High Order Models In Semantic Image Segmentation

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High Order Models In Semantic Image Segmentation

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Author : Ismail Ben Ayed
language : en
Publisher: Academic Press
Release Date : 2023-06-22

High Order Models In Semantic Image Segmentation written by Ismail Ben Ayed and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-06-22 with Technology & Engineering categories.

High-Order Models in Semantic Image Segmentation reviews recent developments in optimization-based methods for image segmentation, presenting several geometric and mathematical models that underlie a broad class of recent segmentation techniques. Focusing on impactful algorithms in the computer vision community in the last 10 years, the book includes sections on graph-theoretic and continuous relaxation techniques, which can compute globally optimal solutions for many problems. The book provides a practical and accessible introduction to these state-of -the-art segmentation techniques that is ideal for academics, industry researchers, and graduate students in computer vision, machine learning and medical imaging. - Gives an intuitive and conceptual understanding of this mathematically involved subject by using a large number of graphical illustrations - Provides the right amount of knowledge to apply sophisticated techniques for a wide range of new applications - Contains numerous tables that compare different algorithms, facilitating the appropriate choice of algorithm for the intended application - Presents an array of practical applications in computer vision and medical imaging - Includes code for many of the algorithms that is available on the book's companion website

Advances In Information Retrieval

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Author : Leif Azzopardi
language : en
Publisher: Springer
Release Date : 2019-04-06

Advances In Information Retrieval written by Leif Azzopardi and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-04-06 with Computers categories.

This two-volume set LNCS 11437 and 11438 constitutes the refereed proceedings of the 41st European Conference on IR Research, ECIR 2019, held in Cologne, Germany, in April 2019. The 48 full papers presented together with 2 keynote papers, 44 short papers, 8 demonstration papers, 8 invited CLEF papers, 11 doctoral consortium papers, 4 workshop papers, and 4 tutorials were carefully reviewed and selected from 365 submissions. They were organized in topical sections named: Modeling Relations; Classification and Search; Recommender Systems; Graphs; Query Analytics; Representation; Reproducibility (Systems); Reproducibility (Application); Neural IR; Cross Lingual IR; QA and Conversational Search; Topic Modeling; Metrics; Image IR; Short Papers; Demonstration Papers; CLEF Organizers Lab Track; Doctoral Consortium Papers; Workshops; and Tutorials.

Science And Technologies For Smart Cities

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Author : Sara Paiva
language : en
Publisher: Springer Nature
Release Date : 2022-06-16

Science And Technologies For Smart Cities written by Sara Paiva and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-06-16 with Computers categories.

This book constitutes the refereed proceedings of the 7th Annual SmartCity360° Summit which was organized in November 2021 in Porto, Portugal. Due to COVID-19 pandemic the conference was held virtually. The volume combines selected papers of 6 conferences, namely EdgeIoT 2021 - International Conference on Intelligent Edge Processing in the IoT Era; IC4S 2021 - International Conference on Cognitive Computing and Cyber Physical Systems; SmartGov 2021 - International Conference on Smart Governance for Sustainable Smart Cities; SmartGift 2021 - International Conference on Smart Grid and Innovative Frontiers in Telecommunications; e PFSM 2021 - International Conference on Privacy and Forensics in Smart Mobility. The 45 full papers were carefully selected from 109 submissions. The papers are organized in four thematic sections on Smart Grid and Innovative Frontiers in Telecommunications; Smart Governance for Sustainable Smart Cities; Privacy and Forensics in Smart Mobility; and Sensor Systems and Software.

Pattern Recognition And Computer Vision

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Author : Qingshan Liu
language : en
Publisher: Springer Nature
Release Date : 2023-12-25

Pattern Recognition And Computer Vision written by Qingshan Liu and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-12-25 with Computers categories.

The 13-volume set LNCS 14425-14437 constitutes the refereed proceedings of the 6th Chinese Conference on Pattern Recognition and Computer Vision, PRCV 2023, held in Xiamen, China, during October 13–15, 2023. The 532 full papers presented in these volumes were selected from 1420 submissions. The papers have been organized in the following topical sections: Action Recognition, Multi-Modal Information Processing, 3D Vision and Reconstruction, Character Recognition, Fundamental Theory of Computer Vision, Machine Learning, Vision Problems in Robotics, Autonomous Driving, Pattern Classification and Cluster Analysis, Performance Evaluation and Benchmarks, Remote Sensing Image Interpretation, Biometric Recognition, Face Recognition and Pose Recognition, Structural Pattern Recognition, Computational Photography, Sensing and Display Technology, Video Analysis and Understanding, Vision Applications and Systems, Document Analysis and Recognition, Feature Extraction and Feature Selection, Multimedia Analysis and Reasoning, Optimization and Learning methods, Neural Network and Deep Learning, Low-Level Vision and Image Processing, Object Detection, Tracking and Identification, Medical Image Processing and Analysis.

Energy Minimization Methods In Computer Vision And Pattern Recognition

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Author : Xue-Cheng Tai
language : en
Publisher: Springer
Release Date : 2015-01-07

Energy Minimization Methods In Computer Vision And Pattern Recognition written by Xue-Cheng Tai and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-01-07 with Computers categories.

