Diego Tosato
3 SlideShares 19 Followers 38 Followings
Personal Information
Organization / Workplace
Treviso Area, Italy Italy
Occupation
R&D Scientist
Industry
Technology / Software / Internet
Website
http://sites.google.com/site/diegotosato/
About
Diego Tosato graduated at the University of Verona, Italy, in Information Technology (Bachelor's Degree) in 2006 and in Intelligent and Multimedia Systems (Specialist Degree) in 2008. He earned his PhD in 2012 at the Department of Computer Science, University of Verona, working with the Vision, Image Processing and Sounds (VIPS) Lab. He has been working as R&D scientist at Méthode srl, dealing with both machine learning methods and statistical models to learn from complex data structures and human-computer interaction issues. His research is focused on artificial intelligence, machine learning, computational user experience and data understanding problems.
Contact Details
Tags
video surveillance riemannian manifolds object detection object classification entity centric retrieval enterprise search entity graph exploration riemaniann manifolds boosting pedestrian detection
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Presentations

(3)

A Re-evaluation of Pedestrian Detection on Riemannian Manifolds

9 years ago • 562 Views

Exploiting ERP Systems in Enterprise Search

7 years ago • 466 Views

Multi-class Classification on Riemannian Manifolds for Video Surveillance

7 years ago • 434 Views

Likes

(2)

Refactoring: Improve the design of existing code

Valerio Maggio • 10 years ago

Language support and linguistics in lucene solr & its eco system

lucenerevolution • 10 years ago
Personal Information
Organization / Workplace
Treviso Area, Italy Italy
Occupation
R&D Scientist
Industry
Technology / Software / Internet
Website
http://sites.google.com/site/diegotosato/
About
Diego Tosato graduated at the University of Verona, Italy, in Information Technology (Bachelor's Degree) in 2006 and in Intelligent and Multimedia Systems (Specialist Degree) in 2008. He earned his PhD in 2012 at the Department of Computer Science, University of Verona, working with the Vision, Image Processing and Sounds (VIPS) Lab. He has been working as R&D scientist at Méthode srl, dealing with both machine learning methods and statistical models to learn from complex data structures and human-computer interaction issues. His research is focused on artificial intelligence, machine learning, computational user experience and data understanding problems.
Tags
video surveillance riemannian manifolds object detection object classification entity centric retrieval enterprise search entity graph exploration riemaniann manifolds boosting pedestrian detection
See more