Predicate |
Object |
assignee |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_3875c2469e63764eec74cd4baa34e0ac http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_5d7576285d411d00c697e07270d2814a |
classificationCPCAdditional |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G10L2015-0635 |
classificationCPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G10L15-06 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G10L15-063 |
classificationIPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G10L15-06 |
filingDate |
2013-08-13-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
inventor |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_8d7a25f7e00a058b2ac540f69e035fe2 http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_1fea46fa19afbc69ee117b48515a5c4e |
publicationDate |
2015-02-19-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
publicationNumber |
US-2015051909-A1 |
titleOfInvention |
Pattern recognition apparatus and pattern recognition method |
abstract |
Provided is a pattern recognition apparatus for creating multiple systems and combining the multiple systems to improve the recognition performance, including a discriminative training unit for constructing model parameters of a second or subsequent system based on an output tendency of a previously-constructed model so as to be different from the output tendency of the previously-constructed model. Accordingly, when multiple systems are combined, the recognition performance can be improved without trials-and-errors. |
isCitedBy |
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/US-11423647-B2 http://rdf.ncbi.nlm.nih.gov/pubchem/patent/WO-2019208858-A1 |
priorityDate |
2013-08-13-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
type |
http://data.epo.org/linked-data/def/patent/Publication |