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2020 – today
- 2022
[j63]Jingwen Su, Boyan Xu, Hujun Yin
:
A survey of deep learning approaches to image restoration. Neurocomputing 487: 46-65 (2022)- [j62]Yao Peng, Bin Cui, Hujun Yin, Yonghong Zhang, Peijun Du:
Automatic SAR Change Detection Based on Visual Saliency and Multi-Hierarchical Fuzzy Clustering. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 15: 7755-7769 (2022) - [j61]Qing Tian, Yanan Zhu, Heyang Sun, Songcan Chen, Hujun Yin:
Unsupervised Domain Adaptation Through Dynamically Aligning Both the Feature and Label Spaces. IEEE Trans. Circuits Syst. Video Technol. 32(12): 8562-8573 (2022) - [j60]Qing Tian, Chuang Ma, Meng Cao, Songcan Chen, Hujun Yin:
A Convex Discriminant Semantic Correlation Analysis for Cross-View Recognition. IEEE Trans. Cybern. 52(2): 849-861 (2022) - [j59]Jing Huo, Xiangde Liu, Wenbin Li, Yang Gao, Hujun Yin, Jiebo Luo:
CAST: Learning Both Geometric and Texture Style Transfers for Effective Caricature Generation. IEEE Trans. Image Process. 31: 3347-3358 (2022) - [c97]Mengyuan Ma, Hujun Yin:
Scene Context Enhanced Network for Person Search. ICIP 2022: 2541-2545 - [c96]Qifan Zhou, Hujun Yin:
A U-Net Based Progressive GAN for Microscopic Image Augmentation. MIUA 2022: 458-468 - [e29]Hujun Yin, David Camacho, Peter Tiño:
Intelligent Data Engineering and Automated Learning - IDEAL 2022 - 23rd International Conference, IDEAL 2022, Manchester, UK, November 24-26, 2022, Proceedings. Lecture Notes in Computer Science 13756, Springer 2022, ISBN 978-3-031-21752-4 [contents] - 2021
- [j58]Ananya Gupta, Simon Watson, Hujun Yin:
Deep learning-based aerial image segmentation with open data for disaster impact assessment. Neurocomputing 439: 22-33 (2021) - [j57]Mengyu Liu, Hujun Yin:
Efficient pyramid context encoding and feature embedding for semantic segmentation. Image Vis. Comput. 111: 104195 (2021) - [j56]Tian Meng, Yang Tao, Ziqi Chen, Jorge R. Salas Avila, Qiaoye Ran, Yuchun Shao, Ruochen Huang, Yuedong Xie, Qian Zhao, Zhijie Zhang, Hujun Yin, Anthony J. Peyton, Wuliang Yin:
Depth Evaluation for Metal Surface Defects by Eddy Current Testing Using Deep Residual Convolutional Neural Networks. IEEE Trans. Instrum. Meas. 70: 1-13 (2021) - [j55]Qing Tian, Meng Cao, Songcan Chen, Hujun Yin:
Structure-Exploiting Discriminative Ordinal Multioutput Regression. IEEE Trans. Neural Networks Learn. Syst. 32(1): 266-280 (2021) - [j54]Aftab Khan, Hujun Yin:
Arbitrarily shaped Point Spread Function (PSF) estimation for single image blind deblurring. Vis. Comput. 37(7): 1661-1671 (2021) - [c95]Mengyu Liu, Hujun Yin:
Dual Graph-Based Context Aggregation for Scene Parsing. BMVC 2021: 212 - [c94]Jingwen Su, Hujun Yin:
Efficient Multi-Objective GANs for Image Restoration. ICASSP 2021: 1855-1859 - [c93]Mengyu Liu, Hujun Yin:
Sparse Spatial Attention Network For Semantic Segmentation. ICIP 2021: 644-648 - [c92]Tajul Miftahushudur, Bruce Grieve, Hujun Yin:
Ensemble Synthetic Oversampling with Manhattan Distance for Unbalanced Hyperspectral Data. IDEAL 2021: 54-64 - [c91]Boyan Xu, Hujun Yin:
