322 results
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302. Pattern Recognition. ICPR International Workshops and Challenges : Virtual Event, January 10–15, 2021, Proceedings, Part IV
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Alberto Del Bimbo, Rita Cucchiara, Stan Sclaroff, Giovanni Maria Farinella, Tao Mei, Marco Bertini, Hugo Jair Escalante, Roberto Vezzani, Alberto Del Bimbo, Rita Cucchiara, Stan Sclaroff, Giovanni Maria Farinella, Tao Mei, Marco Bertini, Hugo Jair Escalante, and Roberto Vezzani
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- Image processing—Digital techniques, Computer vision, Education—Data processing, Machine learning, Computers, Data mining, Computer networks
- Abstract
This 8-volumes set constitutes the refereed of the 25th International Conference on Pattern Recognition Workshops, ICPR 2020, held virtually in Milan, Italy and rescheduled to January 10 - 11, 2021 due to Covid-19 pandemic. The 416 full papers presented in these 8 volumes were carefully reviewed and selected from about 700 submissions. The 46 workshops cover a wide range of areas including machine learning, pattern analysis, healthcare, human behavior, environment, surveillance, forensics and biometrics, robotics and egovision, cultural heritage and document analysis, retrieval, and women at ICPR2020.
- Published
- 2021
303. Spatial Data and Intelligence : First International Conference, SpatialDI 2020, Virtual Event, May 8–9, 2020, Proceedings
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Xiaofeng Meng, Xing Xie, Yang Yue, Zhiming Ding, Xiaofeng Meng, Xing Xie, Yang Yue, and Zhiming Ding
- Subjects
- Application software, Image processing—Digital techniques, Computer vision, Computer networks, Computer systems, Machine learning
- Abstract
This book constitutes the proceedings of the First International Conference on Spatial Data and Intelligence, SpatialDI 2020, which was held on May 8-9, 2020. The conference was planned to take place in Shenzhen, China, and changed to an online format due to the COVID-19 pandemic. The 21 full papers presented in this volume were carefully reviewed and selected from 50 submissions. They were organized in topical sections named: traffic management; data science; and visualization science.
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- 2021
304. Pattern Recognition. ICPR International Workshops and Challenges : Virtual Event, January 10–15, 2021, Proceedings, Part II
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Alberto Del Bimbo, Rita Cucchiara, Stan Sclaroff, Giovanni Maria Farinella, Tao Mei, Marco Bertini, Hugo Jair Escalante, Roberto Vezzani, Alberto Del Bimbo, Rita Cucchiara, Stan Sclaroff, Giovanni Maria Farinella, Tao Mei, Marco Bertini, Hugo Jair Escalante, and Roberto Vezzani
- Subjects
- Computer vision, Application software, Machine learning, Education—Data processing
- Abstract
This 8-volumes set constitutes the refereed of the 25th International Conference on Pattern Recognition Workshops, ICPR 2020, held virtually in Milan, Italy and rescheduled to January 10 - 11, 2021 due to Covid-19 pandemic. The 416 full papers presented in these 8 volumes were carefully reviewed and selected from about 700 submissions. The 46 workshops cover a wide range of areas including machine learning, pattern analysis, healthcare, human behavior, environment, surveillance, forensics and biometrics, robotics and egovision, cultural heritage and document analysis, retrieval, and women at ICPR2020.
