This paper presents a semi-supervised learning (SSL) approach to find similarities of images using statistics of local matches. SSL algorithms are well known for leveraging a larg...
We present a method for unsupervised learning of event classes from videos in which multiple actions might occur simultaneously. It is assumed that all such activities are produce...
Muralikrishna Sridhar, Anthony G. Cohn, David C. H...
Evaluating complex Natural Language Processing (NLP) systems can prove extremely difficult. In many cases, the best one can do is to evaluate these systems indirectly, by looking ...
— Cluster Ensembles is a framework for combining multiple partitionings obtained from separate clustering runs into a final consensus clustering. This framework has attracted mu...
: Traditional state modeling techniques have several limitations. One of these is the reduced ability to model a large number of variables simultaneously. Another limitation is tha...
Gregory Vert, Sergiu M. Dascalu, Frederick C. Harr...