Presented By O'Reilly and Cloudera
Make Data Work
31 May–1 June 2016: Training
1 June–3 June 2016: Conference
London, UK
Francesca Odone

Francesca Odone
Associate Professor in Computer Science, University of Genova

Website | @FrancescaOdone

Francesca Odone is an associate professor of computer science at the University of Genova, Italy. Francesca’s research interests are in the fields of computer vision and machine learning. In particular, most of her research activity in recent years has been devoted to finding good visual representations able to capture the complexity of a problem, while allowing for the design of systems with the ability to perform their visual tasks in real time. In this respect, she has been involved in learning representations for high-dimensional data, (structured) feature selection, dimensionality reduction, support set estimation, visual recognition pipelines for object detection, retrieval, and recognition in images and image sequences, algorithms for behavior understanding, and action recognition. Francesca received a laurea degree in information sciences and a PhD in computer science, both from the University of Genova. She was a visiting student at Heriot-Watt University, Edinburgh, UK, with a EU Marie Curie research grant, as well as a researcher at the Italian National Institute for Solid State Physics. Besides theory and algorithms, Francesca also enjoys playing with real-world applications. Over the years, she has been a scientific coordinator of technology transfer and applied research projects.

Sessions

11:00–11:30 Wednesday, 1/06/2016
Hardcore data science
Location: Capital Suite 4 Level: Advanced
Tags: ai
Francesca Odone (University of Genova)
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Francesca Odone explores analyzing visual data (images and videos) with the purpose of extracting meaningful information to solve different scene-understanding tasks. Francesca addresses the problem of learning adaptive data representations and covers different application scenarios, including human-robot interaction, activity recognition, and object categorization. Read more.