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Book
Imaging, Vision and Learning Based on Optimization and PDEs : IVLOPDE, Bergen, Norway, August 29 – September 2, 2016
Authors: --- ---
ISBN: 3319912747 3319912739 Year: 2018 Publisher: Cham : Springer International Publishing : Imprint: Springer,

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Abstract

This volume presents the peer-reviewed proceedings of the international conference Imaging, Vision and Learning Based on Optimization and PDEs (IVLOPDE), held in Bergen, Norway, in August/September 2016. The contributions cover state-of-the-art research on mathematical techniques for image processing, computer vision and machine learning based on optimization and partial differential equations (PDEs). It has become an established paradigm to formulate problems within image processing and computer vision as PDEs, variational problems or finite dimensional optimization problems. This compact yet expressive framework makes it possible to incorporate a range of desired properties of the solutions and to design algorithms based on well-founded mathematical theory. A growing body of research has also approached more general problems within data analysis and machine learning from the same perspective, and demonstrated the advantages over earlier, more established algorithms. This volume will appeal to all mathematicians and computer scientists interested in novel techniques and analytical results for optimization, variational models and PDEs, together with experimental results on applications ranging from early image formation to high-level image and data analysis.

Keywords

Image processing --- Digital techniques. --- Mathematics. --- Digital image processing --- Digital electronics --- Computer vision. --- Optical pattern recognition. --- Computer science --- Mathematical optimization. --- Differential equations, partial. --- Computer graphics. --- Image Processing and Computer Vision. --- Pattern Recognition. --- Computational Mathematics and Numerical Analysis. --- Optimization. --- Partial Differential Equations. --- Computer Graphics. --- Automatic drafting --- Graphic data processing --- Graphics, Computer --- Computer art --- Graphic arts --- Electronic data processing --- Engineering graphics --- Partial differential equations --- Optimization (Mathematics) --- Optimization techniques --- Optimization theory --- Systems optimization --- Mathematical analysis --- Maxima and minima --- Operations research --- Simulation methods --- System analysis --- Computer mathematics --- Discrete mathematics --- Optical data processing --- Pattern perception --- Perceptrons --- Visual discrimination --- Machine vision --- Vision, Computer --- Artificial intelligence --- Pattern recognition systems --- Digital techniques --- Mathematics --- Optical data processing. --- Pattern recognition. --- Computer mathematics. --- Partial differential equations. --- Design perception --- Pattern recognition --- Form perception --- Perception --- Figure-ground perception --- Optical computing --- Visual data processing --- Bionics --- Integrated optics --- Photonics --- Computers --- Optical equipment


Digital
Imaging, Vision and Learning Based on Optimization and PDEs : IVLOPDE, Bergen, Norway, August 29 – September 2, 2016
Authors: --- ---
ISBN: 9783319912745 Year: 2018 Publisher: Cham Springer International Publishing

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Abstract

This volume presents the peer-reviewed proceedings of the international conference Imaging, Vision and Learning Based on Optimization and PDEs (IVLOPDE), held in Bergen, Norway, in August/September 2016. The contributions cover state-of-the-art research on mathematical techniques for image processing, computer vision and machine learning based on optimization and partial differential equations (PDEs). It has become an established paradigm to formulate problems within image processing and computer vision as PDEs, variational problems or finite dimensional optimization problems. This compact yet expressive framework makes it possible to incorporate a range of desired properties of the solutions and to design algorithms based on well-founded mathematical theory. A growing body of research has also approached more general problems within data analysis and machine learning from the same perspective, and demonstrated the advantages over earlier, more established algorithms. This volume will appeal to all mathematicians and computer scientists interested in novel techniques and analytical results for optimization, variational models and PDEs, together with experimental results on applications ranging from early image formation to high-level image and data analysis.


Book
Energy Minimization Methods in Computer Vision and Pattern Recognition : 10th International Conference, EMMCVPR 2015, Hong Kong, China, January 13-16, 2015. Proceedings
Authors: --- --- ---
ISBN: 9783319146126 3319146114 9783319146119 3319146122 Year: 2015 Publisher: Cham : Springer International Publishing : Imprint: Springer,

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Abstract

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.

Keywords

Computer Science. --- Pattern Recognition. --- Performance and Reliability. --- Image Processing and Computer Vision. --- Algorithm Analysis and Problem Complexity. --- Data Mining and Knowledge Discovery. --- Computer science. --- Operating systems (Computers). --- Computer software. --- Data mining. --- Computer vision. --- Optical pattern recognition. --- Informatique --- Systèmes d'exploitation (Ordinateurs) --- Logiciels --- Exploration de données (Informatique) --- Vision par ordinateur --- Reconnaissance optique des formes (Informatique) --- Engineering & Applied Sciences --- Electrical & Computer Engineering --- Electrical Engineering --- Computer Science --- Machine vision --- Vision, Computer --- Algorithmic knowledge discovery --- Factual data analysis --- KDD (Information retrieval) --- Knowledge discovery in data --- Knowledge discovery in databases --- Mining, Data --- Software, Computer --- Computer operating systems --- Computers --- Disk operating systems --- Informatics --- Operating systems --- Computer software --- Algorithms. --- Image processing. --- Pattern recognition. --- Reusability. --- Database searching --- Science --- Design perception --- Pattern recognition --- Form perception --- Perception --- Figure-ground perception --- Pictorial data processing --- Picture processing --- Processing, Image --- Imaging systems --- Optical data processing --- Algorism --- Algebra --- Arithmetic --- Reusability of software --- Reusable code (Computer programs) --- Software reusability --- Software reengineering --- Generic programming (Computer science) --- Foundations --- Artificial intelligence --- Image processing --- Pattern recognition systems --- Systems software --- Computer systems --- Pattern perception --- Perceptrons --- Visual discrimination --- Optical pattern recognition --- Computer software—Reusability. --- Optical data processing. --- Optical computing --- Visual data processing --- Bionics --- Electronic data processing --- Integrated optics --- Photonics --- Optical equipment --- Pattern perception.


Digital
Energy Minimization Methods in Computer Vision and Pattern Recognition : 10th International Conference, EMMCVPR 2015, Hong Kong, China, January 13-16, 2015. Proceedings
Authors: --- --- ---
ISBN: 9783319146126 9783319146133 9783319146119 Year: 2015 Publisher: Cham Springer International Publishing

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Abstract

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.


Book
Scale Space and Variational Methods in Computer Vision : Second International Conference, SSVM 2009, Voss, Norway, June 1-5, 2009. Proceedings
Authors: --- --- --- ---
ISBN: 9783642022562 Year: 2009 Publisher: Berlin Heidelberg Springer Berlin Heidelberg

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Abstract

This book constitutes the refereed proceedings of the Second International Conference on Scale Space Methods and Variational Methods in Computer Vision, SSVM 2009, emanated from the joint edition of the 5th International Workshop on Variational, Geometric and Level Set Methods in Computer Vision, VLSM 2009 and the 7th International Conference on Scale Space and PDE Methods in Computer Vision, Scale-Space 2009, held in Voss, Norway in June 2009. The 71 revised full papers presented were carefully reviewed and selected numerous submissions. The papers are organized in topical sections on segmentation and detection; image enhancement and reconstruction; motion analysis, optical flow, registration and tracking; surfaces and shapes; scale space and feature extraction.


Digital
Scale Space and Variational Methods in Computer Vision : Second International Conference, SSVM 2009, Voss, Norway, June 1-5, 2009. Proceedings

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