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

Allon G. Percus; Anna Ma; Arjuna Flenner; Deanna Needell

REVIEW

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

Not yet reviewed by Pith; the record is open.

Re-run · record.json Download PDF Read on arXiv ↗

This paper has not been read by Pith yet. Machine review is queued; the pith claim, tier, and objections will appear here once it completes.

SPECIMEN: schema-true, not a live event

T0 review · schema-true

One-sentence machine reading of the paper's core claim.

pith:XXXXXXXX · record.json · timestamp

arxiv 1405.2102 v1 pith:LJEHDPGK submitted 2014-05-08 cs.LG cs.CV

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

Anna Ma , Arjuna Flenner , Deanna Needell , Allon G. Percus This is my paper

classification cs.LG cs.CV

keywords crowdsimagetextwisdomclusteringdifferentdocumentsfeatures

verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved

0 comments

read the original 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.

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

discussion (0)