Results 241 to 250 of about 48,666 (293)

A doc2vec and local outlier factor approach to measuring the novelty of patents

Technological Forecasting and Social Change, 2022
Abstract Patent analysis using text mining techniques is an effective way to identify novel technologies. However, the results of previous studies have been of limited use in practice because they require domain-specific knowledge and reflect the limited technological features of patents.
Joon Mo Ahn, Juram Kim, Changyong Lee
exaly   +3 more sources

Outlier detection using isolation forest and local outlier factor

Proceedings of the Conference on Research in Adaptive and Convergent Systems, 2019
Outlier detection, also named as anomaly detection, is one of the hot issues in the field of data mining. As well-known outlier detection algorithms, Isolation Forest(iForest) and Local Outlier Factor(LOF) have been widely used. However, iForest is only sensitive to global outliers, and is weak in dealing with local outliers. Although LOF performs well
Zhangyu Cheng   +2 more
openaire   +1 more source

Robust feature matching using guided local outlier factor

Pattern Recognition, 2021
Abstract Matching local features on two or more images is fundamental for many applications in the field of computer vision and pattern recognition. Identifying and rejecting mismatches is an important part in the framework of feature matching, due to the putative correspondences always contaminated by mismatches with the error-prone local feature ...
Gang Wang 0008, Yufei Chen 0002
openaire   +1 more source

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