Zobrazeno 1 - 10
of 41
pro vyhledávání: '"Jian-cheng Lv"'
Publikováno v:
Environmental Science and Pollution Research. 30:54586-54599
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::48566031c99a2198dd3e06b096544277
https://doi.org/10.1007/s11356-023-25740-z
https://doi.org/10.1007/s11356-023-25740-z
Publikováno v:
Neurocomputing. 224:195-203
Manifold alignment is the process of aligning the shared intrinsic structure extracted from multiple manifolds. The criteria of manifold alignment are 2-fold. First, the alignment should minimize the distance between manifolds, ensuring high alignmen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2560945b802ca2ff4ce77ea8cc07d80c
https://doi.org/10.1016/j.neucom.2016.11.002
https://doi.org/10.1016/j.neucom.2016.11.002
Publikováno v:
IEEE transactions on neural networks and learning systems. 29(1)
Detecting boundary points (including outliers) is often more interesting than detecting normal observations, since they represent valid, interesting, and potentially valuable patterns. Since data representation can uncover the intrinsic data structur
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0292e861baeab4d64da571b569128670
https://pubmed.ncbi.nlm.nih.gov/27775542
https://pubmed.ncbi.nlm.nih.gov/27775542
Publikováno v:
IJCNN
This paper presents an angle and density-based data preprocessing method. It can be used to simultaneously identify outliers, boundary points and center points of clusters. Boundary points and outliers are generally located around the margin of dense
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9982a0026a9b4106b98ac04e01320679
https://doi.org/10.1109/ijcnn.2016.7727673
https://doi.org/10.1109/ijcnn.2016.7727673
Publikováno v:
2016 International Conference on Information System and Artificial Intelligence (ISAI).
Sparse representation classifier (SRC) is a classical method for classification, which was proposed in 2009. SRC method boosted the research of sparse representation, based on SRC, many other new methods were also proposed, such as structured-sparse
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7eed79ac8546f6092cfb154f2faaa6e6
https://doi.org/10.1109/isai.2016.0078
https://doi.org/10.1109/isai.2016.0078