http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-105354595-B
Outgoing Links
| Predicate | Object |
|---|---|
| classificationCPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F18-24133 |
| classificationIPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06K9-62 |
| filingDate | 2015-10-30-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| grantDate | 2019-09-27-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationDate | 2019-09-27-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber | CN-105354595-B |
| titleOfInvention | A robust visual image classification method and system |
| abstract | The invention discloses a robust visual image classification method and system. In order to effectively realize the category prediction of unlabeled samples in training samples and the rapid induction and reasonable dimensionality reduction of samples to be tested, the error measurement based on elastic regression analysis is integrated into Train an out-of-sample label propagation model with parameter trade-off normalized manifold regularization term, label fitting term based on soft label l 2,1 norm regularization and elastic regression based on l 2,1 norm regularization The impact of the residual term on the sample description and category identification completes the establishment of the label propagation model; and then obtains the projection matrix used to determine the category of the sample to be tested through the iterative optimization of the label propagation model. Therefore, by introducing the regression error term based on l 2,1 norm regularization and soft label l 2,1 norm regularization in this application, the robustness of the system can be effectively improved while inheriting the advantages of the label propagation classification method , so that the inductive process of the samples to be tested is fast and accurate. |
| isCitedBy | http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-111340120-B http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-111340120-A |
| priorityDate | 2015-10-30-04:00^^<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/CID25572 http://rdf.ncbi.nlm.nih.gov/pubchem/substance/SID415713197 |
Total number of triples: 14.