DATA REDUCTION USING INFORMATION THEORETIC TECHNIQUES
Final results are presented from a mathematical study to improve the overall performance of pattern recognition devices, such as for reconnaissance photograph interpretation. The specific results of this study are: (1) the design of practical pattern recognition systems requires mathematical procedu...
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| creator | Hughes, G. F Lebo, J. A |
| description | Final results are presented from a mathematical study to improve the overall performance of pattern recognition devices, such as for reconnaissance photograph interpretation. The specific results of this study are: (1) the design of practical pattern recognition systems requires mathematical procedures to account for statistical interdependencies and redundancy. (2) Inadequate experimental data sets are a common situation in practice and quantitative error formulas from sampling theory should be employed to assess and monitor the inadequacy. (3) A data reduction and combining technique was developed and tested, which accounts for the redundancy and data inadequacy. (4) A method of evaluating competing recognizer designs was developed from statistical sampling theory. |
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A ; NORTH AMERICAN AVIATION INC ANAHEIM CA AUTONETICS DIV</creatorcontrib><description>Final results are presented from a mathematical study to improve the overall performance of pattern recognition devices, such as for reconnaissance photograph interpretation. The specific results of this study are: (1) the design of practical pattern recognition systems requires mathematical procedures to account for statistical interdependencies and redundancy. (2) Inadequate experimental data sets are a common situation in practice and quantitative error formulas from sampling theory should be employed to assess and monitor the inadequacy. (3) A data reduction and combining technique was developed and tested, which accounts for the redundancy and data inadequacy. (4) A method of evaluating competing recognizer designs was developed from statistical sampling theory.</description><language>eng</language><subject>COMPUTER ANALYSIS ; COMPUTER PROGRAMS ; DATA PROCESSING ; DIGITAL COMPUTERS ; EQUATIONS ; ERRORS ; EXPERIMENTAL DATA ; FUNCTIONAL ANALYSIS ; MATHEMATICAL ANALYSIS ; MATHEMATICAL MODELS ; Military Intelligence ; PATTERN RECOGNITION ; PHOTOINTERPRETATION ; PROBABILITY ; SAMPLING ; SET THEORY</subject><creationdate>1967</creationdate><rights>APPROVED FOR PUBLIC RELEASE</rights><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,777,882,27548,27549</link.rule.ids><linktorsrc>$$Uhttps://apps.dtic.mil/sti/citations/AD0813395$$EView_record_in_DTIC$$FView_record_in_$$GDTIC$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>Hughes, G. 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(4) A method of evaluating competing recognizer designs was developed from statistical sampling theory.</description><subject>COMPUTER ANALYSIS</subject><subject>COMPUTER PROGRAMS</subject><subject>DATA PROCESSING</subject><subject>DIGITAL COMPUTERS</subject><subject>EQUATIONS</subject><subject>ERRORS</subject><subject>EXPERIMENTAL DATA</subject><subject>FUNCTIONAL ANALYSIS</subject><subject>MATHEMATICAL ANALYSIS</subject><subject>MATHEMATICAL MODELS</subject><subject>Military Intelligence</subject><subject>PATTERN RECOGNITION</subject><subject>PHOTOINTERPRETATION</subject><subject>PROBABILITY</subject><subject>SAMPLING</subject><subject>SET THEORY</subject><fulltext>true</fulltext><rsrctype>report</rsrctype><creationdate>1967</creationdate><recordtype>report</recordtype><sourceid>1RU</sourceid><recordid>eNrjZDB1cQxxVAhydQl1DvH091MIDfb0c1fw9HPzD_J1BIuEeLj6B7mGeDorhLg6e_h5Boa6BvMwsKYl5hSn8kJpbgYZN9cQZw_dlJLM5Pjiksy81JJ4RxcDC0NjY0tTYwLSAH5jJQM</recordid><startdate>196703</startdate><enddate>196703</enddate><creator>Hughes, G. F</creator><creator>Lebo, J. A</creator><scope>1RU</scope><scope>BHM</scope></search><sort><creationdate>196703</creationdate><title>DATA REDUCTION USING INFORMATION THEORETIC TECHNIQUES</title><author>Hughes, G. F ; Lebo, J. A</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-dtic_stinet_AD08133953</frbrgroupid><rsrctype>reports</rsrctype><prefilter>reports</prefilter><language>eng</language><creationdate>1967</creationdate><topic>COMPUTER ANALYSIS</topic><topic>COMPUTER PROGRAMS</topic><topic>DATA PROCESSING</topic><topic>DIGITAL COMPUTERS</topic><topic>EQUATIONS</topic><topic>ERRORS</topic><topic>EXPERIMENTAL DATA</topic><topic>FUNCTIONAL ANALYSIS</topic><topic>MATHEMATICAL ANALYSIS</topic><topic>MATHEMATICAL MODELS</topic><topic>Military Intelligence</topic><topic>PATTERN RECOGNITION</topic><topic>PHOTOINTERPRETATION</topic><topic>PROBABILITY</topic><topic>SAMPLING</topic><topic>SET THEORY</topic><toplevel>online_resources</toplevel><creatorcontrib>Hughes, G. F</creatorcontrib><creatorcontrib>Lebo, J. A</creatorcontrib><creatorcontrib>NORTH AMERICAN AVIATION INC ANAHEIM CA AUTONETICS DIV</creatorcontrib><collection>DTIC Technical Reports</collection><collection>DTIC STINET</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Hughes, G. F</au><au>Lebo, J. A</au><aucorp>NORTH AMERICAN AVIATION INC ANAHEIM CA AUTONETICS DIV</aucorp><format>book</format><genre>unknown</genre><ristype>RPRT</ristype><btitle>DATA REDUCTION USING INFORMATION THEORETIC TECHNIQUES</btitle><date>1967-03</date><risdate>1967</risdate><abstract>Final results are presented from a mathematical study to improve the overall performance of pattern recognition devices, such as for reconnaissance photograph interpretation. 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| source | DTIC Technical Reports |
| subjects | COMPUTER ANALYSIS COMPUTER PROGRAMS DATA PROCESSING DIGITAL COMPUTERS EQUATIONS ERRORS EXPERIMENTAL DATA FUNCTIONAL ANALYSIS MATHEMATICAL ANALYSIS MATHEMATICAL MODELS Military Intelligence PATTERN RECOGNITION PHOTOINTERPRETATION PROBABILITY SAMPLING SET THEORY |
| title | DATA REDUCTION USING INFORMATION THEORETIC TECHNIQUES |
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