http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-108596195-A

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assignee http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_4cbcec436c0daf7aa678e23d2a2cf038
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filingDate 2018-05-09-04:00^^<http://www.w3.org/2001/XMLSchema#date>
inventor http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_b736714095353dcb1e07e4b400b2f0b3
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publicationDate 2018-09-28-04:00^^<http://www.w3.org/2001/XMLSchema#date>
publicationNumber CN-108596195-A
titleOfInvention A Scene Recognition Method Based on Sparse Coding Feature Extraction
abstract The invention relates to the technical field of image recognition, in particular to a scene recognition method based on sparse coding feature extraction. A scene recognition method based on sparse coding feature extraction, comprising the steps of: performing a preprocessing operation on a sample image set collected in advance for training; extracting a feature expression vector of the sample image set; labeling the feature expression vector and its corresponding category Join the linear classifier to build a linear scene classifier; preprocess the sample image set to be recognized; extract the feature expression vector of the sample image set to be recognized; send the feature expression vector of the sample image set to be recognized into the linear scene Identify in the classifier to obtain the category label of the scene class to which the sample image set belongs. The use of sparse coding technology can reduce the image dimension while retaining the main information of the image, and has strong robustness to noise and occlusion.
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priorityDate 2018-05-09-04:00^^<http://www.w3.org/2001/XMLSchema#date>
type http://data.epo.org/linked-data/def/patent/Publication

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Total number of triples: 28.