SYSTEMS AND METHODS FOR NEURONAL VISUAL-LINGUISTIC DATA RETRIEVAL FROM AN IMAGED DOCUMENT
Systems and methods for automatic information retrieval from imaged documents. Deep network architectures retrieve information from imaged documents using a neuronal visual-linguistic mechanism including a geometrically trained neuronal network. An expense management platform uses the neuronal visua...
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| creator | SIMANTOV, Amos GAL, Rinon SHILKROT, Roy MORAG, Nimrod |
| description | Systems and methods for automatic information retrieval from imaged documents. Deep network architectures retrieve information from imaged documents using a neuronal visual-linguistic mechanism including a geometrically trained neuronal network. An expense management platform uses the neuronal visual-linguistic mechanism to determine geometric-semantic information of the imaged document.
L'invention concerne des systèmes et des procédés de récupération automatique d'informations à partir de documents imagés. Des architectures de réseau profond extraient des informations de documents imagés à l'aide d'un mécanisme visuel-linguistique neuronal comprenant un réseau neuronal à formation géométrique. Une plateforme de gestion de dépenses utilise le mécanisme visuel-linguistique neuronal pour déterminer des informations géométriques-sémantiques du document imagé. |
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L'invention concerne des systèmes et des procédés de récupération automatique d'informations à partir de documents imagés. Des architectures de réseau profond extraient des informations de documents imagés à l'aide d'un mécanisme visuel-linguistique neuronal comprenant un réseau neuronal à formation géométrique. Une plateforme de gestion de dépenses utilise le mécanisme visuel-linguistique neuronal pour déterminer des informations géométriques-sémantiques du document imagé.</description><subject>CALCULATING</subject><subject>COMPUTING</subject><subject>COUNTING</subject><subject>PHYSICS</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2019</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNqNy7EKwjAQgOEsDqK-w4FzoaagdDyaaxtoEkguLZ1KkTiJFur7YwcfwOlfvn8vxjAGJhMArQJD3DoVoHYeLEXvLHbQ6xCxyzptm6gD6woUMoIn9pr6DdTemW0HbbAhBcpV0ZDlo9g95ueaTr8exLkmrtosLe8prct8T6_0mQYn80uZl_J6k1gU_6kvALIylw</recordid><startdate>20190829</startdate><enddate>20190829</enddate><creator>SIMANTOV, Amos</creator><creator>GAL, Rinon</creator><creator>SHILKROT, Roy</creator><creator>MORAG, Nimrod</creator><scope>EVB</scope></search><sort><creationdate>20190829</creationdate><title>SYSTEMS AND METHODS FOR NEURONAL VISUAL-LINGUISTIC DATA RETRIEVAL FROM AN IMAGED DOCUMENT</title><author>SIMANTOV, Amos ; GAL, Rinon ; SHILKROT, Roy ; MORAG, Nimrod</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_WO2019092672A33</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>eng ; fre</language><creationdate>2019</creationdate><topic>CALCULATING</topic><topic>COMPUTING</topic><topic>COUNTING</topic><topic>PHYSICS</topic><toplevel>online_resources</toplevel><creatorcontrib>SIMANTOV, Amos</creatorcontrib><creatorcontrib>GAL, Rinon</creatorcontrib><creatorcontrib>SHILKROT, Roy</creatorcontrib><creatorcontrib>MORAG, Nimrod</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>SIMANTOV, Amos</au><au>GAL, Rinon</au><au>SHILKROT, Roy</au><au>MORAG, Nimrod</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>SYSTEMS AND METHODS FOR NEURONAL VISUAL-LINGUISTIC DATA RETRIEVAL FROM AN IMAGED DOCUMENT</title><date>2019-08-29</date><risdate>2019</risdate><abstract>Systems and methods for automatic information retrieval from imaged documents. Deep network architectures retrieve information from imaged documents using a neuronal visual-linguistic mechanism including a geometrically trained neuronal network. An expense management platform uses the neuronal visual-linguistic mechanism to determine geometric-semantic information of the imaged document.
L'invention concerne des systèmes et des procédés de récupération automatique d'informations à partir de documents imagés. Des architectures de réseau profond extraient des informations de documents imagés à l'aide d'un mécanisme visuel-linguistique neuronal comprenant un réseau neuronal à formation géométrique. Une plateforme de gestion de dépenses utilise le mécanisme visuel-linguistique neuronal pour déterminer des informations géométriques-sémantiques du document imagé.</abstract><oa>free_for_read</oa></addata></record> |
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| subjects | CALCULATING COMPUTING COUNTING PHYSICS |
| title | SYSTEMS AND METHODS FOR NEURONAL VISUAL-LINGUISTIC DATA RETRIEVAL FROM AN IMAGED DOCUMENT |
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