Bag-of-words demonstration

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Bag-of-words demonstration
Domain Visual Feature Extraction
Media
Task
Creation Date
Copyright The code is for teaching/research purposes only.
URL http://people.csail.mit.edu/fergus/iccv2005/bagwords.html


Description

A simple approach to classifying images is to treat them as a collection of regions, describing only their appearance and igorning their spatial structure. Similar models have been successfully used in the text community for analyzing documents and are known as "bag-of-words" models, since each document is represented by a distribution over fixed vocabulary(s). Using such a representation, methods such as probabalistic latent semantic analysis (pLSA) and latent dirichlet allocation (LDA) are able to extract coherent topics within document collections in an unsupervised manner.

Copyright Remarks

The code is for teaching/research purposes only.

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