DC-Deblur: A Dilated Convolutional Network for Single Image Deblurring. IDEAL 2021: 234-245 - [c90]Boyan Xu, Hujun Yin:
Graph Convolutional Networks in Feature Space for Image Deblurring and Super-resolution. IJCNN 2021: 1-8 - [c89]Hanlin Niu, Ze Ji, Farshad Arvin, Barry Lennox, Hujun Yin, Joaquín Carrasco:
Accelerated Sim-to-Real Deep Reinforcement Learning: Learning Collision Avoidance from Human Player. SII 2021: 144-149 - [c88]Hanlin Niu, Ze Ji, Pietro Liguori, Hujun Yin, Joaquín Carrasco:
Design, Integration and Sea Trials of 3D Printed Unmanned Aerial Vehicle and Unmanned Surface Vehicle for Cooperative Missions. SII 2021: 590-591 - [c87]Hanlin Niu, Ze Ji, Zihang Zhu, Hujun Yin, Joaquín Carrasco:
3D Vision-guided Pick-and-Place Using Kuka LBR iiwa Robot. SII 2021: 592-593 - [e28]Hujun Yin, David Camacho, Peter Tiño, Richard Allmendinger, Antonio J. Tallón-Ballesteros, Ke Tang, Sung-Bae Cho, Paulo Novais, Susana Nascimento:
Intelligent Data Engineering and Automated Learning - IDEAL 2021 - 22nd International Conference, IDEAL 2021, Manchester, UK, November 25-27, 2021, Proceedings. Lecture Notes in Computer Science 13113, Springer 2021, ISBN 978-3-030-91607-7 [contents] - [i17]Hanlin Niu, Ze Ji, Pietro Liguori, Hujun Yin, Joaquín Carrasco:
Design, Integration and Sea Trials of 3D Printed Unmanned Aerial Vehicle and Unmanned Surface Vehicle for Cooperative Missions. CoRR abs/2102.10709 (2021) - [i16]Hanlin Niu, Ze Ji, Zihang Zhu, Hujun Yin, Joaquín Carrasco:
3D Vision-guided Pick-and-Place Using Kuka LBR iiwa Robot. CoRR abs/2102.10710 (2021) - [i15]Hanlin Niu, Ze Ji, Farshad Arvin, Barry Lennox, Hujun Yin, Joaquín Carrasco:
Accelerated Sim-to-Real Deep Reinforcement Learning: Learning Collision Avoidance from Human Player. CoRR abs/2102.10711 (2021) - [i14]Tian Meng, Yang Tao, Ziqi Chen, Jorge R. Salas Avila, Qiaoye Ran, Yuchun Shao, Ruochen Huang, Yuedong Xie, Qian Zhao, Zhijie Zhang, Hujun Yin, Anthony J. Peyton, Wuliang Yin:
Depth Evaluation for Metal Surface Defects by Eddy Current Testing using Deep Residual Convolutional Neural Networks. CoRR abs/2104.02472 (2021) - [i13]Boyan Xu, Hujun Yin:
Graph Convolutional Networks in Feature Space for Image Deblurring and Super-resolution. CoRR abs/2105.10465 (2021) - [i12]Mengyu Liu, Hujun Yin:
Sparse Spatial Attention Network for Semantic Segmentation. CoRR abs/2109.01915 (2021) - 2020
- [j53]Antonio González-Pardo, Antonio J. Tallón-Ballesteros, Hujun Yin:
Special issue on new trends and challenges of bio-inspired computational intelligence algorithms in massively complex systems. Expert Syst. J. Knowl. Eng. 37(6) (2020) - [j52]Yao Peng, Richard Hankins, Hujun Yin:
Data-Independent Feature Learning with Markov Random Fields in Convolutional Neural Networks. Neurocomputing 378: 24-35 (2020) - [j51]Qing Tian, Wenqiang Zhang, Junxiang Mao, Hujun Yin:
Real-time human cross-race aging-related face appearance detection with deep convolution architecture. J. Real Time Image Process. 17(1): 83-93 (2020) - [j50]Ananya Gupta, Jonathan Byrne, David Moloney, Simon Watson, Hujun Yin:
