Please have a look at our video presentation for the WSCG2020 conference. This is the latest research about XAI, which extends on the Embedded Prototype Subspace Classification pipeline. This paper introduces the use of cascading for ensembles with early termination. The idea is to progressively exclude neurons that cannot contribute to the solution. This can … Continue reading Ensembles and Cascading of Embedded Prototype Subspace Classifiers
Consensus Ranking for Increasing Mean Average Precision in Keyword Spotting
Word spotting use a query word image to find any instances of that word among document images. The obtained list of words is ranked according to similarity to the query word. Ideally, any false positives should only occur in the end of that list. However, in reality they often occur higher up, which decreases the … Continue reading Consensus Ranking for Increasing Mean Average Precision in Keyword Spotting
Professor
As of 1:st of October I am officially Professor in Computerised Image Processing at Uppsala University.
Illumination Correction – how to preserve medium sized objects
Non-uniform illumination, cause problems in various areas of photography, such as mosaicing of panoramas, face recognition and microscopy. The remedying procedure is often called illumination or shading correction/normalisation. The paper propose a method that can be used both for minimising the change in intensity over the image, but also for increasing the contrast in low … Continue reading Illumination Correction – how to preserve medium sized objects
Creating an Atlas over Handwritten Script Signs
This paper propose an efficient way of visualising handwritten script signs based on their similarity. The image below to the left shows how the number one from the MNIST dataset has been clustered and visualised as small islands. The image to the right shows a heat map of each island and one can clearly see … Continue reading Creating an Atlas over Handwritten Script Signs
Anders Hast 