###### publications

# Articles

## • Journal

[9] J. Clemens, T. Kluth, T. Reineking. β-SLAM: Simultaneous Localization and Grid Mapping With Beta Distributions. Accepted for publication in *Information Fusion*, online available here ,2018

[8] T. Kluth, B. Jin, G. Li. On the Degree of Ill-Posedness of Multi-Dimensional Magnetic Particle Imaging. In *Inverse Problems*, 34(9): 095006, 2018

[7] T. Kluth. Mathematical models for magnetic particle imaging. In *Inverse Problems*, 34(8): 083001, 2018

[6] T. Kluth, P. Maass. Model uncertainty in magnetic particle imaging: Nonlinear problem formulation and model-based sparse reconstruction. In *International Journal on Magnetic Particle Imaging*, Article ID 1707004, 3(2), 10 pages, 2017.

[5] C. Bathke, T. Kluth, C. Brandt, P. Maass. Improved image reconstruction in magnetic particle imaging using structural a priori information. In *International Journal on Magnetic Particle Imaging*, Article ID 1703015, 3(1), 10 pages, 2017.

[4] J. Clemens, T. Reineking, T. Kluth. An evidential approach to SLAM, path planning, and active exploration. In *International Journal of Approximate Reasoning*, 73:1-26, 2016.

[3] T. Kluth, C. Zetzsche. Numerosity as a topological invariant. In *Journal of Vision*, 16(3):30, 1-39, 2016.

[2] M. Gehre, T. Kluth, C. Sebu, P. Maass. Sparse 3D reconstructions in Electrical Impedance Tomography using real data. In *Inverse Problems in Science and Engineering*, 22(1):31-44, 2014.

[1] M. Gehre, T. Kluth, A. Lipponen, B. Jin, A. Seppaenen, J. P. Kaipio, P. Maass. Sparsity Reconstruction in Electrical Impedance Tomography: An Experimental Evaluation. In *Journal of Computational and Applied Mathematics,*, 236(8):2126-2136, 2012.

## • Conference proceedings (peer-reviewed)

[6] T. Reineking, T. Kluth, D. Nakath. Adaptive information selection in images: Efficient naive bayes nearest neighbor classification. In G. Azzopardi and N. Petkov, editors, *Computer Analysis of Images and Patterns*, volume 9256 of *Lecture Notes in Computer Science*, pages 350-361. Springer International Publishing, 2015

[5] T. Kluth, D. Nakath, T. Reineking, C. Zetzsche, K. Schill. Affordance-based object recognition using interactions obtained from a utility maximization principle. In *Computer Vision-ECCV 2014 Workshops*, volume 8926 of *Lecture Notes in Computer Science*, pages 406-412. Springer International Publishing, 2014.

[4] T. Kluth, C. Zetzsche. Spatial numerosity: A computational model based on a topological invariant. In C. Freksa, B. Nebel, M. Hegarty, and T. Barkowsky, editors, *Spatial Cognition IX*, volume 8684 of *Lecture Notes in Computer Science*, pages 237-252. Springer International Publishing, 2014.

[3] D. Nakath, T. Kluth, T. Reineking, C. Zetzsche, K. Schill. Active sensorimotor object recognition in three-dimensional space. In C. Freksa, B. Nebel, M. Hegarty, and T. Barkowsky, editors, *Spatial Cognition IX*, volume 8684 of *Lecture Notes in Computer Science*, pages 312-324. Springer International Publishing, 2014.

[2] C. Zetzsche, K. Gadzicki, T. Kluth. Statistical Invariants of Spatial Form: From Local AND to Numerosity. In *Proceedings of the Second Interdisciplinary Workshop The Shape of Things*, pp. 163-172, 2013.

[1] S. Eberhardt, T. Kluth, C. Zetzsche, K. Schill. From Pattern Recognition to Place Detection. In *Proceedings of the International Workshop on Place-related Knowledge Acquisition Research (P-KAR)*, pp. 39-44, 2012.

# Theses

[2] T. Kluth. Intrinsic dimensionality in vision: Nonlinear filter design and applications. *PhD thesis*, 2015.

[1] T. Kluth. 3D Electrical Impedance Tomography with Sparsity Constraints: Algorithm and implementation in application to the Complete Electrode Model. *Diploma thesis*, 2011.

# Posters, talks and other scientific contributions

[23] __T. Kluth__. The model-based reconstruction problem in
magnetic particle imaging. Invited talk at *International Conference on Sensing and Imaging*, Liuzhou, China, 2018. Slides upon request.

[22] __T. Kluth__. Spatio-temporal concentration estimation in magnetic particle imaging using a priori motion information. Invited talk at *IFIP TC 7 Conference on System Modelling and Optimization*, Essen, Germany, 2018. Slides upon request.

