LEADER 05534nam 22006975 450 001 9910300123403321 005 20200706190947.0 010 $a3-319-91274-7 024 7 $a10.1007/978-3-319-91274-5 035 $a(CKB)4100000007158913 035 $a(MiAaPQ)EBC5601937 035 $a(DE-He213)978-3-319-91274-5 035 $a(PPN)232471398 035 $a(EXLCZ)994100000007158913 100 $a20181119d2018 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aImaging, Vision and Learning Based on Optimization and PDEs$b[electronic resource] $eIVLOPDE, Bergen, Norway, August 29 ? September 2, 2016 /$fedited by Xue-Cheng Tai, Egil Bae, Marius Lysaker 205 $a1st ed. 2018. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2018. 215 $a1 online resource (viii, 255 pages) 225 1 $aMathematics and Visualization,$x1612-3786 311 $a3-319-91273-9 327 $aPart 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. 330 $aThis volume presents the peer-reviewed proceedings of the international conference Imaging, Vision and Learning Based on Optimization and PDEs (IVLOPDE), held in Bergen, Norway, in August/September 2016. The contributions cover state-of-the-art research on mathematical techniques for image processing, computer vision and machine learning based on optimization and partial differential equations (PDEs). It has become an established paradigm to formulate problems within image processing and computer vision as PDEs, variational problems or finite dimensional optimization problems. This compact yet expressive framework makes it possible to incorporate a range of desired properties of the solutions and to design algorithms based on well-founded mathematical theory. A growing body of research has also approached more general problems within data analysis and machine learning from the same perspective, and demonstrated the advantages over earlier, more established algorithms. This volume will appeal to all mathematicians and computer scientists interested in novel techniques and analytical results for optimization, variational models and PDEs, together with experimental results on applications ranging from early image formation to high-level image and data analysis. 410 0$aMathematics and Visualization,$x1612-3786 606 $aOptical data processing 606 $aPattern recognition 606 $aComputer mathematics 606 $aMathematical optimization 606 $aPartial differential equations 606 $aComputer graphics 606 $aImage Processing and Computer Vision$3https://scigraph.springernature.com/ontologies/product-market-codes/I22021 606 $aPattern Recognition$3https://scigraph.springernature.com/ontologies/product-market-codes/I2203X 606 $aComputational Mathematics and Numerical Analysis$3https://scigraph.springernature.com/ontologies/product-market-codes/M1400X 606 $aOptimization$3https://scigraph.springernature.com/ontologies/product-market-codes/M26008 606 $aPartial Differential Equations$3https://scigraph.springernature.com/ontologies/product-market-codes/M12155 606 $aComputer Graphics$3https://scigraph.springernature.com/ontologies/product-market-codes/I22013 615 0$aOptical data processing. 615 0$aPattern recognition. 615 0$aComputer mathematics. 615 0$aMathematical optimization. 615 0$aPartial differential equations. 615 0$aComputer graphics. 615 14$aImage Processing and Computer Vision. 615 24$aPattern Recognition. 615 24$aComputational Mathematics and Numerical Analysis. 615 24$aOptimization. 615 24$aPartial Differential Equations. 615 24$aComputer Graphics. 676 $a621.367 702 $aTai$b Xue-Cheng$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aBae$b Egil$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aLysaker$b Marius$4edt$4http://id.loc.gov/vocabulary/relators/edt 906 $aBOOK 912 $a9910300123403321 996 $aImaging, Vision and Learning Based on Optimization and PDEs$91564772 997 $aUNINA