Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Ran Tao"'
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 14, Pp 6624-6638 (2021)
In cross-scene hyperspectral imagery (HSI) classification, labeled samples are only available in source scene, and how to properly reduce the spectral shift between source and target scenes is a matter of concern. In this article, we investigate this
Publikováno v:
IEEE Transactions on Image Processing. 29:8326-8338
In this paper, we present a novel end-to-end learning neural network, i.e., MATNet, for zero-shot video object segmentation (ZVOS). Motivated by the human visual attention behavior, MATNet leverages motion cues as a bottom-up signal to guide the perc
Publikováno v:
Proceedings of the 2020 5th International Conference on Big Data and Computing.
Heart disease is one of the leading cause deaths of worldwide. Prediction of cardiovascular infection is a critical challenge in the area of clinical data analysis. Data mining techniques are providing an effective decision and significant results on
Publikováno v:
Communications in Computer and Information Science ISBN: 9783030214500
KMO
KMO
In view of the low prediction accuracy of the existing fashion color prediction methods, this paper propose a fashion color forecasting method used the spring and summer women’s fashion color data released by the International Fashion Color Committ
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3a90af3050ef775d51934cc24eaa9cc5
https://doi.org/10.1007/978-3-030-21451-7_9
https://doi.org/10.1007/978-3-030-21451-7_9
In recent years, deep learning has presented a great advance in hyperspectral image (HSI) classification. Particularly, long short-term memory (LSTM), as a special deep learning structure, has shown great ability in modeling long-term dependencies in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b653f3b82193180fdfc81efeea269596
Publikováno v:
Advanced Materials Research. 1014:552-555
The tradition elevator risk assessment model depends on the expert experience, which causes that the assessment process takes a long time. To deal with this problem, this paper proposes a new risk assessment model which is based on fuzzy analytic hie
Publikováno v:
Advanced Materials Research. 1014:501-504
In order to discover the fault with roller bearing in time, a new fault diagnosis method based on Empirical mode decomposition (EMD) and BP neural network is put forward in the paper. First, we get the fault signal through experiments. Then we use EM
Publikováno v:
Applied Mechanics and Materials. 539:475-478
In order to research the basic condition of animation production, this article chooses BP Neural Network to predict the animation production. We select 13 test samples, selected nine of them randomly as training samples, and the remaining four as the
Publikováno v:
CVPR
Proceedings 29th IEEE Conference on Computer Vision and Pattern Recognition : CVPR 2016: 26 June-1 July 2016, Las Vegas, Nevada, 1420-1429
STARTPAGE=1420;ENDPAGE=1429;TITLE=Proceedings 29th IEEE Conference on Computer Vision and Pattern Recognition : CVPR 2016
Proceedings 29th IEEE Conference on Computer Vision and Pattern Recognition : CVPR 2016: 26 June-1 July 2016, Las Vegas, Nevada, 1420-1429
STARTPAGE=1420;ENDPAGE=1429;TITLE=Proceedings 29th IEEE Conference on Computer Vision and Pattern Recognition : CVPR 2016
In this paper we present a tracker, which is radically different from state-of-the-art trackers: we apply no model updating, no occlusion detection, no combination of trackers, no geometric matching, and still deliver state-of-the-art tracking perfor
Publikováno v:
Fuzzy Sets and Systems. 130:227-236
This paper describes an improved self-organizing CPN-based (Counter-Propagation Network) fuzzy system. Two self-organizing algorithms IUSOCPN and ISSOCPN, being unsupervised and supervised respectively, are introduced. The idea is to construct the ne