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Energy Minimization Methods in Computer Vision and Pattern Recognition [[electronic resource] ] : 10th International Conference, EMMCVPR 2015, Hong Kong, China, January 13-16, 2015. Proceedings / / edited by Xue-Cheng Tai, Egil Bae, Tony F. Chan, Marius Lysaker
Energy Minimization Methods in Computer Vision and Pattern Recognition [[electronic resource] ] : 10th International Conference, EMMCVPR 2015, Hong Kong, China, January 13-16, 2015. Proceedings / / edited by Xue-Cheng Tai, Egil Bae, Tony F. Chan, Marius Lysaker
Edizione [1st ed. 2015.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015
Descrizione fisica 1 online resource (X, 506 p. 179 illus.) : online resource
Disciplina 006.42
Collana Image Processing, Computer Vision, Pattern Recognition, and Graphics
Soggetto topico Pattern recognition
Computer software—Reusability
Optical data processing
Algorithms
Data mining
Pattern Recognition
Performance and Reliability
Image Processing and Computer Vision
Algorithm Analysis and Problem Complexity
Data Mining and Knowledge Discovery
ISBN 3-319-14612-2
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Discrete and continuous optimization -- Image restoration and inpainting -- Segmentation -- PDE and variational methods -- Motion, tracking and multiview reconstruction -- Statistical methods and learning -- Medical image analysis.
Record Nr. UNISA-996198835103316
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Energy Minimization Methods in Computer Vision and Pattern Recognition : 10th International Conference, EMMCVPR 2015, Hong Kong, China, January 13-16, 2015. Proceedings / / edited by Xue-Cheng Tai, Egil Bae, Tony F. Chan, Marius Lysaker
Energy Minimization Methods in Computer Vision and Pattern Recognition : 10th International Conference, EMMCVPR 2015, Hong Kong, China, January 13-16, 2015. Proceedings / / edited by Xue-Cheng Tai, Egil Bae, Tony F. Chan, Marius Lysaker
Edizione [1st ed. 2015.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015
Descrizione fisica 1 online resource (X, 506 p. 179 illus.) : online resource
Disciplina 006.42
Collana Image Processing, Computer Vision, Pattern Recognition, and Graphics
Soggetto topico Pattern recognition
Computer software—Reusability
Optical data processing
Algorithms
Data mining
Pattern Recognition
Performance and Reliability
Image Processing and Computer Vision
Algorithm Analysis and Problem Complexity
Data Mining and Knowledge Discovery
ISBN 3-319-14612-2
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Discrete and continuous optimization -- Image restoration and inpainting -- Segmentation -- PDE and variational methods -- Motion, tracking and multiview reconstruction -- Statistical methods and learning -- Medical image analysis.
Record Nr. UNINA-9910483763703321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Imaging, Vision and Learning Based on Optimization and PDEs : IVLOPDE, Bergen, Norway, August 29 – September 2, 2016 / / edited by Xue-Cheng Tai, Egil Bae, Marius Lysaker
Imaging, Vision and Learning Based on Optimization and PDEs : IVLOPDE, Bergen, Norway, August 29 – September 2, 2016 / / edited by Xue-Cheng Tai, Egil Bae, Marius Lysaker
Edizione [1st ed. 2018.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018
Descrizione fisica 1 online resource (viii, 255 pages)
Disciplina 621.367
Collana Mathematics and Visualization
Soggetto topico Optical data processing
Pattern recognition
Computer mathematics
Mathematical optimization
Partial differential equations
Computer graphics
Image Processing and Computer Vision
Pattern Recognition
Computational Mathematics and Numerical Analysis
Optimization
Partial Differential Equations
Computer Graphics
ISBN 3-319-91274-7
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Part I Image Reconstruction from Incomplete Data: 1 Adaptive Regularization for Image Reconstruction from Subsampled Data: M. Hintermüller et al -- 2 A Convergent Fixed-Point Proximity Algorithm Accelerated by FISTA for the l_0 Sparse Recovery Problem: X. Zeng et al -- 3 Sparse-Data Based 3D Surface Reconstruction for Cartoon and Map: B. Wu et al -- Part II Image Enhancement, Restoration and Registration: 4 Variational Methods for Gamut Mapping in Cinema and Television: S. Waqas Zamir et al -- 5 Functional Lifting for Variational Problems with Higher-Order Regularization: B. Loewenhauser et al -- 6 On the Convex Model of Speckle Reduction: F. Fang et al -- Part III 3D Image Understanding and Classification: 7 Multi-Dimensional Regular Expressions for Object Detection with LiDAR Imaging: T.C. Torgersen et al -- 8 Relaxed Optimisation for Tensor Principal Component Analysis and Applications to Recognition, Compression and Retrieval of Volumetric Shapes: H. Itoh et al -- Part IV Machine Learning and Big Data Analysis: 9 An Incremental Reseeding Strategy for Clustering: X. Bresson et al -- 10 Ego-Motion Classification for Body-Worn Videos: Z. Meng et al -- 11 Synchronized Recovery Method for Multi-Rank Symmetric Tensor Decomposition: H. Liu -- Index.
Record Nr. UNINA-9910300123403321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui