workshops

Signal-Dependent and Correlated Noise in Imaging: From Modelling to Parameter Estimation and Practical Filtering [Part 1 of 2]

Restoration and Recognition of Blurred Images [Part 2 of 2]

Machine Learning meets Computational Imaging: Big Data Analytics for Earth Observation

Restoration and Recognition of Blurred Images [Part 1 of 2]

Interpretable Deep Learning: Towards Understanding & Explaining Deep Neural Networks

Geometry-preserving Embeddings: Dimensionality Reduction Techniques for Information Representation

Signal-Dependent and Correlated Noise in Imaging: from Modelling to Parameter Estimation and Practical Filtering [Part 2 of 2]

Bayesian Filtering and Smoothing Methods for Machine Learning

Temporal Models with Low-Rank Spectrogram

Opening the Black Box-How to Interpret Machine Learning Functions and their Decisions

A Reality Check on Data Driven Business - What are the Real Life Potential and Barriers

End-to-End Speech Recognition Systems Explored