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20122026
most citedA Survey on the Explainability of Supervised Machine Learning

984 citations

Showing 2019Show all

5 papers · 1 filter

cs.CV2019★ 2 cited

Efficient Surface-Aware Semi-Global Matching with Multi-View Plane-Sweep Sampling

Boitumelo Ruf, Thomas Pollok, Martin Weinmann

Online augmentation of an oblique aerial image sequence with structural information is an essential aspect in the process of 3D scene interpretation and analysis. One key aspect in…

cs.CV2019★ 2 cited

Automatic Co-Registration of Aerial Imagery and Untextured Model Data Utilizing Average Shading Gradients

Sylvia Schmitz, Martin Weinmann, Boitumelo Ruf

The comparison of current image data with existing 3D model data of a scene provides an efficient method to keep models up to date. In order to transfer information between 2D and…

stat.ML2019★ 806 cited

Informed Machine Learning -- A Taxonomy and Survey of Integrating Knowledge into Learning Systems

Laura von Rueden, Sebastian Mayer, Katharina Beckh +11

Despite its great success, machine learning can have its limits when dealing with insufficient training data. A potential solution is the additional integration of prior knowledge…

physics.acc-ph2019★ 11 cited

From self-organization in relativistic electron bunches to coherent synchrotron light: observation using a photonic time-stretch digitizer

Serge Bielawski, Edmund Blomley, Miriam Brosi +14

In recent and future synchrotron radiation facilities, relativistic electron bunches with increasingly high charge density are needed for producing brilliant light at various wavel…

cs.CV2019

An RNN-based IMM Filter Surrogate

Stefan Becker, Ronny Hug, Wolfgang Hübner +1

The problem of varying dynamics of tracked objects, such as pedestrians, is traditionally tackled with approaches like the Interacting Multiple Model (IMM) filter using a Bayesian…