Machine Learning

2020-07-25 Software, Programming
Code
Optimal Inpainting Mask Cluster

I have used machine learning techniques in various projects. Our most successful applications were in the context of quantizing colour values for optimized inpainting and in accoustic source characterizations.

Source Code

The source code for clustering methods used for quantizing optimal masks can be found here. The source code for the accoustic source characterization is here.

Machine Learning Clustering Algorithm
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Publications

Clustering-Based Quantisation for PDE-Based Image Compression
Optimal known pixel data for inpainting in compression codecs based on partial differential equations is real-valued and thereby …
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Sparse $l_{1}$ Regularisation of Matrix Valued Models for Acoustic Source Characterisation
We present a strategy for the recovery of a sparse solution of a common problem in acoustic engineering, which is the reconstruction of …
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Highly Robust Clustering of GPS Driver Data for Energy Efficient Driving Style Modelling
This paper presents a novel approach to distinguish driving styles with respect to their energy efficiency. A distinct property of our …
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Efficient Co-domain Quantisation for PDE-based Image Compression
Finding optimal data for inpainting is a key problem for image compression with partial differential equations (PDEs). Not only the …
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