Euclidean Embedding of Co-occurrence Data

Volume: 8, Issue: 76, Pages: 2265 - 2295
Published: Dec 1, 2007
Abstract
Embedding algorithms search for a low dimensional continuous representation of data, but most algorithms only handle objects of a single type for which pairwise distances are specified. This paper describes a method for embedding objects of different types, such as images and text, into a single common Euclidean space, based on their co-occurrence statistics. The joint distributions are modeled as exponentials of Euclidean distances in the...
Paper Details
Title
Euclidean Embedding of Co-occurrence Data
Published Date
Dec 1, 2007
Volume
8
Issue
76
Pages
2265 - 2295
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