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检索条件"任意字段=2021 10th International Conference on Computing and Pattern Recognition"

共 1673 条记录，以下是101-110 订阅

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Proceedings - 2021 IEEE 10th international conference on Intelligent computing and Information Systems, ICICIS 2021

Proceedings - 2021 IEEE 10th International Conference on Int...

引用

10th IEEE international conference on Intelligent computing and Information Systems, ICICIS 2021

ISBN: (纸本)9781665440769

the proceedings contain 71 papers. the topics discussed include: extracting software design from text: a machine learning approach;deep reinforcement learning based actor-critic framework for decision-making actions in production scheduling;model-based test case generation approach for mobile applications load testing using OCL enhanced activity diagrams;deep learning achievements and opportunities in domain of electronic warfare applications;a proposed approach to secure automated teller machine-based financial transactions;astronomical image denoising based on convolutional neural network;an improved deep learning model for early fire and smoke detection on edge vision unit;long-term person re-identification model with a strong feature extractor;satellite imagery road segmentation using a dual network approach with enhancement blocks;multi-limb split learning for tumor classification on vertically distributed data;deep learning methodologies for human activity recognition;unlocking the public perception of COVID-19 vaccination process on social media;and identification of a new topology to enhance the impedance extraction in microfluidic systems.

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Face recognition using Convolutional Neural Network in Machine Learning 10

Face Recognition using Convolutional Neural Network in Machi...

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10th international conference on System Modeling and Advancement in Research Trends, SMART 2021

作者： Shukla, Ratnesh Kumar Sengar, Alok Singh Gupta, Anurag Jain, Arpit Kumar, Abhilash Vishnoi, Navneet Kumar College of Computing Science Information Technology Computer Science Engineering Moradabad India

ISBN: (纸本)9781665439701

Our sense of ourselves is inextricably linked to our looks. It's required for everyday interactions, communication, and other routine duties. Face recognition algorithms that are both durable and perfect are required to construct fully automated systems that analyse the data contained in face photographs, and a variety of methodologies are currently being used. Partial facial occlusion is one of the most difficult challenges in face recognition. In real-world applications, face recognition algorithms can recognize faces hidden under masks, scarves, or sunglasses, hands on the face, things carried by a person, or external sources. the outcome, when compared to other existing algorithms, produces the best results. When utilising the suggested dataset, they provide high accuracy and a low loss function. With both trainable and non-trainable parameters, the suggested model performs admirably. the above-average accuracy of 80% indicates a strong performance in facial recognition. Face recognition from video and photos is extremely important. © 2021 IEEE.

关键词： Face recognition

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Construction of a Liar Corpus and Detection of Lying Situations 10

Construction of a Liar Corpus and Detection of Lying Situati...

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Joint 10th international conference on Soft computing and Intelligent Systems (SCIS) / 19th international Symposium on Advanced Intelligent Systems (ISIS)

作者： Takabatake, Shohei Shimada, Kazutaka Saitoh, Takeshi Kyushu Inst Technol Dept Artificial Intelligence Iizuka Fukuoka Japan Kyushu Inst Technol Dept Syst Design & Informat Iizuka Fukuoka Japan

ISBN: (纸本)9781538626337

Recognizing lies in human interaction is one of the most important and challenging tasks in artificial intelligence. For example, it leads to the development of a human-computer interaction system that detects a liar in a conversation. In another example, some systems in the future might occasionally need to tell a lie for not hurting user's feelings, namely a white lie for trouble-free conversations. In this paper, we construct a video corpus for developing a system that detects lies in conversations. the corpus consists of 540 question-answer pairs by 9 persons;270 true answers and 270 lies. We manually analyze the images in the corpus for recognizing lies. In addition, we apply machine learning techniques, support vector machines with local binary pattern features and geometric features, to our corpus. We discuss the results of the analysis of the corpus and the machine learning approaches to our corpus.

