English | 繁體

Search in the results

UM

Browse/Search Results:  1-10 of 35 Help

Selected(0)Clear Items/Page:    Sort:
Spectral-Spatial Sparse Subspace Clustering Based on Three-Dimensional Edge-Preserving Filtering for Hyperspectral Image Conference paper
Li A., Qin A., Hu S., Shang Z., Tang Y.Y.. Spectral-Spatial Sparse Subspace Clustering Based on Three-Dimensional Edge-Preserving Filtering for Hyperspectral Image[C], 2018, 167-172.
Authors:  Li A.;  Qin A.;  Hu S.;  Shang Z.;  Tang Y.Y.
Favorite | TC[Scopus]:1 | Submit date：2019/02/11
3-d Edge-preserving Filters (3-d Epfs)  Hyperspectral Images (Hsis)  Intensity Differences  Sparse Subspace Clustering (Ssc)  
Parameter Estimation of Gaussian Mixture Model Based on Variational Bayesian Learning Conference paper
Zhao L., Shang Z., Qin A., Tang Y.Y.. Parameter Estimation of Gaussian Mixture Model Based on Variational Bayesian Learning[C], 2018, 99-104.
Authors:  Zhao L.;  Shang Z.;  Qin A.;  Tang Y.Y.
Favorite | TC[WOS]:1 TC[Scopus]:1 | Submit date：2019/02/11
Annealing Algorithm  Gaussian Mixture Model  Parameter Estimation  Tsallis-davbem  Variational Bayes Em  
Multi-windowed graph Fourier frames Conference paper
XIAN-WEI ZHENG, YUAN YAN TANG, JIAN-TAO ZHOU, HAO-LIANG YUAN, YU-LONG WANG, LI-NA YANG, JIAN-JIA PAN. Multi-windowed graph Fourier frames[C]:IEEE, 2017, 1042-1048.
Authors:  XIAN-WEI ZHENG;  YUAN YAN TANG;  JIAN-TAO ZHOU;  HAO-LIANG YUAN;  YU-LONG WANG; et al.
Adobe PDF | Favorite | TC[Scopus]:9 | Submit date：2018/12/22
Dual Frames  Graph Fourier Transform  Tight Frames  Windowed Graph Fourier Frames  
One sample based feature learning for vehicle identification Conference paper
XU YANG, YUAN YAN TANG, HUI-WU LUO, TAO WU, LI SUN, LEI LI. One sample based feature learning for vehicle identification[C]:IEEE, 2017, 1049-1054.
Authors:  XU YANG;  YUAN YAN TANG;  HUI-WU LUO;  TAO WU;  LI SUN; et al.
Favorite | TC[Scopus]:1 | Submit date：2019/02/11
Feature Learning  Genetic Algorithm  Llc  One-shot Learning  Patches-based Learning  Vehicle Identification  
How many images can tell you the direction: A new method of navigation based on images Conference paper
Li, Lei, Tang, Yuan Yan, Wu, Tao. How many images can tell you the direction: A new method of navigation based on images[C]. IEEE Computer Society:IEEE, 2017, 1031-1036.
Authors:  Li, Lei;  Tang, Yuan Yan;  Wu, Tao
Favorite | TC[Scopus]:0 | Submit date：2018/11/06
Navigation System  Direction Problem  Multi-cue Integration  Bayesian Bule  Support Vector Machine  
Multi-resolution-based road state estimation Conference paper
Sun, Li, Tang, Yuan Yan, Wu, Tao. Multi-resolution-based road state estimation[C]. IEEE Computer Society:IEEE, 2017, 1037-1041.
Authors:  Sun, Li;  Tang, Yuan Yan;  Wu, Tao
Favorite | TC[Scopus]:0 | Submit date：2018/11/06
Road State Estimation  Multi-resolution  Support Vector Machine  
Feature extraction based on discriminant analysis with penalty constra int for hyperspectral image cl assification Conference paper
Luo H.W., Yang L.N., Li Y.-M., Yuan H.L., Tang Y.Y.. Feature extraction based on discriminant analysis with penalty constra int for hyperspectral image cl assification[C], 2013, 931-936.
Authors:  Luo H.W.;  Yang L.N.;  Li Y.-M.;  Yuan H.L.;  Tang Y.Y.
Favorite | TC[Scopus]:1 | Submit date：2019/02/11
Dimension Reduction  Feature Extraction  Hyperspectral Image Classification  Linear Discriminant Analysis  Penalty Discriminant Analysis  
A noun-phrase chunking model based on SBCB ensemble learning algorithm Conference paper
Zhu L., Chao L.S., Wong D.F., Zeng X.-D.. A noun-phrase chunking model based on SBCB ensemble learning algorithm[C], 2012, 11-16.
Authors:  Zhu L.;  Chao L.S.;  Wong D.F.;  Zeng X.-D.
Favorite | TC[Scopus]:2 | Submit date：2018/12/24
Ensemble Learning Algorithm  Feature Selection  Np Chunking  Shallow Parsing  
Korean-Chinese statistical translation model Conference paper
Li S., Wong D.F., Chao L.S.. Korean-Chinese statistical translation model[C], 2012, 767-772.
Authors:  Li S.;  Wong D.F.;  Chao L.S.
Favorite | TC[Scopus]:4 | Submit date：2018/12/24
Factored Translation Model  Korean-chinese  Statistical Machine Translation  
Blind biosignal classification framework based on DTW algorithm Conference paper
Chao S., Wong F., Lam H.-L., Vai M.-I.. Blind biosignal classification framework based on DTW algorithm[C], 2011, 1684-1689.
Authors:  Chao S.;  Wong F.;  Lam H.-L.;  Vai M.-I.
Favorite | TC[Scopus]:4 | Submit date：2018/12/24
Biosignal  Classification  Clustering  Data Mining  Dynamic Time Warping (Dtw)