Closed planar shape classification using nonlinear alignment
This paper addresses the problem associated with classification of signatures of four different types of aircraft prototypes. In order to classify the signatures, Nonlinear Alignment method is proposed. This procedure is designed to pair wise generate optimally aligned signatures by back tracking al...
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| creator | Telagarapu, P. |
| description | This paper addresses the problem associated with classification of signatures of four different types of aircraft prototypes. In order to classify the signatures, Nonlinear Alignment method is proposed. This procedure is designed to pair wise generate optimally aligned signatures by back tracking along the optimal alignment path. Classification results on these prototype signatures show that this method is quite robust in classifying the signals with unequal duration, compared to nearest mean classifier. Classification results were observed for different MSSNR for both classification methods. This paper also focused on reconstructing signatures based on the alignment path. |
| doi_str_mv | 10.1109/RAICS.2011.6069370 |
| format | Conference Proceeding |
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In order to classify the signatures, Nonlinear Alignment method is proposed. This procedure is designed to pair wise generate optimally aligned signatures by back tracking along the optimal alignment path. Classification results on these prototype signatures show that this method is quite robust in classifying the signals with unequal duration, compared to nearest mean classifier. Classification results were observed for different MSSNR for both classification methods. This paper also focused on reconstructing signatures based on the alignment path.</description><identifier>ISBN: 9781424494781</identifier><identifier>ISBN: 1424494788</identifier><identifier>EISBN: 1424494753</identifier><identifier>EISBN: 9781424494767</identifier><identifier>EISBN: 1424494761</identifier><identifier>EISBN: 9781424494750</identifier><identifier>EISBN: 142449477X</identifier><identifier>EISBN: 9781424494774</identifier><identifier>DOI: 10.1109/RAICS.2011.6069370</identifier><language>eng</language><publisher>IEEE</publisher><subject>Accuracy ; Aircraft ; Closed planar classification ; Mathematical model ; Nearest-mean classification ; Noise measurement ; Nonlinear alignment ; Optimal alignment ; Prototypes ; Signal to noise ratio ; Speech recognition</subject><ispartof>2011 IEEE Recent Advances in Intelligent Computational Systems, 2011, p.537-540</ispartof><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/6069370$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,778,782,787,788,2054,27908,54903</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/6069370$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Telagarapu, P.</creatorcontrib><title>Closed planar shape classification using nonlinear alignment</title><title>2011 IEEE Recent Advances in Intelligent Computational Systems</title><addtitle>RAICS</addtitle><description>This paper addresses the problem associated with classification of signatures of four different types of aircraft prototypes. In order to classify the signatures, Nonlinear Alignment method is proposed. This procedure is designed to pair wise generate optimally aligned signatures by back tracking along the optimal alignment path. Classification results on these prototype signatures show that this method is quite robust in classifying the signals with unequal duration, compared to nearest mean classifier. Classification results were observed for different MSSNR for both classification methods. This paper also focused on reconstructing signatures based on the alignment path.</description><subject>Accuracy</subject><subject>Aircraft</subject><subject>Closed planar classification</subject><subject>Mathematical model</subject><subject>Nearest-mean classification</subject><subject>Noise measurement</subject><subject>Nonlinear alignment</subject><subject>Optimal alignment</subject><subject>Prototypes</subject><subject>Signal to noise ratio</subject><subject>Speech recognition</subject><isbn>9781424494781</isbn><isbn>1424494788</isbn><isbn>1424494753</isbn><isbn>9781424494767</isbn><isbn>1424494761</isbn><isbn>9781424494750</isbn><isbn>142449477X</isbn><isbn>9781424494774</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2011</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNo1j0FLxDAUhCMiqGv_gF76B1pfmjRpwMtSdF1YEHTvy0vzukayaWnqwX9vwXUuw8DHMMPYPYeSczCP7-tt-1FWwHmpQBmh4YLdcllJaaSuxSXLjG7-c8OvWZbSFyxSyiiub9hTG4ZELh8DRpzy9Ikj5V3AlHzvO5z9EPPv5OMxj0MMPtICYfDHeKI437GrHkOi7Owrtn953revxe5ts23Xu8IbmIvaOE3KglWd6hW4HrEG5BYa6iw2AFUvUBjkZI20y1DAzknQRihAKZ1YsYe_Wk9Eh3HyJ5x-Due_4hfxTUn4</recordid><startdate>201109</startdate><enddate>201109</enddate><creator>Telagarapu, P.</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>201109</creationdate><title>Closed planar shape classification using nonlinear alignment</title><author>Telagarapu, P.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i90t-59d7e6b0b6c6f60dfaa50a1b08ecba8002f3a39a1eb94b4940acd4079360a44d3</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2011</creationdate><topic>Accuracy</topic><topic>Aircraft</topic><topic>Closed planar classification</topic><topic>Mathematical model</topic><topic>Nearest-mean classification</topic><topic>Noise measurement</topic><topic>Nonlinear alignment</topic><topic>Optimal alignment</topic><topic>Prototypes</topic><topic>Signal to noise ratio</topic><topic>Speech recognition</topic><toplevel>online_resources</toplevel><creatorcontrib>Telagarapu, P.</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Telagarapu, P.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Closed planar shape classification using nonlinear alignment</atitle><btitle>2011 IEEE Recent Advances in Intelligent Computational Systems</btitle><stitle>RAICS</stitle><date>2011-09</date><risdate>2011</risdate><spage>537</spage><epage>540</epage><pages>537-540</pages><isbn>9781424494781</isbn><isbn>1424494788</isbn><eisbn>1424494753</eisbn><eisbn>9781424494767</eisbn><eisbn>1424494761</eisbn><eisbn>9781424494750</eisbn><eisbn>142449477X</eisbn><eisbn>9781424494774</eisbn><abstract>This paper addresses the problem associated with classification of signatures of four different types of aircraft prototypes. In order to classify the signatures, Nonlinear Alignment method is proposed. This procedure is designed to pair wise generate optimally aligned signatures by back tracking along the optimal alignment path. Classification results on these prototype signatures show that this method is quite robust in classifying the signals with unequal duration, compared to nearest mean classifier. Classification results were observed for different MSSNR for both classification methods. This paper also focused on reconstructing signatures based on the alignment path.</abstract><pub>IEEE</pub><doi>10.1109/RAICS.2011.6069370</doi><tpages>4</tpages></addata></record> |
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| ispartof | 2011 IEEE Recent Advances in Intelligent Computational Systems, 2011, p.537-540 |
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| language | eng |
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| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | Accuracy Aircraft Closed planar classification Mathematical model Nearest-mean classification Noise measurement Nonlinear alignment Optimal alignment Prototypes Signal to noise ratio Speech recognition |
| title | Closed planar shape classification using nonlinear alignment |
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