A Topic Model Approach to Multi-Modal Similarity

Rasmus Troelsgård, Bjørn Sand Jensen, Lars Kai Hansen

AbstractCalculating similarities between objects defined by many heterogeneous data modalities is an important challenge in many multimedia applications. We use a multi-modal topic model as a basis for defining such a similarity between objects. We propose to compare the resulting similarities from different model realizations using the non-parametric Mantel test. The approach is evaluated on a music dataset.
KeywordsTopic model, multi-modal similarity
TypeConference paper [With referee]
ConferenceNIPS 2013 Workshop on Topic Models: Computation, Application, and Evaluation
Year2013    Month December
NoteThis work was presented as a poster at the workshop
Electronic version(s)[pdf]
Publication linkhttp://https://sites.google.com/site/nips2013topicmodels/
BibTeX data [bibtex]
IMM Group(s)Intelligent Signal Processing

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