http://rdf.ncbi.nlm.nih.gov/pubchem/patent/WO-2015050596-A2
Outgoing Links
| Predicate | Object |
|---|---|
| assignee | http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_86e3fdfb690314e605bc56655fdf219b |
| classificationCPCAdditional | http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06V20-56 |
| classificationCPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F18-2415 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01S13-0209 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01S13-885 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01S13-887 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01S13-89 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01S7-2923 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01S7-292 |
| classificationIPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G01S13-02 |
| filingDate | 2014-06-16-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| inventor | http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_a41ac7b9ab2df752b98bd700e2aa564f http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_e1053853ec9e50ea8c7e894699440be4 http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_1b9fd9d65ae0fa200b5c0852a6c56eca http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_191fb7d63086e61ea84613d6a2459aa9 |
| publicationDate | 2015-04-09-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber | WO-2015050596-A2 |
| titleOfInvention | Using an mm-principle to enforce a sparsity constraint on fast image data estimation from large image data sets |
| abstract | The mathematical majorize-minimize principle is applied in various ways to process the image data to provide a more reliable image from the backscatter data using a reduced amount of memory and processing resources. A processing device processes the data set by creating an estimated image value for each voxel in the image by iteratively deriving the estimated image value through application of a majorize-minimize principle to solve a maximum a posteriori (MAP) estimation problem associated with a mathematical model of image data from the data. A prior probability density function for the unknown reflection coefficients is used to apply an assumption that a majority of the reflection coefficients are small. The described prior probability density functions promote sparse solutions automatically estimated from the observed data. |
| priorityDate | 2013-06-15-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| type | http://data.epo.org/linked-data/def/patent/Publication |
Incoming Links
Total number of triples: 138.