- Published
- 2021
305. Computational Science and Its Applications – ICCSA 2021 : 21st International Conference, Cagliari, Italy, September 13–16, 2021, Proceedings, Part II
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Osvaldo Gervasi, Beniamino Murgante, Sanjay Misra, Chiara Garau, Ivan Blečić, David Taniar, Bernady O. Apduhan, Ana Maria A.C. Rocha, Eufemia Tarantino, Carmelo Maria Torre, Osvaldo Gervasi, Beniamino Murgante, Sanjay Misra, Chiara Garau, Ivan Blečić, David Taniar, Bernady O. Apduhan, Ana Maria A.C. Rocha, Eufemia Tarantino, and Carmelo Maria Torre
- Subjects
- Computer networks, Application software, Computer vision, Machine learning, Computer systems, Pattern recognition systems
- Abstract
The ten-volume set LNCS 12949 – 12958 constitutes the proceedings of the 21st International Conference on Computational Science and Its Applications, ICCSA 2021, which was held in Cagliari, Italy, during September 13 – 16, 2021. The event was organized in a hybrid mode due to the Covid-19 pandemic.The 466 full and 18 short papers presented in these proceedings were carefully reviewed and selected from 1588 submissions. The books cover such topics as multicore architectures, mobile and wireless security, sensor networks, open source software, collaborative and social computing systems and tools, cryptography, human computer interaction, software design engineering, and others. Part II of the set follows two generaltracks: geometric modeling, graphics and visualization; advanced and emerging applications. Further sections include the proceedings of the workshops: International Workshop on Advanced Transport Tools and Methods (A2TM 2021); International Workshop on Advances in Artificial Intelligence Learning Technologies: Blended Learning, STEM, Computational Thinking and Coding (AAILT 2021); International Workshop on Advancements in Applied Machine-learning and Data Analytics (AAMDA 2021). At the end of the book there is a block of short papers.The chapter'Spatial justice models: an exploratory analysis on fair distribution of opportunities'is published open access under a CC BY license (Creative Commons Attribution 4.0 International License).
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- 2021
306. Pattern Recognition : 42nd DAGM German Conference, DAGM GCPR 2020, Tübingen, Germany, September 28 – October 1, 2020, Proceedings
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Zeynep Akata, Andreas Geiger, Torsten Sattler, Zeynep Akata, Andreas Geiger, and Torsten Sattler
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- Pattern recognition systems, Machine learning, Data structures (Computer science), Information theory, Application software, Computer science—Mathematics
- Abstract
This book constitutes the refereed proceedings of the 42nd German Conference on Pattern Recognition, DAGM GCPR 2020, which took place during September 28 until October 1, 2020. The conference was planned to take place in Tübingen, Germany, but had to change to an online format due to the COVID-19 pandemic.The 34 papers presented in this volume were carefully reviewed and selected from a total of 89 submissions. They were organized in topical sections named: Normalizing Flow, Semantics, Physics, Camera Calibration and Computer Vision, Pattern Recognition, Machine Learning.
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- 2021
307. Intelligent Data Engineering and Automated Learning – IDEAL 2021 : 22nd International Conference, IDEAL 2021, Manchester, UK, November 25–27, 2021, Proceedings
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Hujun Yin, David Camacho, Peter Tino, Richard Allmendinger, Antonio J. Tallón-Ballesteros, Ke Tang, Sung-Bae Cho, Paulo Novais, Susana Nascimento, Hujun Yin, David Camacho, Peter Tino, Richard Allmendinger, Antonio J. Tallón-Ballesteros, Ke Tang, Sung-Bae Cho, Paulo Novais, and Susana Nascimento
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- Data mining, Machine learning, Software engineering, Education—Data processing, Computer vision
- Abstract
This book constitutes the refereed proceedings of the 22nd International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2021, which took place during November 25-27, 2021. The conference was originally planned to take place in Manchester, UK, but was held virtually due to the COVID-19 pandemic.The 61 full papers included in this book were carefully reviewed and selected from 85 submissions. They deal with emerging and challenging topics in intelligent data analytics and associated machine learning paradigms and systems. Special sessions were held on clustering for interpretable machine learning; machine learning towards smarter multimodal systems; and computational intelligence for computer vision and image processing.
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- 2021
308. Radiomics and Radiogenomics in Neuro-oncology : First International Workshop, RNO-AI 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13, 2019, Proceedings
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Hassan Mohy-ud-Din, Saima Rathore, Hassan Mohy-ud-Din, and Saima Rathore
- Subjects
- Computer vision, Machine learning, Computer networks, Application software, Pattern recognition systems
- Abstract
This book constitutes the proceedings of the First International Workshop on Radiomics and Radiogenomics in Neuro-oncology, RNO-AI 2019, which was held in conjunction with MICCAI in Shenzhen, China, in October 2019. The 10 full papers presented in this volume were carefully reviewed and selected from 15 submissions. They deal with the development of tools that can automate the analysis and synthesis of neuro-oncologic imaging.
