Achievable Rates for Pattern Recognition

Biological and machine pattern recognition systems face a common challenge: Given sensory data about an unknown pattern, classify the pattern by searching for the best match within a library of representations stored in memory. In many cases, the number of patterns to be discriminated and the richne...

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Vydáno v:	IEEE transactions on information theory Ročník 54; číslo 1; s. 299 - 320
Hlavní autoři:	Westover, M. Brandon, O'Sullivan, Joseph A.
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	New York, NY IEEE 01.01.2008 Institute of Electrical and Electronics Engineers The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:	Applied sciences Classification Coding, codes Complexity Conferences Distributed source coding Exact sciences and technology Force sensors Gaussian Information processing Information theory Information, signal and communications theory Libraries Mathematical model Mathematical models Meetings Memory multiterminal information theory Pattern matching Pattern recognition Pattern recognition systems Preserves Recognition Representations Signal and communications theory Signal processing Source coding Telecommunications and information theory multiterminal information theory Source coding Distributed source signal Pattern recognition Mathematical model Information theory Distributed source coding pattern recognition
ISSN:	0018-9448, 1557-9654
On-line přístup:	Získat plný text
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