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
In order to go beyond the black-box deep neural network, this paper introduces a novel learning framework: Embedded Prototype Subspace Classification (EPSC), which is based on subspaces (or manifolds) for image classification (especially handwritten text). The proposed EPSC framework is intended to be both easy to comprehend and visualise, with mathematically well-defined components. This is … Continue reading Embedded Prototype Subspace Classification: A subspace learning framework
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
Read more about the project in Swedish.
Starting next year I will work part time in team studying the original manuscript of the world renown author Astrid Lindgren. please see the press release of the project ”Astrid Lindgren-koden”. And also have a look at the project web page in Swedish at the Swedish Institute for Children's Books (SBI Svenska barnboksinstitutet).