Tree Annotations in LiDAR Data Using Point Densities and Convolutional Neural Networks. IEEE Trans. Geosci. Remote. Sens. 58(2): 971-981 (2020) - [j49]Qing Tian, Wenqiang Zhang, Meng Cao, Liping Wang, Songcan Chen, Hujun Yin:
Moment-Guided Discriminative Manifold Correlation Learning on Ordinal Data. ACM Trans. Intell. Syst. Technol. 11(5): 61:1-61:18 (2020) - [c86]Sebastian Flennerhag, Andrei A. Rusu, Razvan Pascanu, Francesco Visin, Hujun Yin, Raia Hadsell:
Meta-Learning with Warped Gradient Descent. ICLR 2020 - [c85]Jingwen Su, Hujun Yin:
Improving Adversarial Learning with Image Quality Measures for Image Deblurring. IDEAL (1) 2020: 160-171 - [c84]Boyan Xu, Hujun Yin:
A Slimmer and Deeper Approach to Network Structures for Image Denoising and Dehazing. IDEAL (1) 2020: 268-279 - [c83]Halil Mertkan Sahin, Bruce Grieve, Hujun Yin:
Automatic Multispectral Image Classification of Plant Virus from Leaf Samples. IDEAL (1) 2020: 374-384 - [c82]Ananya Gupta, Simon Watson, Hujun Yin:
3D Point Cloud Feature Explanations Using Gradient-Based Methods. IJCNN 2020: 1-8 - [e27]Cesar Analide, Paulo Novais, David Camacho, Hujun Yin:
Intelligent Data Engineering and Automated Learning - IDEAL 2020 - 21st International Conference, Guimaraes, Portugal, November 4-6, 2020, Proceedings, Part I. Lecture Notes in Computer Science 12489, Springer 2020, ISBN 978-3-030-62361-6 [contents] - [e26]Cesar Analide, Paulo Novais, David Camacho, Hujun Yin:
Intelligent Data Engineering and Automated Learning - IDEAL 2020 - 21st International Conference, Guimaraes, Portugal, November 4-6, 2020, Proceedings, Part II. Lecture Notes in Computer Science 12490, Springer 2020, ISBN 978-3-030-62364-7 [contents] - [i11]Ananya Gupta, Simon Watson, Hujun Yin:
3D Point Cloud Feature Explanations Using Gradient-Based Methods. CoRR abs/2006.05548 (2020) - [i10]Ananya Gupta, Jonathan Byrne, David Moloney, Simon Watson, Hujun Yin:
Tree Annotations in LiDAR Data Using Point Densities and Convolutional Neural Networks. CoRR abs/2006.05560 (2020) - [i9]Ananya Gupta, Simon Watson, Hujun Yin:
Deep Learning-based Aerial Image Segmentation with Open Data for Disaster Impact Assessment. CoRR abs/2006.05575 (2020) - [i8]Ananya Gupta, Elisabeth Welburn, Simon Watson, Hujun Yin:
CNN-Based Semantic Change Detection in Satellite Imagery. CoRR abs/2006.05589 (2020)
2010 – 2019
- 2019
- [j48]Yao Peng, Hujun Yin:
ApprGAN: appearance-based GAN for facial expression synthesis. IET Image Process. 13(14): 2706-2715 (2019) - [j47]Qing Tian, Meng Cao, Songcan Chen, Hujun Yin:
Relationships Self-Learning Based Gender-Aware Age Estimation. Neural Process. Lett. 50(3): 2141-2160 (2019) - [c81]Mengyu Liu, Hujun Yin:
Feature Pyramid Encoding Network for Real-time Semantic Segmentation. BMVC 2019: 260 - [c80]Ananya Gupta, Elisabeth Welburn, Simon Watson, Hujun Yin:
Post Disaster Mapping With Semantic Change Detection in Satellite Imagery. CVPR Workshops 2019: 472-474 - [c79]Corneliu T. C. Arsene, Richard Hankins, Hujun Yin:
