Improving Image Clustering using Sparse Text and the Wisdom of the Crowds
Machine Learning
2014-05-12 v1 Computer Vision and Pattern Recognition
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.
Keywords
Cite
@article{arxiv.1405.2102,
title = {Improving Image Clustering using Sparse Text and the Wisdom of the Crowds},
author = {Anna Ma and Arjuna Flenner and Deanna Needell and Allon G. Percus},
journal= {arXiv preprint arXiv:1405.2102},
year = {2014}
}