Data Science

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 expensive to store. Thus, quantisation is required for efficient encoding. In this paper, we interpret the quantisation …

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 method is that it relies exclusively on Global Positioning System (GPS) logs of drivers. This setting is highly …

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 location of important pixels but also their values should optimise the compression quality. The position of such …