Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Peitao Cheng"'
Publikováno v:
IEEE Access, Vol 5, Pp 2228-2240 (2017)
As a powerful nonparametric Bayesian model, the infinite mixture model has been successfully used in machine learning and computer vision. The success of the infinite mixture model owes to the capability clustering and density estimation. In this pap
Externí odkaz:
https://doaj.org/article/df5ee8b5058b442fb17f5a8d076be1e9
Publikováno v:
Remote Sensing, Vol 12, Iss 23, p 3890 (2020)
Loop closure detection is a key module for visual simultaneous localization and mapping (SLAM). Most previous methods for this module have not made full use of the information provided by images, i.e., they have only used the visual appearance or hav
Externí odkaz:
https://doaj.org/article/fda67edbf462480ebc30923ef9e9a711
Publikováno v:
IEEE Transactions on Circuits and Systems for Video Technology. 33:1109-1122
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c75ccc0e2d67a9d5a1ad4973af8ca5ba
https://doi.org/10.1109/tcsvt.2022.3212434
https://doi.org/10.1109/tcsvt.2022.3212434
Publikováno v:
Pattern Recognition Letters. 161:122-129
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f308f585639a3fb85a0c941eac89bd62
https://doi.org/10.1016/j.patrec.2022.07.018
https://doi.org/10.1016/j.patrec.2022.07.018
Publikováno v:
IEEE Signal Processing Letters. 29:219-223
Due to high storage and calculation efficiency, hash-based methods have been widely used in image retrieval systems. Unsupervised deep hashing methods can learn the binary representations of images effectively without any annotations. The strategy of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c5afd64d3238f15cb4812995b6fd347c
https://doi.org/10.1109/lsp.2021.3130500
https://doi.org/10.1109/lsp.2021.3130500
Publikováno v:
IEEE Transactions on Circuits and Systems for Video Technology. :1-1
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7c8572f9850a089706a746f6032dd297
https://doi.org/10.1109/tcsvt.2023.3234037
https://doi.org/10.1109/tcsvt.2023.3234037
Publikováno v:
Pattern Recognition. 122:108326
Sequential data clustering is a challenging task in data mining (e.g., motion recognition and video segmentation). For good performance in dealing with complex local correlation and high-dimensional structure of sequential data, representation based
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b63791c882ac1235770ba562a02a248d
https://doi.org/10.1016/j.patcog.2021.108326
https://doi.org/10.1016/j.patcog.2021.108326
Publikováno v:
Remote Sensing, Vol 12, Iss 3890, p 3890 (2020)
Remote Sensing
Volume 12
Issue 23
Pages: 3890
Remote Sensing
Volume 12
Issue 23
Pages: 3890
Loop closure detection is a key module for visual simultaneous localization and mapping (SLAM). Most previous methods for this module have not made full use of the information provided by images, i.e., they have only used the visual appearance or hav
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c00d21a916887fb535bb27fc03f683fa
https://doi.org/10.3390/rs12233890
https://doi.org/10.3390/rs12233890
Publikováno v:
Neurocomputing. 148:376-387
The image super-resolution technique plays a critical role in many applications, such as digital entertainments and medical diagnosis. Recently, the super-resolution method has been focused on the neighbor embedding techniques. However, these neighbo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a362e80619b5b59394c8c9f0f0f20704
https://doi.org/10.1016/j.neucom.2014.06.020
https://doi.org/10.1016/j.neucom.2014.06.020
Publikováno v:
ICIMCS
Dimensionality reduction methods for multiple view data have been widely used in the field of computer vision and multimedia research. Since different views could have very different statistical properties, how to learn a low-dimensional representati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3c8788d38fe541cf85ad766cbc925c2e
https://doi.org/10.1145/3007669.3007729
https://doi.org/10.1145/3007669.3007729