A Topic Model Approach to Multi-Modal Similarity
Information Retrieval
2014-05-28 v1 Machine Learning
Abstract
Calculating 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.
Keywords
Cite
@article{arxiv.1405.6886,
title = {A Topic Model Approach to Multi-Modal Similarity},
author = {Rasmus Troelsgård and Bjørn Sand Jensen and Lars Kai Hansen},
journal= {arXiv preprint arXiv:1405.6886},
year = {2014}
}
Comments
topic modelling workshop at NIPS 2013