Shenyang China Shandong University Laboratory of Big Data and Artificial Intelligence Technology Jinan China Institute of Future Artificial Intelligence Technology and Innovative Applications Beijing China

ISBN: (纸本)9798350332919

the college entrance examination information website provides users with a variety of college entrance examination data that can be used for reference. Due to the public nature of the website and the large scale of the data, it is vulnerable to attacks by web crawlers, which can threaten the stability of the website and the security of the data, so it is especially important to effectively control the crawlers on the college entrance examination information website. In this paper, we propose a crawler detection method for the college entrance examination information website. Firstly, we set multi-level access frequency thresholds to screen out users who may have crawling behavior, and then we detect and identify suspicious users' access according to the characteristics of college entrance examination information website crawlers by SVM, and finally identify the real web crawlers and prohibit them from accessing the college entrance examination information website. through experiments, it is proved that this method can effectively detect a large part of crawlers and ensure the data security of the college entrance examination information website. © 2023 IEEE.

关键词： Websites

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