This volume constitutes the refereed proceedings of the 10th International Conference on Energy Minimization Methods in Computer Vision and Pattern Recognition, EMMCVPR 2015, held in Hong Kong, China, in January 2015. The 36 revised full papers were carefully reviewed and selected from 45 submissions. The papers are organized in topical sections on discrete and continuous optimization; image restoration and inpainting; segmentation; PDE and variational methods; motion, tracking and multiview reconstruction; statistical methods and learning; and medical image analysis.

Probabilistic Graphical Models For Computer Vision

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Author : Qiang Ji
language : en
Publisher: Academic Press
Release Date : 2019-12-12

Probabilistic Graphical Models For Computer Vision written by Qiang Ji and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-12-12 with Technology & Engineering categories.

Probabilistic Graphical Models for Computer Vision introduces probabilistic graphical models (PGMs) for computer vision problems and teaches how to develop the PGM model from training data. This book discusses PGMs and their significance in the context of solving computer vision problems, giving the basic concepts, definitions and properties. It also provides a comprehensive introduction to well-established theories for different types of PGMs, including both directed and undirected PGMs, such as Bayesian Networks, Markov Networks and their variants. - Discusses PGM theories and techniques with computer vision examples - Focuses on well-established PGM theories that are accompanied by corresponding pseudocode for computer vision - Includes an extensive list of references, online resources and a list of publicly available and commercial software - Covers computer vision tasks, including feature extraction and image segmentation, object and facial recognition, human activity recognition, object tracking and 3D reconstruction

Efficient Artificial Intelligence Ai In Ophthalmic Imaging

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Author : Yanda Meng
language : en
Publisher: Frontiers Media SA
Release Date : 2025-01-07

Efficient Artificial Intelligence Ai In Ophthalmic Imaging written by Yanda Meng and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-07 with Medical categories.

Ophthalmic imaging techniques, such as optical coherence tomography (OCT), OCT angiography (OCTA), fundus photography, and fluorescein angiography, generate vast amounts of visual data, allowing for a detailed examination of the eye's structure and function. These images provide invaluable insights into the presence and progression of various ocular diseases, such as age-related macular degeneration, diabetic retinopathy, and glaucoma. While ophthalmologists possess expertise in interpreting these images, the manual analysis of large datasets can be time-consuming, prone to errors, and subject to inter-observer variability. Artificial Intelligence (AI) based approaches have emerged as promising tools to augment the diagnostic capabilities of ophthalmologists, enabling faster and more accurate assessments. This proposal aims to explore and develop innovative approaches, including but not limited to transfer learning, activate learning, semi-supervised learning, weakly supervised learning, meta-learning, graph neural networks, multimodal learning, and federated learning, etc. to enhance the efficiency and effectiveness of AI in ophthalmic imaging. This collection aims to promote research that improves the accuracy, scalability, interpretability, and generalization of AI models for ophthalmic imaging. This Research Topic welcomes manuscripts on the following themes: ● Annotation-efficient AI: Manual data annotation is a labor-intensive and time consuming process that often poses challenges in terms of scalability, cost, and subjectivity. This topic aims to explore innovative approaches and techniques to develop annotation-efficient AI models that can leverage minimal data annotation while maintaining high performance and generalization, such as activate learning, semi-/weakly/un-/self-supervised learning, etc.

Pricai 2018 Trends In Artificial Intelligence

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Author : Xin Geng
language : en
Publisher: Springer
Release Date : 2018-07-30

Pricai 2018 Trends In Artificial Intelligence written by Xin Geng and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-07-30 with Computers categories.

This two-volume set, LNAI 11012 and 11013, constitutes the thoroughly refereed proceedings of the 15th Pacific Rim Conference on Artificial Intelligence, PRICAI 2018, held in Nanjing, China, in August 2018. The 82 full papers and 58 short papers presented in these volumes were carefully reviewed and selected from 382 submissions. PRICAI covers a wide range of topics such as AI theories, technologies and their applications in the areas of social and economic importance for countries in the Pacific Rim.

Pattern Recognition

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Author : Axel Pinz
language : en
Publisher: Springer
Release Date : 2012-08-14

Pattern Recognition written by Axel Pinz and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-08-14 with Computers categories.

This book constitutes the refereed proceedings of the 34th Symposium of the German Association for Pattern Recognition, DAGM 2012, and the 36th Symposium of the Austrian Association for Pattern Recognition, OAGM 2012, held in Graz, Austria, in August 2012. The 27 revised full papers and 23 revised poster papers were carefully reviewed and selected from 98 submissions. The papers are organized in topical sections on segmentation, low-level vision, 3D reconstruction, recognition, applications, learning, and features.

Data Science

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Author : Xiaohui Cheng
language : en
Publisher: Springer Nature
Release Date : 2019-09-13

Data Science written by Xiaohui Cheng and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-09-13 with Computers categories.

This two volume set (CCIS 1058 and 1059) constitutes the refereed proceedings of the 5th International Conference of Pioneering Computer Scientists, Engineers and Educators, ICPCSEE 2019 held in Guilin, China, in September 2019. The 104 revised full papers presented in these two volumes were carefully reviewed and selected from 395 submissions. The papers cover a wide range of topics related to basic theory and techniques for data science including data mining; data base; net work; security; machine learning; bioinformatics; natural language processing; software engineering; graphic images; system; education; application.