DIKU Bits: Machine Learning Meets Image Analysis: From looking inside ourselves to gazing at the stars

Speaker

Christian Igel, Professor in the Image Section.

Abstract

Machine learning (ML) plays an increasing role in image analysis.
This talk presents recent examples from medical imaging and astronomy,
ranging from applying standard ML algorithms to hand-designed image features,
over supervised feature learning using deep neural networks, to unsupervised
image categorization. Different ways of incorporating invariance properties in the system are emphasized.

The talk will be conducted in English

DIKU Bits: A new lecture series at DIKU

In this new lecture series you can get a closer look at the research conducted at DIKU, be motivated you to follow your interest in computer science and be inspired when choosing a subject for your bachelors project. The lectures are addressed to DIKU bachelor students – however, everyone is welcome. Find more information about DIKU Bits in Danish / in English.