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Christoph Lampert

 

 

 

(http://pub.ist.ac.at/~chl/)

Institute of Science and Technology (IST) Austria

 

Tuesday 18th September 2012

Time: 4pm

 

4th Floor Seminar Room,

Alexandra House, 17 Queen Square, London, WC1N 3AR

 

 

Semantic Attributes and Classification without Training Examples

 

Can we use machine learning to build classifiers for categories for which we don't have any training examples? No, seems to be the obvious answer. However, in my talk I will discuss a setting that does indeed allow non-trivial learning in this situation, where the main idea is to rely on class descriptions in terms of semantic attributes. Using examples from  recent work in computer vision I will explain the two main models in the field, direct attribute prediction and indirect attribute prediction, as well as recent extensions.