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- 2020
309. Computer Vision for Autonomous Vehicles : Problems, Datasets and State of the Art
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Joel Janai, Fatma Güney, Aseem Behl, Andreas Geiger, Joel Janai, Fatma Güney, Aseem Behl, and Andreas Geiger
- Subjects
- Automobiles--Automatic control, Automated vehicles, Computer vision, Machine learning
- Abstract
Recent years have witnessed enormous progress in AI-related fields such as computer vision, machine learning, and autonomous vehicles. As with any rapidly growing field, it becomes increasingly difficult to stay up-to-date or enter the field as a beginner. While several survey papers on particular sub-problems have appeared, no comprehensive survey on problems, datasets, and methods in computer vision for autonomous vehicles has been published. This monograph attempts to narrow this gap by providing a survey on the state-of-the-art datasets and techniques. Our survey includes both the historically most relevant literature as well as the current state of the art on several specific topics, including recognition, reconstruction, motion estimation, tracking, scene understanding, and end-to-end learning for autonomous driving. Towards this goal, we analyze the performance of the state of the art on several challenging benchmarking datasets, including KITTI, MOT, and Cityscapes. Besides, we discuss open problems and current research challenges. To ease accessibility and accommodate missing references, we also provide a website that allows navigating topics as well as methods and provides additional information.
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- 2020
310. Computer Vision and Graphics : International Conference, ICCVG 2020, Warsaw, Poland, September 14–16, 2020, Proceedings
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Leszek J. Chmielewski, Ryszard Kozera, Arkadiusz Orłowski, Leszek J. Chmielewski, Ryszard Kozera, and Arkadiusz Orłowski
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- Computer vision, Machine learning, Computer networks, Computer systems, Database management, Image processing—Digital techniques
- Abstract
This book constitutes the refereed proceedings of the International Conference on Computer Vision and Graphics, ICCVG 2020, held in Warsaw, Poland, in September 2020. The 20 full papers were selected from 49 submissions. The contributions cover topics such as: modelling of human visual perception; computational geometry; geometrical models of objects and scenes; illumination and reflection models and methods; image formation; image and video coding; image filtering and enhancement; biomedical image processing; biomedical graphics; colour image processing; multispectral image processing; pattern recognition in image processing; scene understanding; motion analysis, visual navigation and active vision; human motion detection and analysis; visualisation and graphical data presentation; hardware and architectures for image processing; computer-aided graphic design; 3D imaging, shading and rendering; computer animation; graphics for internet and mobile systems; virtual reality; image andvideo databases; digital watermarking; multimedia applications; and computer art. Due to the Corona pandemic ICCVG 2020 was held as a virtual event.
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- 2020
311. PyTorch Computer Vision Cookbook : Over 70 Recipes to Master the Art of Computer Vision with Deep Learning and PyTorch 1.x
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Michael Avendi and Michael Avendi
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- Python (Computer program language), Machine learning, Computer vision
- Abstract
Discover powerful ways to use deep learning algorithms and solve real-world computer vision problems using Python Key Features Solve the trickiest of problems in computer vision by combining the power of deep learning and neural networks Leverage PyTorch 1.x capabilities to perform image classification, object detection, and more Train and deploy enterprise-grade, deep learning models for computer vision applications Book Description Computer vision techniques play an integral role in helping developers gain a high-level understanding of digital images and videos. With this book, you'll learn how to solve the trickiest problems in computer vision (CV) using the power of deep learning algorithms, and leverage the latest features of PyTorch 1.x to perform a variety of CV tasks. Starting with a quick overview of the PyTorch library and key deep learning concepts, the book then covers common and not-so-common challenges faced while performing image recognition, image segmentation, object detection, image generation, and other tasks. Next, you'll understand how to implement these tasks using various deep learning architectures such as convolutional neural networks (CNNs), recurrent neural networks (RNNs), long short-term memory (LSTM), and generative adversarial networks (GANs). Using a problem-solution approach, you'll learn how to solve any issue you might face while fine-tuning the performance of a model or integrating it into your application. Later, you'll get to grips with scaling your model to handle larger workloads, and implementing best practices for training models efficiently. By the end of this CV book, you'll be proficient in confidently solving many CV related problems using deep learning and PyTorch. What you will learn Develop, train and deploy deep learning algorithms using PyTorch 1.x Understand how to fine-tune and change hyperparameters to train deep learning algorithms Perform various CV tasks such as classification, detection, and segmentation Implement a neural style transfer network based on CNNs and pre-trained models Generate new images and implement adversarial attacks using GANs Implement video classification models based on RNN, LSTM, and 3D-CNN Discover best practices for training and deploying deep learning algorithms for CV applications Who this book is for Computer vision professionals, data scientists, deep learning engineers, and AI developers looking for quick solutions for various computer vision problems will find this book useful. Intermediate-level knowledge of computer vision concepts, along with Python programming experience is required.Michael Avendi is a principal data scientist with vast experience in deep learning, computer vision, and medical imaging analysis. He works on the research and development of data-driven algorithms for various imaging problems, including medical imaging applications. His research papers have been published in major medical journals, including the Medical Imaging Analysis journal. Michael Avendi is an active Kaggle participant and was awarded a top prize in a Kaggle competition in 2017.
