Improving Image Clustering using Sparse Text and the Wisdom of the Crowds

Authors

Anna Ma, Claremont Graduate UniversityFollow
Arjuna Flenner, Naval Air Warfare Center
Deanna Needell, Claremont McKenna CollegeFollow
Allon G. Percus, Claremont Graduate UniversityFollow

Document Type

Conference Proceeding

Department

Mathematics (CMC)

Publication Date

5-8-2014

Abstract

We propose a method to improve image clustering using sparse text and the wisdom of the crowds. In particular, we present a method to fuse two different kinds of document features, image and text features, and use a common dictionary or “wisdom of the crowds” as the connection between the two different kinds of documents. With the proposed fusion matrix, we use topic modeling via non-negative matrix factorization to cluster documents.

Rights Information

© 2014 Ma, Flenner, Needell, Percus

Terms of Use & License Information

Terms of Use for work posted in Scholarship@Claremont.

Recommended Citation

Ma, A., Flenner, A., Needell, D., Percus, A., "Improving Image Clustering using Sparse Text and the Wisdom of the Crowds", Proc. Asilomar Conference on Signals, Systems, and Computers, Pacific Grove CA, Nov. 2014. http://arxiv.org/abs/1405.2102