Deep Learning Models for Denoising ECG Signals. EUSIPCO 2019: 1-5 - [c78]Ananya Gupta, Elisabeth Welburn, Simon Watson, Hujun Yin:
CNN-Based Semantic Change Detection in Satellite Imagery. ICANN (Workshop) 2019: 669-684 - [c77]Mengyu Liu, Hujun Yin:
Cross Attention Network for Semantic Segmentation. ICIP 2019: 2434-2438 - [c76]Ananya Gupta, Yao Peng, Simon Watson, Hujun Yin:
Multitemporal Aerial Image Registration Using Semantic Features. IDEAL (2) 2019: 78-86 - [c75]Xingang Mou, Jian Cui, Hujun Yin, Xiao Zhou:
Tracking Position and Status of Electric Control Switches Based on YOLO Detector. IDEAL (1) 2019: 184-194 - [c74]Jingwen Su, Yao Peng, Hujun Yin:
Image Quality Constrained GAN for Super-Resolution. IDEAL (1) 2019: 247-256 - [e25]Hujun Yin, David Camacho, Peter Tiño, Antonio J. Tallón-Ballesteros, Ronaldo Menezes, Richard Allmendinger:
Intelligent Data Engineering and Automated Learning - IDEAL 2019 - 20th International Conference, Manchester, UK, November 14-16, 2019, Proceedings, Part I. Lecture Notes in Computer Science 11871, Springer 2019, ISBN 978-3-030-33606-6 [contents] - [e24]Hujun Yin, David Camacho, Peter Tiño, Antonio J. Tallón-Ballesteros, Ronaldo Menezes, Richard Allmendinger:
Intelligent Data Engineering and Automated Learning - IDEAL 2019 - 20th International Conference, Manchester, UK, November 14-16, 2019, Proceedings, Part II. Lecture Notes in Computer Science 11872, Springer 2019, ISBN 978-3-030-33616-5 [contents] - [i7]Mengyu Liu, Hujun Yin:
Cross Attention Network for Semantic Segmentation. CoRR abs/1907.10958 (2019) - [i6]Ananya Gupta, Yao Peng, Simon Watson, Hujun Yin:
Multi-Temporal High Resolution Aerial Image Registration Using Semantic Features. CoRR abs/1908.11822 (2019) - [i5]Sebastian Flennerhag, Andrei A. Rusu, Razvan Pascanu, Hujun Yin, Raia Hadsell:
Meta-Learning with Warped Gradient Descent. CoRR abs/1909.00025 (2019) - [i4]Mengyu Liu, Hujun Yin:
Feature Pyramid Encoding Network for Real-time Semantic Segmentation. CoRR abs/1909.08599 (2019) - 2018
- [j46]Yicun Ouyang, Hujun Yin:
Multi-Step Time Series Forecasting with an Ensemble of Varied Length Mixture Models. Int. J. Neural Syst. 28(4): 1750053:1-1750053:13 (2018) - [j45]Xiaohong Chen, Hujun Yin, Fan Jiang, Liping Wang:
Multi-view dimensionality reduction based on Universum learning. Neurocomputing 275: 2279-2286 (2018) - [j44]Qing Tian, Wenqiang Zhang, Liping Wang, Songcan Chen, Hujun Yin:
Robust ordinal regression induced by lp-centroid. Neurocomputing 313: 184-195 (2018) - [j43]Yao Peng, Hujun Yin:
Facial expression analysis and expression-invariant face recognition by manifold-based synthesis. Mach. Vis. Appl. 29(2): 263-284 (2018) - [j42]Ali AlSuwaidi, Bruce Grieve, Hujun Yin:
Feature-Ensemble-Based Novelty Detection for Analyzing Plant Hyperspectral Datasets. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 11(4): 1041-1055 (2018) - [j41]Jing Huo, Yang Gao, Yinghuan Shi, Wanqi Yang, Hujun Yin:
