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Deep Spatiality: Unsupervised Learning of Spatially-Enhanced Global and Local 3D Features by Deep Neural Network with Coupled Softmax
Journal article
IEEE Transactions on Image Processing, 2018,Volume: 27,Issue: 6,Page: 3049-3063
Authors:
Han Z.
;
Liu Z.
;
Vong C.-M.
;
Liu Y.-S.
;
Bu S.
;
Han J.
;
Chen C.L.P.
Favorite
|
View/Download:17/0
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TC[WOS]:
18
TC[Scopus]:
21
|
Submit date:2019/02/11
Coupled Softmax
Deep Spatial
Directed Circular Graph
Spatially-enhanced 3d Features
Nonlinear dynamical analysis of moored floating structures
Journal article
INTERNATIONAL JOURNAL OF NON-LINEAR MECHANICS, 2018,Volume: 98,Page: 189-197
Authors:
Wang, Kun
;
Er, Guo-Kang
;
Iu, Vai Pan
Favorite
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View/Download:32/0
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TC[WOS]:
1
TC[Scopus]:
2
|
Submit date:2018/10/30
Floating structure
Mooring lines
Connection conditions
Cable element
Evaluation of sequential SPECT and CT for targeted radionuclide therapy dosimetry
Journal article
ANNALS OF NUCLEAR MEDICINE, 2018,Volume: 32,Issue: 1,Page: 34-43
Authors:
Li, Tiantian
;
Wu, Nien-Yun
;
Song, Na
;
Mok, Greta S. P.
Favorite
|
View/Download:34/0
|
TC[WOS]:
3
TC[Scopus]:
3
|
Submit date:2018/10/30
Targeted Radionuclide Therapy
Quantitative Spect
Ct
Dosimetry
Image Registration
BoSCC: Bag of Spatial Context Correlations for Spatially Enhanced 3D Shape Representation
Journal article
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2017,Volume: 26,Issue: 8,Page: 3707-3720
Authors:
Han, Zhizhong
;
Liu, Zhenbao
;
Vong, Chi-Man
;
Liu, Yu-Shen
;
Bu, Shuhui
;
Han, Junwei
;
Chen, C. L. Philip
Favorite
|
View/Download:24/0
|
TC[WOS]:
16
TC[Scopus]:
20
|
Submit date:2018/10/30
Bag Of Spatial Context Correlations
Spatial Context Correlation
Spatial Context
3d Shape Representations
Unsupervised 3D Local Feature Learning by Circle Convolutional Restricted Boltzmann Machine
Journal article
IEEE Transactions on Image Processing, 2016,Volume: 25,Issue: 11,Page: 5331-5344
Authors:
Han Z.
;
Liu Z.
;
Han J.
;
Vong C.-M.
;
Bu S.
;
Li X.
Favorite
|
View/Download:5/0
|
TC[WOS]:
22
TC[Scopus]:
28
|
Submit date:2019/02/14
3d Shapes
Circle Convolutional Restricted Boltzmann Machine
Deep Learning
Fourier Transform Modulus
Geometry Processing
Projection Distance Distribution
Highly non-rigid video object tracking using segment-based object candidates
Journal article
MULTIMEDIA TOOLS AND APPLICATIONS, 2016,Volume: 76,Issue: 7,Page: 9565-9586
Authors:
Lin, Cong
;
Pun, Chi-Man
;
Huang, Guoheng
Favorite
|
View/Download:28/0
|
TC[WOS]:
3
TC[Scopus]:
4
|
Submit date:2018/10/30
Highly Non-rigid Object
Tracking
Segment-based
Objectness
Motion Weights
Appearance Model
Design and analysis of a new compliant XY micropositioning stage based on Roberts mechanism
Journal article
Mechanism and Machine Theory, 2016,Volume: 95,Page: 125-139
Authors:
Wan S.
;
Xu Q.
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View/Download:20/0
|
TC[WOS]:
32
TC[Scopus]:
35
|
Submit date:2018/12/23
Compliant Mechanism
Micropositioning
Pseudo Rigid Body Model (Prbm)
Roberts Mechanisms
Xy Stage
Video object tracking using interactive segmentation and superpixel based Gaussian kernel
Conference paper
Proceedings of the International Conference on Information Visualisation, Barcelona, SPAIN, JUL 22-24, 2015
Authors:
Huang G.
;
Pun C.-M.
;
Lin C.
Favorite
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View/Download:8/0
|
TC[WOS]:
1
TC[Scopus]:
1
|
Submit date:2019/02/14
Gaussian Kernel
Interactive Segmentation
Non-rigid
Object Tracking
Superpixel
Non-rigid visual object tracking using user-defined marker and Gaussian kernel
Journal article
Multimedia Tools and Applications, 2015,Volume: 75,Issue: 10,Page: 5473-5492
Authors:
Huang G.
;
Pun C.-M.
;
Lin C.
;
Zhou Y.
Favorite
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View/Download:8/0
|
TC[WOS]:
4
TC[Scopus]:
4
|
Submit date:2018/12/21
Gaussian Kernel
Interactive Segmentation
Non-rigid
Object Tracking
Superpixel
Parallel-kinematic nanopositioning stages based on roberts mechanism
Book chapter
出自: Nanopositioning Technologies: Fundamentals and Applications:Springer, Cham, 2015, 页码: 123-150
Authors:
Wan S.
;
Xu Q.
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View/Download:17/0
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TC[WOS]:
0
TC[Scopus]:
0
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Submit date:2018/12/23