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- 2020
312. Supervised and Unsupervised Learning for Data Science
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Michael W. Berry, Azlinah Mohamed, Bee Wah Yap, Michael W. Berry, Azlinah Mohamed, and Bee Wah Yap
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- Machine learning, Supervised learning (Machine learning)
- Abstract
This book covers the state of the art in learning algorithms with an inclusion of semi-supervised methods to provide a broad scope of clustering and classification solutions for big data applications. Case studies and best practices are included along with theoretical models of learning for a comprehensive reference to the field. The book is organized into eight chapters that cover the following topics: discretization, feature extraction and selection, classification, clustering, topic modeling, graph analysis and applications. Practitioners and graduate students can use the volume as an important reference for their current and future research and faculty will find the volume useful for assignments in presenting current approaches to unsupervised and semi-supervised learning in graduate-level seminar courses. The book is based on selected, expanded papers from the Fourth International Conference on Soft Computing in Data Science (2018).Includes new advances in clustering and classification using semi-supervised and unsupervised learning;Address new challenges arising in feature extraction and selection using semi-supervised and unsupervised learning;Features applications from healthcare, engineering, and text/social media mining that exploit techniques from semi-supervised and unsupervised learning.
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- 2020
313. Image and Signal Processing : 9th International Conference, ICISP 2020, Marrakesh, Morocco, June 4–6, 2020, Proceedings
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Abderrahim El Moataz, Driss Mammass, Alamin Mansouri, Fathallah Nouboud, Abderrahim El Moataz, Driss Mammass, Alamin Mansouri, and Fathallah Nouboud
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- Computer vision, Machine learning, Computer networks, Computer engineering
- Abstract
This volume constitutes the refereed proceedings of the 9th International Conference on Image and Signal Processing, ICISP 2020, which was due to be held in Marrakesh, Morocco, in June 2020. The conference was cancelled due to the COVID-19 pandemic.The 40 revised full papers were carefully reviewed and selected from 84 submissions. The contributions presented in this volume were organized in the following topical sections: digital cultural heritage & color and spectral imaging; data and image processing for precision agriculture; machine learning application and innovation; biomedical imaging; deep learning and applications; pattern recognition; segmentation and retrieval; mathematical imaging & signal processing.
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- 2020
314. Medical Image Understanding and Analysis : 23rd Conference, MIUA 2019, Liverpool, UK, July 24–26, 2019, Proceedings
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Yalin Zheng, Bryan M. Williams, Ke Chen, Yalin Zheng, Bryan M. Williams, and Ke Chen
- Subjects
- Computer vision, Machine learning, Pattern recognition systems, Bioinformatics
- Abstract
This book constitutes the refereed proceedings of the 23rd Conference on Medical Image Understanding and Analysis, MIUA 2019, held in Liverpool, UK, in July 2019. The 43 full papers presented were carefully reviewed and selected from 70 submissions. There were organized in topical sections named: oncology and tumour imaging; lesion, wound and ulcer analysis; biostatistics; fetal imaging; enhancement and reconstruction; diagnosis, classification and treatment; vessel and nerve analysis; image registration; image segmentation; ophthalmic imaging; and posters.
