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  • Currently displaying 221 - 240 of 270 publications
Supervised learning and dimension reduction techniques for quantification of retinal fluid in optical coherence tomography images.
A Breger, M Ehler, H Bogunovic, SM Waldstein, A-M Philip, U Schmidt-Erfurth, BS Gerendas
– Eye
(2017)
31,
1212
A DBN-crf for spectral-spatial classification of hyperspectral data
P Zhong, Z Gong, CB Schönlieb
– 2016 23rd International Conference on Pattern Recognition (ICPR)
(2017)
1,
1219
Infimal Convolution Regularisation Functionals of $\mathrm {BV}$ and $\mathrm {L}^{p}$ Spaces. The Case $p=\infty $
M Burger, K Papafitsoros, E Papoutsellis, CB Schönlieb
– IFIP Advances in Information and Communication Technology
(2017)
494,
169
Preconditioned ADMM with nonlinear operator constraint
M Benning, F Knoll, CB Schönlieb, T Valkonen
– IFIP Advances in Information and Communication Technology
(2017)
494,
117
Mathematical imaging methods for mitosis analysis in live-cell phase contrast microscopy.
JS Grah, JA Harrington, SB Koh, JA Pike, A Schreiner, M Burger, C-B Schönlieb, S Reichelt
– Methods (San Diego, Calif.)
(2017)
115,
91
Graph Clustering, Variational Image Segmentation Methods and Hough Transform Scale Detection for Object Measurement in Images
L Calatroni, Y van Gennip, CB Schönlieb, HM Rowland, A Flenner
– Journal of Mathematical Imaging and Vision
(2017)
57,
269
Preface for Inverse Problems special issue on learning and inverse problems
CB Schönlieb, JC De los Reyes, E Haber
– Inverse Problems
(2017)
33,
070301
Infimal convolution of data discrepancies for mixed noise removal
L Calatroni, JC De Los Reyes, CB Schönlieb
– SIAM Journal on Imaging Sciences
(2017)
10,
1196
Faster PET Reconstruction with a Stochastic Primal-Dual Hybrid Gradient Method
MJ Ehrhardt, P Markiewicz, A Chambolle, P Richtárik, J Schott, CB Schönlieb
– Wavelets and Sparsity XVII
(2017)
10394,
58
Learning filter functions in regularisers by minimising quotients
M Benning, G Gilboa, JS Grah, C Schoenlieb
– Lecture Notes in Computer Science
(2017)
10302,
511
Nonlinear Spectral Image Fusion
M Benning, M Möller, RZ Nossek, M Burger, D Cremers, G Gilboa, CB Schönlieb
– SCALE SPACE AND VARIATIONAL METHODS IN COMPUTER VISION, SSVM 2017
(2017)
10302,
41
Individual Tree Species Classification From Airborne Multisensor Imagery Using Robust PCA
J Lee, X Cai, J Lellmann, M Dalponte, Y Malhi, N Butt, M Morecroft, CB Schonlieb, DA Coomes
– IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
(2016)
9,
2554
A diversified deep belief network for hyperspectral image classification
P Zhong, ZQ Gong, C Schönlieb
– ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
(2016)
XLI-B7,
443
Bilevel Parameter Learning for Higher-Order Total Variation Regularisation Models
JC De Los Reyes, C-B Schönlieb, T Valkonen
– J Math Imaging Vis
(2016)
57,
1
Mapping individual trees from airborne multi-sensor imagery
J Lee
(2016)
Infimal Convolution Regularisation Functionals of BV and $\varvec{\mathrm {L}}^{\varvec{p}}$ L p Spaces
M Burger, K Papafitsoros, E Papoutsellis, C-B Schönlieb
– J Math Imaging Vis
(2016)
55,
343
The structure of optimal parameters for image restoration problems
JC De Los Reyes, CB Schönlieb, T Valkonen
– Journal of Mathematical Analysis and Applications
(2016)
434,
464
A Classification of Non-Compact Coxeter Polytopes with $n+3$ Facets and One Non-Simple Vertex
M Roberts
(2015)
Mapping individual trees from airborne multi-sensor imagery
J Lee, X Cai, CB Schonlieb, D Coomes
– 2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)
(2015)
2015-November,
5411
A generalized model for optimal transport of images including dissipation and density modulation
J Maas, M Rumpf, C Schönlieb, S Simon
– ESAIM: Mathematical Modelling and Numerical Analysis
(2015)
49,
1745