http://rdf.ncbi.nlm.nih.gov/pubchem/patent/EP-3678064-A1
Outgoing Links
| Predicate | Object |
|---|---|
| assignee | http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_c16d2144a81bfa32a665dca1e93c3d37 |
| classificationCPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N5-02 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N20-00 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F40-30 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N3-04 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N3-045 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N3-08 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06V20-00 |
| classificationIPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06N99-00 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06N3-08 |
| filingDate | 2017-12-15-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| inventor | http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_bfe0fb2e927e9a9119a3bfe394998694 http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_837446bd728f78f1b6af505bba38f453 http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_ca285597526dfb7f68c40f520a42aebb |
| publicationDate | 2020-07-08-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber | EP-3678064-A1 |
| titleOfInvention | Apparatus related to metric-learning-based data classification and method thereof |
| abstract | The present invention provides artificial intelligence technology which has machine-learning-based information understanding capability, including metric learning providing improved classification performance, classification of an object considering a semantic relationship, understanding of the meaning of a scene based on the metric learning and the classification, and the like. An electronic device according to one embodiment of the present invention comprises a memory in which at least one instruction is stored, and a processor for executing the stored instruction. Here, the processor extracts feature data from training data of a first class, obtains a feature point by mapping the extracted feature data to an embedding space, and makes an artificial neural network learn in a direction for reducing a distance between the obtained feature point and an anchor point. |
| priorityDate | 2017-11-16-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| type | http://data.epo.org/linked-data/def/patent/Publication |
Incoming Links
| Predicate | Subject |
|---|---|
| isDiscussedBy | http://rdf.ncbi.nlm.nih.gov/pubchem/compound/CID10157484 http://rdf.ncbi.nlm.nih.gov/pubchem/substance/SID419574400 |
Total number of triples: 22.