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Consistent penalizing field loss for zero-shot image retrieval Journal article
Liu, Cong, She, Wenhao, Chen, Minjie, Li, Xiaofang, Yang, Simon X.. Consistent penalizing field loss for zero-shot image retrieval[J]. Expert Systems with Applications, 2024, 236, 121287.
Authors:  Liu, Cong;  She, Wenhao;  Chen, Minjie;  Li, Xiaofang;  Yang, Simon X.
Favorite | TC[WOS]:4 TC[Scopus]:4  IF:7.5/7.6 | Submit date：2024/02/22
Computer Vision  Deep Learning  Deep Metric Learning  Image Retrieval  Zero-shot  
FeatEMD: Better Patch Sampling and Distance Metric for Few-Shot Image Classification Conference paper
Deng, Shisheng, Liao, Dongping, Gao, Xitong, Zhao, Juanjuan, Ye, Kejiang. FeatEMD: Better Patch Sampling and Distance Metric for Few-Shot Image Classification[C]:SPRINGER-VERLAG BERLINHEIDELBERGER PLATZ 3, D-14197 BERLIN, GERMANY, 2023, 183-194.
Authors:  Deng, Shisheng;  Liao, Dongping;  Gao, Xitong;  Zhao, Juanjuan;  Ye, Kejiang
Favorite | TC[WOS]:0 TC[Scopus]:0 | Submit date：2024/02/22
Few-shot Image Classification  Metric Learning  Saliency-based Cropping  
Noise Robust Face Hallucination Based on Smooth Correntropy Representation Journal article
Licheng Liu, Qiying Feng, C. L. Philip Chen, Yaonan Wang. Noise Robust Face Hallucination Based on Smooth Correntropy Representation[J]. IEEE Transactions on Neural Networks and Learning Systems, 2022, 33(10), 5953-5965.
Authors:  Licheng Liu;  Qiying Feng;  C. L. Philip Chen;  Yaonan Wang
Favorite | TC[WOS]:10 TC[Scopus]:13  IF:10.2/10.4 | Submit date：2022/05/13
Correntropy-induced Metric (Cim)  Faces  Fused Lasso Penalty  Image Reconstruction  Manifolds  Noise Measurement  Noise Robustness  Smooth Representation  Sparse Regression.  Superresolution  Training  
Hyperspectral image classification via discriminative convolutional neural network with an improved triplet loss Journal article
Huang, Ke Kun, Ren, Chuan Xian, Liu, Hui, Lai, Zhao Rong, Yu, Yu Feng, Dai, Dao Qing. Hyperspectral image classification via discriminative convolutional neural network with an improved triplet loss[J]. Pattern Recognition, 2021, 112, 107744.
Authors:  Huang, Ke Kun;  Ren, Chuan Xian;  Liu, Hui;  Lai, Zhao Rong;  Yu, Yu Feng; et al.
Favorite | TC[WOS]:25 TC[Scopus]:28  IF:7.5/7.6 | Submit date：2021/12/07
Convolutional Neural Network  Discriminative Learning  Hyper-spectral Image Classification  Metric Learning  Triplet Loss  
A hybrid shape-based image clustering using time-series analysis Journal article
Atreyee Mondal, Nilanjan Dey, Simon Fong, Amira S. Ashour. A hybrid shape-based image clustering using time-series analysis[J]. Multimedia Tools and Applications, 2020, 80(3), 3793-3808.
Authors:  Atreyee Mondal;  Nilanjan Dey;  Simon Fong;  Amira S. Ashour
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:3.0/2.9 | Submit date：2021/03/09
Shape Clustering  Image To Time-series Conversion  Shape Similarity  Hierarchical Clustering  Pearson Correlation Distance Metric  
Wavelet Transform-Based One Dimensional Manifold Embedding for Hyperspectral Image Classification Conference paper
HAILONG SU, LINA YANG, YUANYAN TANG, HUIWU LUO. Wavelet Transform-Based One Dimensional Manifold Embedding for Hyperspectral Image Classification[C]:IEEE, 2019, 8946451.
Authors:  HAILONG SU;  LINA YANG;  YUANYAN TANG;  HUIWU LUO
Favorite | TC[WOS]:5 TC[Scopus]:2 | Submit date：2022/05/17
Distance Metric Learning (Dml)  Hyperspectral Image (Hsi) Classification  1-d Manifold Embedding (1dme)  Smooth Ordering  
Hyperspectral Image Classification Using Metric Learning in One-Dimensional Embedding Framework Journal article
Luo, Huiwu, Tang, Yuan Yan, Wang, Yulong, Wang, Jianzhong, Biuk-Aghai, Robert P., Pan, Jianjia, Liu, Runzong, Yang, Lina. Hyperspectral Image Classification Using Metric Learning in One-Dimensional Embedding Framework[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2017, 10(5), 1987-2001.
Authors:  Luo, Huiwu;  Tang, Yuan Yan;  Wang, Yulong;  Wang, Jianzhong;  Biuk-Aghai, Robert P.; et al.
Favorite | TC[WOS]:9 TC[Scopus]:9  IF:4.7/5.0 | Submit date：2018/10/30
1-d Manifold Embedding (1dme)  Hyperspectral Image (Hsi) Classification  Metric Learning  Smooth Ordering  
Hyperspectral Image Classification Based on Spectral-Spatial One-Dimensional Manifold Embedding Journal article
Huiwu Luo, Yuan Yan Tang, Yulong Wang, Jianzhong Wang, Lina Yang, Chunli Li, Tingbo Hu. Hyperspectral Image Classification Based on Spectral-Spatial One-Dimensional Manifold Embedding[J]. IEEE Transactions on Geoscience and Remote Sensing, 2016, 54(9), 5319-5340.
Authors:  Huiwu Luo;  Yuan Yan Tang;  Yulong Wang;  Jianzhong Wang;  Lina Yang; et al.
Favorite | TC[WOS]:20 TC[Scopus]:22 | Submit date：2019/02/11
1-d Embedding  High-dimensional Data Processing  Hyperspectral Image (Hsi) Classification  Manifold Learning (Ml)  Smooth Interpolation  Smooth Ordering  Spatial Context  Spectral-spatial Metric  
Spatial-spectral metric learning for hyperspectral remote sensing image classification Conference paper
Peng Jiangtao, Zhou Yicong, Chen C.L.P.. Spatial-spectral metric learning for hyperspectral remote sensing image classification[C], 2014.
Authors:  Peng Jiangtao;  Zhou Yicong;  Chen C.L.P.
Favorite | TC[WOS]:1 TC[Scopus]:1 | Submit date：2018/12/21
Classification  Dimension Reduction  Hyperspectral Image  Metric Learning  
A no-reference image sharpness estimation based on expectation of wavelet transform coefficients Conference paper
Hengjun Zhao, Bin Fang, Yuan Yan Tang. A no-reference image sharpness estimation based on expectation of wavelet transform coefficients[C]:IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA, 2013, 374-378.
Authors:  Hengjun Zhao;  Bin Fang;  Yuan Yan Tang
Favorite | TC[WOS]:2 TC[Scopus]:4 | Submit date：2019/02/11
Image Sharpness Metric  Expectation  Wavelet Decomposition