Title:
SEMI-SUPERVISED HYBRID CLUSTERING/CLASSIFICATION SYSTEM
Document Type and Number:
WIPO Patent Application WO/2020/168998
Kind Code:
A1
Abstract:
System and method for classifying data objects occurring in an unstructured dataset, comprising: extracting feature vectors from the unstructured dataset, each feature vector representing an occurrence of a data object in the unstructured dataset; classifying the feature vectors into feature vector sets that each correspond to a respective object class from a plurality of object classes; for each feature vector set: performing multiple iterations of a clustering operation, each iteration including clustering feature vectors from the feature vector set into clusters of similar feature vectors and identifying outlier feature vectors, wherein for at least one iteration after a first iteration of the clustering operation, outlier feature vectors identified in a previous iteration are excluded from the clustering operation; and outputting a key cluster for the feature vector set from a final iteration of the multiple iterations, the key cluster including a greater number of similar feature vectors than any of the other clusters of the final iteration; and assembling a dataset that includes at least the feature vectors from the key clusters of the feature vector sets.
Inventors:
DAI PENG (CA)
LU JUWEI (CA)
SEKAR BHARATH (CA)
LI WEI (CA)
XU JIANPENG (CA)
LI RUIWEN (CA)
LU JUWEI (CA)
SEKAR BHARATH (CA)
LI WEI (CA)
XU JIANPENG (CA)
LI RUIWEN (CA)
Application Number:
PCT/CN2020/075512
Publication Date:
August 27, 2020
Filing Date:
February 17, 2020
Export Citation:
Assignee:
HUAWEI TECH CO LTD (CN)
International Classes:
G06F17/00; G06V10/764
Domestic Patent References:
| WO2012054339A1 | 2012-04-26 |
Foreign References:
| US20070061319A1 | 2007-03-15 | |||
| US20120054184A1 | 2012-03-01 |
Other References:
SIGNAL PROCESSING LABORATORY ET.AL: "VIDEO FACE RECOGNITION WITH GRAPH-BASED SEMI-SUPERVISED LEARNING", ICME 2009, 31 August 2009 (2009-08-31), XP031511065
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