关键词： Lie Detection Corpus Local binary pattern (LBP) feature Geometric feature

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On robust rectification for uncalibrated images

On robust rectification for uncalibrated images

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10th international conference on Image Analysis and Processing, ICIAP 1999

作者： Isgrò, Francesco Trucco, Emanuele Department of Computing and Electrical Engineering Heriot-Watt University Edinburgh United Kingdom

ISBN: (纸本)0769500404

We present a robust algorithm performing uncalibrated rectification which does not require explicit computation of the epipolar geometry, and specifically of the fundamental matrix. Our algorithm exploits the fact that the fundamental matrix of a pair of rectified images has a particular known form. this allows us to set up a minimization that yields the rectifying homographies directly from image correspondences. Experimental results show that our method works even in the presence of noise, and can cope with inaccurate point correspondences. Robustness in the presence of wrong point correspondences is also addressed in this paper and a two-step outlier detector is described. © 1999 IEEE.

关键词： pattern recognition

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Abstract Vocabulary as Base for Training with pattern recognition EMG Control

Abstract Vocabulary as Base for Training with Pattern Recogn...

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10th international conference on Applied Human Factors and Ergonomics / AHFE international conferences on Usability and User Experience, and Human Factors and Assistive Technology

作者： Haring, Erik Van Akeleyen, Seth Vaes, Kristof Truijen, Steven Verwulgen, Stijn Univ Antwerp Dept Prod Dev Ambtmanstr 1 B-2000 Antwerp Belgium

ISBN: (纸本)9783030191351;9783030191344

the uprising of multi-channel wearable EMG sensors combined with machine learning pattern recognition algorithms offers the possibility to control multiple degree of freedom hand prosthetics. Such human-machine interaction systems require training from the user, mostly to link gestures with underlying EMG patterns. As intended end users have a missing hand, the question arises how to train them to use myo-electric prosthetics without instructing them to perform gestures;A key element to start training with pattern recognition EMG based prosthetic control is creating a shared vocabulary with the participant/patient. the shared vocabulary forms the base for the explanation and communication about the pattern recognition EMG. In this research an abstract form of communication based on animal sounds is used to form a shared vocabulary for a child with missing hands. We found that the abstract communication worked well and motivating when explaining pattern recognition EMG to a child. the communication tool that gives additional interaction makes the explanation much clearer since the participant starts directly with experiencing the pattern recognition EMG. Also, it is concluded that the abstract nature of the tested communication allows the participant to keep an open mind for gestures other than normal healthy hand movements when exploring the possible control contractions. thus, abstract based communication can offer benefits during the training with pattern recognition EMG.

关键词： EMG pattern recognition EMG Training Children Prosthetic control

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Biometric Identifier Based on Hand and Hand-Written Signature Contour Information 10

Biometric Identifier Based on Hand and Hand-Written Signatur...

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10th international conference on Contemporary computing (IC3)

作者： Pitters-Figueroa, Fernando A. Travieso, Carlos M. Dutta, Malay Kishore Singh, Anushikha Univ Las Palmas Gran Canaria IDETIC Signals & Commun Dept Las Palmas Gran Canaria Spain Amity Univ Dept Elect & Commun Engn Noida India

ISBN: (纸本)9781538630778

the present work presents a biometric identifier system using the combination of two different features: hands shape (finger lengths and width) and hand-written signature contour. Signature database contains 300 different signers with 24 signatures and the hand database has 144 owners with 10 images. the study covers three different classifiers: Hidden Markov Models (HMM), Support Vector Machines (SVM) and a combination of both using the Fisher Kernel. Systems are evaluated separately and in conjunction, giving in each case 100% of identification success rate for the combined classifier. the combination of features gives better results when reducing the training set than the independent systems.

关键词： biometrics identification hand shape handwritten signature classification pattern recognition

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Connotation, Characteristics, Function and Realization of Ubiquitous Learning 10

Connotation, Characteristics, Function and Realization of Ub...

