high order models in semantic image segmentation

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High-Order Models in Semantic Image Segmentation
Author : Ismail Ben Ayed
Publisher : Academic Press
Release Date : 2018-10
ISBN 10 : 9780128053201
Pages : 250 pages
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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
Author : Leif Azzopardi,Benno Stein,Norbert Fuhr,Philipp Mayr,Claudia Hauff,Djoerd Hiemstra
Publisher : Springer
Release Date : 2019-04-06
ISBN 10 : 3030157121
Pages : 881 pages
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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.

Energy Minimization Methods in Computer Vision and Pattern Recognition
Author : Xue-Cheng Tai,Egil Bae,Tony F. Chan,Marius Lysaker
Publisher : Springer
Release Date : 2015-01-07
ISBN 10 : 3319146122
Pages : 506 pages
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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.
Author : Qiang Ji
Publisher : Academic Press
Release Date : 2019-12-12
ISBN 10 : 0128034955
Pages : 294 pages
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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

Progress in Pattern Recognition, Image Analysis and Applications
Author : Luis Rueda,Domingo Mery,Josef Kittler
Publisher : Springer
Release Date : 2007-11-13
ISBN 10 : 3540767258
Pages : 972 pages
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This book constitutes the refereed proceedings of the 12th Iberoamerican Congress on Pattern Recognition, CIARP 2007, held in Valparaiso, Chile, November 13-16, 2007. The 97 revised full papers presented together with four keynote articles were carefully reviewed and selected from 200 submissions. The papers cover ongoing research and mathematical methods for pattern recognition, image analysis, and applications in areas such as computer vision, robotics, industry and health.

Computer Vision – ECCV 2012
Author : Andrew Fitzgibbon,Svetlana Lazebnik,Pietro Perona,Yoichi Sato,Cordelia Schmid
Publisher : Springer
Release Date : 2012-09-26
ISBN 10 : 3642337090
Pages : 889 pages
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The seven-volume set comprising LNCS volumes 7572-7578 constitutes the refereed proceedings of the 12th European Conference on Computer Vision, ECCV 2012, held in Florence, Italy, in October 2012. The 408 revised papers presented were carefully reviewed and selected from 1437 submissions. The papers are organized in topical sections on geometry, 2D and 3D shapes, 3D reconstruction, visual recognition and classification, visual features and image matching, visual monitoring: action and activities, models, optimisation, learning, visual tracking and image registration, photometry: lighting and colour, and image segmentation.

Fifth International Conference on Image Processing and Its Applications
Author : N.A
Publisher : Inst of Engineering & Technology
Release Date : 1995
ISBN 10 :
Pages : 857 pages
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The proceedings of the July 1995 conference, organized by the Electronics Division of the Institution of Electrical Engineers, include three keynote addresses followed by technical papers on topics in image coding; labeling and classification; medical applications; motion, stereo, and 3D; image analysis; image interpretation; image coding and commu

Encyclopedia of Artificial Intelligence
Author : Stuart C. Shapiro,Stuart Charles Shapiro
Publisher : John Wiley & Sons
Release Date : 1992
ISBN 10 : 9780471503057
Pages : 1724 pages
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KDD ...
Author : N.A
Publisher : N.A
Release Date : 2005
ISBN 10 :
Pages : 329 pages
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Linguistics and Language Behavior Abstracts
Author : N.A
Publisher : N.A
Release Date : 1998
ISBN 10 :
Pages : 329 pages
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Computer Vision -- ECCV 2014
Author : David Fleet,Tomas Pajdla,Bernt Schiele,Tinne Tuytelaars
Publisher : Springer
Release Date : 2014-08-14
ISBN 10 : 331910599X
Pages : 832 pages
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The seven-volume set comprising LNCS volumes 8689-8695 constitutes the refereed proceedings of the 13th European Conference on Computer Vision, ECCV 2014, held in Zurich, Switzerland, in September 2014. The 363 revised papers presented were carefully reviewed and selected from 1444 submissions. The papers are organized in topical sections on tracking and activity recognition; recognition; learning and inference; structure from motion and feature matching; computational photography and low-level vision; vision; segmentation and saliency; context and 3D scenes; motion and 3D scene analysis; and poster sessions.