| A Probabilistic Approach to Pattern Matching in the Continuous Domain. | |
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MedLine Citation:
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PMID: 22213767 Owner: NLM Status: Publisher |
Abstract/OtherAbstract:
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The goal of this paper is to solve the following basic problem: given discrete noisy samples from a continuous signal, compute the probability distribution of its distance from a fixed template. As opposed to the typical restoration problem, which considers a single optimal signal, the computation of the entire probability distribution necessitates integrating over the entire signal space. To achieve this, we apply path integration techniques. The problem is studied in one and two dimension, and an accurate solution as well as an efficient approximation scheme are provided. |
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Authors:
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Daniel Keren; Michael Werman; Joshua Feinberg |
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Publication Detail:
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Type: JOURNAL ARTICLE Date: 2011-12-28 |
Journal Detail:
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Title: IEEE transactions on pattern analysis and machine intelligence Volume: - ISSN: 1939-3539 ISO Abbreviation: - Publication Date: 2011 Dec |
Date Detail:
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Created Date: 2012-1-3 Completed Date: - Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 9885960 Medline TA: IEEE Trans Pattern Anal Mach Intell Country: - |
Other Details:
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Languages: ENG Pagination: - Citation Subset: - |
Affiliation:
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University of Haifa, Haifa. |
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From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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