Handbook of Mathematical Methods in Imaging - 数据分析与数据挖掘

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发表于 2015-9-1 20:29:50 |只看作者 |坛友微信交流群|倒序 |AI写论文

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Volu me 1
Pa r t I I nve r se Pro b l e ms – Me th o ds . . . . . . .. . . . .. . . . .. . . . .. . . . . .. . . . .. . . . .. . 1
Linear Inverse Problems ....................................................... 3
Charles Groetsch
Large-Scale Inverse Problems in Imaging .................................... 47
Julianne Chung, Sarah Knepper, and James G. Nagy
Regularization Methods for Ill-Posed Problems ............................. 91
Jin Cheng and Bernd Hofmann
Distance Measures and Applications to Multimodal Variational Imaging 125
Christiane Pöschl and Otmar Scherzer
Energy Minimization Methods ................................................ 157
Mila Nikolova
Compressive Sensing............................................................ 205
Massimo Fornasier and Holger Rauhut
Duality and Convex Programming ..................... ....................... 257
Jonathan M. Borwein and D. Russell Luke
EM Algorithms .................................................................. 305
Charles Byrne and Paul P.B. Eggermont
EM Algorithms from a Non-stochastic Perspective ......................... 389
Charles Byrne
Iterative Solution Methods ..................................................... 431
Martin Burger, Barbara Kaltenbacher, and Andreas Neubauer
Level Set Methods for Structural Inversion and Image Reconstruction .. 471
Oliver Dorn and Dominiq