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- 2020
315. Heterogeneous Facial Analysis and Synthesis
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Yi Li, Huaibo Huang, Ran He, Tieniu Tan, Yi Li, Huaibo Huang, Ran He, and Tieniu Tan
- Subjects
- Computer vision, Pattern recognition systems, Machine learning
- Abstract
This book presents a comprehensive review of heterogeneous face analysis and synthesis, ranging from the theoretical and technical foundations to various hot and emerging applications, such as cosmetic transfer, cross-spectral hallucination and face rotation. Deep generative models have been at the forefront of research on artificial intelligence in recent years and have enhanced many heterogeneous face analysis tasks. Not only has there been a constantly growing flow of related research papers, but there have also been substantial advances in real-world applications. Bringing these together, this book describes both the fundamentals and applications of heterogeneous face analysis and synthesis. Moreover, it discusses the strengths and weaknesses of related methods and outlines future trends. Offering a rich blend of theory and practice, the book represents a valuable resource for students, researchers and practitioners who need to construct face analysis systems with deep generative networks.
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- 2020
316. Transactions on Edutainment XVI
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Zhigeng Pan, Adrian David Cheok, Wolfgang Müller, Mingmin Zhang, Zhigeng Pan, Adrian David Cheok, Wolfgang Müller, and Mingmin Zhang
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- Computer vision, Computer engineering, Computer networks, Database management, Social sciences—Data processing, Machine learning, Pattern recognition systems
- Abstract
This journal subline serves as a forum for stimulating and disseminating innovative research ideas, theories, emerging technologies, empirical investigations, state-of-the-art methods, and tools in all different genres of edutainment, such as game-based learning and serious games, interactive storytelling, virtual learning environments, VR-based education, and related fields. It covers aspects from educational and game theories, human-computer interaction, computer graphics, artificial intelligence, and systems design. The 27 papers presented in this issue were organized in topical sections named: e-learning and on-line apps; image and graphics; VR/AR; CV and AI; and animation and miscellaneous.
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- 2020
317. Advanced Concepts for Intelligent Vision Systems : 20th International Conference, ACIVS 2020, Auckland, New Zealand, February 10–14, 2020, Proceedings
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Jacques Blanc-Talon, Patrice Delmas, Wilfried Philips, Dan Popescu, Paul Scheunders, Jacques Blanc-Talon, Patrice Delmas, Wilfried Philips, Dan Popescu, and Paul Scheunders
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- Computer vision, Computer engineering, Computer networks, Application software, Machine learning, Education—Data processing, Social sciences—Data processing
- Abstract
This book constitutes the proceedings of the 20th INternational Conference on Advanced Concepts for Intelligent Vision Systems, ACIVS 2020, held in Auckland, New Zealand, in February 2020. The 48 papers presented in this volume were carefully reviewed and selected from a total of 78 submissions. They were organized in topical sections named: deep learning; biomedical image analysis; biometrics and identification; image analysis; image restauration, compression and watermarking; tracking, and mapping and scene analysis.
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- 2020
318. Machine Learning and Information Processing : Proceedings of ICMLIP 2019
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Debabala Swain, Prasant Kumar Pattnaik, Pradeep K. Gupta, Debabala Swain, Prasant Kumar Pattnaik, and Pradeep K. Gupta
- Subjects
- Computational intelligence, Machine learning, Computer vision, User interfaces (Computer systems), Human-computer interaction
- Abstract
This book includes selected papers from the International Conference on Machine Learning and Information Processing (ICMLIP 2019), held at ISB&M School of Technology, Pune, Maharashtra, India, from December 27 to 28, 2019. It presents the latest developments and technical solutions in the areas of advanced computing and data sciences, covering machine learning, artificial intelligence, human–computer interaction, IoT, deep learning, image processing and pattern recognition, and signal and speech processing.
