Machine Learning Coffee Seminar: Professor Emeritus Erkki Oja, Aalto University

Machine Learning Coffee seminars are weekly seminars held jointly by the Aalto University and the University of Helsinki.

Starting January 9, Helsinki region machine learning researchers will start our week by an exciting machine learning talk and discussion over coffee before and after the talk. The talks will start 9:15, with coffee served from 9:00. The first talk is in seminar room T6, CS building.

Unsupervised Machine Learning for Matrix Decomposition

Erkki Oja
Professor Emeritus, Aalto University

Abstract:

Unsupervised learning is a classical approach in pattern recognition and data analysis. Its importance is growing today, due to the increasing data volumes and the difficulty of obtaining statistically sufficient amounts of labelled training data. Typical analysis techniques using unsupervised learning are principal component analysis, independent component analysis, and cluster analysis. They can all be presented as decompositions of the data matrix containing the unlabeled  samples. Starting from the classical results, the author reviews some advances in the field up to the present day.

See the next talks at the seminar webpage.

Welcome!