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10th international conference on Educational and Information Technology (ICEIT)

作者： Liu Shuguang Zhang Xingxing Chen Wuyang Zhang Wenpu Huangshan Univ Sch Mech & Elect Engn Huangshan Peoples R China Xian Aerosp Automat Co Res & Dev Ctr Xian Peoples R China

ISBN: (数字)9781665422956

ISBN: (纸本)9781665422956

the progress of science and technology has brought profound influence to education, which makes human learning more convenient and effective. Ubiquitous computing technology makes ubiquitous learning (U-learning) possible. Under the ubiquitous environment, the learning style has gradually changed from traditional learning to U-learning. U-learning is a new learning paradigm which has been studied in China in recent years. the basic concepts of ubiquitous computing and ubiquitous learning are introduced, the connotation, characteristics and function of ubiquitous learning are discussed, and the technical realization approaches of ubiquitous learning are given.

关键词： ubiquitous computing ubiquitous learning learning innovation

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Raw Milk Quality Monitoring System 10

Raw Milk Quality Monitoring System

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10th Mediterranean conference on Embedded computing, MECO 2021

作者： Drekalovic, Natalija Faculty for International Economics Finances and Business Podgorica Montenegro

ISBN: (纸本)9780738133614

the paper proposes Internet of things (IoT) based solution for real-time raw milk quality and quantity parameters monitoring. the system uses a smart can to create an ecosystem that connects all stakeholders in milk production chain. Based on obtained measurement, each stakeholder is able to plan their activities improving the final product quality and reducing the production costs. © 2021 IEEE.

关键词： Internet of things

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Intensified Biological Signature recognition in the Wild: A Case Study 12

Intensified Biological Signature Recognition in the Wild: A ...

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12th international conference on computing Communication and Networking Technologies, ICCCNT 2021

作者： Gandhi, Vidhyotma Singh, Jaiteg Chitkara Institute of Engineering and Technology Chitkata University Punjab India

ISBN: (纸本)9781728185958

the biological signature recognition seems to be a solved problem, but when these systems are tested in the wild their accuracy collapsed abruptly. A case study of "Face recognition through Camera (FRTC)" was designed to make a state of art for biological signature recognition in the wild system with minimum data set required to provide the highest accuracy. the FRTC system was designed by integrating the best qualities of modern recognition systems present in recent times (OpenCV and Face API) to intensify the biological signature recognition in the wild. the case study FRTC would be tested with the classroom attendance without prior information to the students. It was expected that FRTC would be more accurate than OpenCV and Face API. the results have shown the FRTC is more accurate, 7.02% and ~1% than OpenCV and Face API respectively. © 2021 IEEE.

关键词： pattern matching

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Budget and Procurement Analytics using Open Government Data in thailand 10

Budget and Procurement Analytics using Open Government Data ...

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10th international conference on Ubi-media computing and Workshops (Ubi-Media)

作者： Surasvadi, Navaporn Saiprasert, Chalermpol thajchayapong, Suttipong Natl Sci & Technol Dev Agcy Natl Elect & Comp Technol Ctr NECTEC Pathum Thani Thailand

ISBN: (纸本)9781538627617

this paper proposes an open government data (OGD) analytics system for discovering patterns in budget requests and procurement data of government agencies. the proposed OGD analytics system is part of an ongoing project to pioneer possible use cases of OGD in thailand. Experiments are conducted with budget and procurement data of government agencies for the fiscal years of 2013-2017. Part of our results have already been publicized on the website of thailand's Bureau of the Budget. Furthermore, four interesting patterns of government spending are found in the data and their possible implications are discussed. We anticipate that this paper will serve as an example on how government data in thailand can be used to support e-government strategies to further deliver information to citizens.

关键词： Open Government Data E-government Budget Request Government Procurement Data Analytics pattern Detection

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