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- 2020
319. Big Data : 7th CCF Conference, BigData 2019, Wuhan, China, September 26–28, 2019, Proceedings
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Hai Jin, Xuemin Lin, Xueqi Cheng, Xuanhua Shi, Nong Xiao, Yihua Huang, Hai Jin, Xuemin Lin, Xueqi Cheng, Xuanhua Shi, Nong Xiao, and Yihua Huang
- Subjects
- Big data, Computer networks, Machine learning, Image processing—Digital techniques, Computer vision, Computer systems
- Abstract
This book constitutes the proceedings of the 7th CCF Conference on Big Data, BigData 2019, held in Wuhan, China, in October 2019.The 30 full papers presented in this volume were carefully reviewed and selected from 324 submissions. They were organized in topical sections as follows: big data modelling and methodology; big data support and architecture; big data processing; big data analysis; and big data application.
- Published
- 2019
320. Recent Developments in Machine Learning and Data Analytics : IC3 2018
- Author
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Jugal Kalita, Valentina Emilia Balas, Samarjeet Borah, Ratika Pradhan, Jugal Kalita, Valentina Emilia Balas, Samarjeet Borah, and Ratika Pradhan
- Subjects
- Machine learning
- Abstract
This book presents high-quality papers from an international forum for research on computational approaches to learning. It includes current research and findings from various research labs, universities and institutions that may lead to development of marketable products. It also provides solid support for these findings in the form of empirical studies, theoretical analysis, or comparison to psychological phenomena. Further, it features work that shows how to apply learning methods to solve important application problems as well as how machine learning research is conducted. The book is divided into two main parts: Machine Learning Techniques, which covers machine learning-related research and findings; and, Data Analytics, which introduces recent developments in this domain. Additionally, the book includes work on data analytics using machine learning techniques.
- Published
- 2019
321. Database and Expert Systems Applications : DEXA 2019 International Workshops BIOKDD, IWCFS, MLKgraphs and TIR, Linz, Austria, August 26–29, 2019, Proceedings
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Gabriele Anderst-Kotsis, A Min Tjoa, Ismail Khalil, Mourad Elloumi, Atif Mashkoor, Johannes Sametinger, Xabier Larrucea, Anna Fensel, Jorge Martinez-Gil, Bernhard Moser, Christin Seifert, Benno Stein, Michael Granitzer, Gabriele Anderst-Kotsis, A Min Tjoa, Ismail Khalil, Mourad Elloumi, Atif Mashkoor, Johannes Sametinger, Xabier Larrucea, Anna Fensel, Jorge Martinez-Gil, Bernhard Moser, Christin Seifert, Benno Stein, and Michael Granitzer
- Subjects
- Database management, Data mining, Information storage and retrieval systems, Machine learning, Data protection, Computer vision
- Abstract
This volume constitutes the refereed proceedings of the four workshops held at the 30th International Conference on Database and Expert Systems Applications, DEXA 2019, held in Linz, Austria, in August 2019: The 10th International Workshop on Biological Knowledge Discovery from Data, BIOKDD 2019, the 3rd International Workshop on Cyber-Security and Functional Safety in Cyber-Physical Systems, IWCFS 2019, the 1st International Workshop on Machine Learning and Knowledge Graphs, MLKgraphs2019, and the 16th International Workshop on Technologies for Information Retrieval, TIR 2019. The 26 selected papers discuss a range of topics including: knowledge discovery, biological data, cyber security, cyber-physical system, machine learning, knowledge graphs, information retriever, data base, and artificial intelligent.
- Published
- 2019
322. Intelligent Data Engineering and Automated Learning -- IDEAL 2012 : 13th International Conference, Natal, Brazil, August 29-31, 2012, Proceedings
- Author
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Hujun Yin, Jose A.F. Costa, Guilherme Barreto, Hujun Yin, Jose A.F. Costa, and Guilherme Barreto
- Subjects
- Conference proceedings, Machine learning--Congresses, Computer algorithms--Congresses, Data mining--Congresses, Database management--Congresses, Computer algorithms, Data mining, Database management, Machine learning
- Abstract
This book constitutes the refereed proceedings of the 13th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2012, held in Natal, Brazil, in August 2012. The 100 revised full papers presented were carefully reviewed and selected from more than 200 submissions for inclusion in the book and present the latest theoretical advances and real-world applications in computational intelligence.
- Published
- 2012
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