Personal Information
Entreprise/Lieu de travail
Treviso Area, Italy Italy
Profession
R&D Scientist
Secteur d’activité
Technology / Software / Internet
À propos
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.
Mots-clés
video surveillance
riemannian manifolds
object detection
object classification
entity centric retrieval
enterprise search
entity graph exploration
riemaniann manifolds
boosting
pedestrian detection
Tout plus
Présentations
(3)J’aime
(2)Refactoring: Improve the design of existing code
Valerio Maggio
•
il y a 10 ans
Language support and linguistics in lucene solr & its eco system
lucenerevolution
•
il y a 10 ans
Personal Information
Entreprise/Lieu de travail
Treviso Area, Italy Italy
Profession
R&D Scientist
Secteur d’activité
Technology / Software / Internet
À propos
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.
Mots-clés
video surveillance
riemannian manifolds
object detection
object classification
entity centric retrieval
enterprise search
entity graph exploration
riemaniann manifolds
boosting
pedestrian detection
Tout plus