[21] __T. Kluth__. Modeling of magnetic particle imaging. Invited talk at Universitaet Hamburg-Harburg (invited by Prof. Dr. Christina Brandt), Hamburg, Germany, 2018. Slides upon request.

[20] __T. Kluth__. Mathematical models in magnetic particle imaging. Talk at *SIAM Conference on Imaging Science*, Bologna, Italy, 2018. Slides upon request.

[19] __T. Kluth__, B. Jin. Exploiting ill-posedness in magnetic particle imaging - system matrix approximation via randomized SVD. Talk at *8th International Workshop on Magnetic Particle Imaging*, Hamburg, Germany, 2018. Slides upon request.

[18] __T. Kluth__. Modeling of magnetic particle imaging. Invited tutorial talk at *8th International Workshop on Magnetic Particle Imaging* (invited by Prof. Dr. Thorsten Buzug, Prof. Dr. Tobias Knopp), Hamburg, Germany, 2018. Slides upon request.

[17] __T. Kluth__. Model-based magnetic particle imaging. Invited talk at WIAS Berlin (invited by Prof. Dr. Michael Hintermueller), Berlin, Germany, 2018. Slides upon request.

[16] __T. Kluth__. Model-based magnetic particle imaging. Invited talk at Oberseminar Wissenschaftliches Rechnen, Julius-Maximilians-Universitaet Wuerzburg (invited by Prof. Dr. Bernadette Hahn), Wuerzburg, Germany, 2017. Slides upon request.

[15] __T. Kluth__. Operator uncertainty in model-based magnetic particle imaging. Invited talk at Inverse Problems Seminar, University College London (invited by Dr. Bangti Jin), London, UK, 2017. Slides upon request.

[14] __T. Kluth__. Nonlinear parameter identification problems
for model-based magnetic particle imaging (joint work with P. Maass). Talk at 9th Applied Inverse Problems Conference, Hangzhou, China, 2017. Slides upon request.

[13] __T. Kluth__, P. Maass. Model Uncertainty in Magnetic Particle Imaging. Talk at the *7th International Workshop on Magnetic Particle Imaging*, Prague, 2017. Slides upon request.

[12] C. Bathke, __T. Kluth__, C. Brandt, P. Maass. Magnetic Particle Imaging: Improved image reconstruction using structural a priori information. Talk at the *22nd Inverse Days*, Kuopio, 2016. Slides upon request.

[11] __T. Kluth__. 3D electrical impedance tomography with sparsity constraints. Invited talk at the workshop *Compressive Sensing and Sparsity: Theory and Applications in Tomography*, Manchester, 2015.

[10] T. Reineking, __T. Kluth__, D. Nakath. Adaptive information selection in images: Efficient naive bayes nearest neighbor classification. Poster at *16th International Conference on Computer Analysis of Images and Patterns*, Valletta, 2015.

[9] __T. Kluth__. Intrinsic dimensionality in vision: Nonlinear filter design and applications. Talk at my *Doctorate Defense*, Bremen, 2015.

[8] __T. Kluth__, C. Zetzsche. Spatial numerosity: A computational model based on a topological invariant. Talk at *International Conference on Spatial Cognition*, Bremen, 2014.

[7] __T. Kluth__, C. Zetzsche. Visual numerosity: A computational model based on a topological invariant. Poster at *ECVP*, Belgrade, 2014.

[6] __T. Kluth__, C. Zetzsche. Numerical cognition in vision based on a topological invariant. Poster at *OCCAM*, Osnabrueck, 2014.

[5] __T. Kluth__, D. Nakath, T. Reineking, C. Zetzsche, K. Schill. Sensorimotor integration using an information gain strategy in application to object recognition tasks. Poster at *ECVP*, Bremen, 2013.

[4] __S. Eberhardt__, T. Kluth, C. Zetzsche, K.Schill. Slow features encode high-level concepts on HMAX outputs. Poster at *OCCAM*, Osnabrueck, 2013.

[3] __S. Eberhardt__, T. Kluth, T. Reineking, C. Zetzsche, K. Schill. Models for invariant place recognition. Abstract in *Proceedings of KogWis*, p. 10, 2012.

[2] __S. Eberhardt__, T. Kluth, M. Fahle, C. Zetzsche. The role of nonlinearities in hierarchical feed-forward models for pattern recognition. Poster at *ECVP*, Sardinia, 2012.

[1] __T. Kluth__, S. Eberhardt, M. Fahle, C. Zetzsche. Slow features between invariance and selectivity. Poster at *OCCAM*, Osnabrueck, 2012.