August 2001
Intermediate to advanced
700 pages
53h 4m
English
Thomas P. Minka and Rosalind W. Picard, Vision and Modeling Group, MIT Media Laboratory, 20 Ames Street; Cambridge, MA 02139. E-mail address: tpminka@media.mit.edu, picard@media.mit.edu
Digital library access is driven by features, but the relevance of a feature for a query is not always obvious. This paper describes an approach for integrating a large number of context-dependent features into a semi-automated tool. Instead of requiring universal similarity measures or manual selection of relevant features, the approach provides a learning algorithm for selecting and combining groupings of the data, where groupings can be induced by highly specialized features. The selection process ...
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