Heterogeneous Face Recognition by Margin-Based Cross-Modality Metric Learning. IEEE Trans. Cybern. 48(6): 1814-1826 (2018) - [j40]Jing Huo, Yang Gao, Yinghuan Shi, Hujun Yin:
Cross-Modal Metric Learning for AUC Optimization. IEEE Trans. Neural Networks Learn. Syst. 29(10): 4844-4856 (2018) - [c73]Jing Huo, Wenbin Li, Yinghuan Shi, Yang Gao, Hujun Yin:
WebCaricature: a benchmark for caricature recognition. BMVC 2018: 223 - [c72]Ananya Gupta, Jonathan Byrne, David Moloney, Simon Watson, Hujun Yin:
Automatic Tree Annotation in LiDAR Data. GISTAM 2018: 36-41 - [c71]Richard Hankins, Yao Peng, Hujun Yin:
Towards Complex Features: Competitive Receptive Fields in Unsupervised Deep Networks. IDEAL (1) 2018: 838-848 - [c70]Yao Peng, Menyu Liu, Hujun Yin:
Deep Neural Networks with Markov Random Field Models for Image Classification. IDEAL (1) 2018: 849-859 - [c69]Richard Hankins, Yao Peng, Hujun Yin:
SOMNet: Unsupervised Feature Learning Networks for Image Classification. IJCNN 2018: 1-8 - [c68]Sebastian Flennerhag, Hujun Yin, John A. Keane, Mark Elliot:
Breaking the Activation Function Bottleneck through Adaptive Parameterization. NeurIPS 2018: 7750-7761 - [e23]Hujun Yin, David Camacho, Paulo Novais, Antonio J. Tallón-Ballesteros:
Intelligent Data Engineering and Automated Learning - IDEAL 2018 - 19th International Conference, Madrid, Spain, November 21-23, 2018, Proceedings, Part I. Lecture Notes in Computer Science 11314, Springer 2018, ISBN 978-3-030-03492-4 [contents] - [e22]Hujun Yin, David Camacho, Paulo Novais, Antonio J. Tallón-Ballesteros:
Intelligent Data Engineering and Automated Learning - IDEAL 2018 - 19th International Conference, Madrid, Spain, November 21-23, 2018, Proceedings, Part II. Lecture Notes in Computer Science 11315, Springer 2018, ISBN 978-3-030-03495-5 [contents] - [i3]Sebastian Flennerhag, Hujun Yin, John A. Keane, Mark Elliot:
Breaking the Activation Function Bottleneck through Adaptive Parameterization. CoRR abs/1805.08574 (2018) - 2017
- [j39]Weilin Huang, Hujun Yin:
Robust face recognition with structural binary gradient patterns. Pattern Recognit. 68: 126-140 (2017) - [c67]Ali AlSuwaidi, Bruce Grieve, Hujun Yin:
Towards Spectral-Texture Approach to Hyperspectral Image Analysis for Plant Classification. IDEAL 2017: 251-260 - [c66]Yao Peng, Hujun Yin:
Markov Random Field Based Convolutional Neural Networks for Image Classification. IDEAL 2017: 387-396 - [c65]Xiaohong Chen, Hujun Yin, Menglei Hu, Liping Wang:
Universum Discriminant Canonical Correlation Analysis. IDEAL 2017: 560-570 - [c64]Jing Huo, Yang Gao, Yinghuan Shi, Hujun Yin:
Variation Robust Cross-Modal Metric Learning for Caricature Recognition. ACM Multimedia (Thematic Workshops) 2017: 340-348 - [e21]Hujun Yin, Yang Gao, Songcan Chen, Yimin Wen, Guoyong Cai, Tianlong Gu, Junping Du, Antonio J. Tallón-Ballesteros, Min-Ling Zhang:
Intelligent Data Engineering and Automated Learning - IDEAL 2017 - 18th International Conference, Guilin, China, October 30 - November 1, 2017, Proceedings. Lecture Notes in Computer Science 10585, Springer 2017, ISBN 978-3-319-68934-0 [contents] - [i2]Jing Huo, Wenbin Li, Yinghuan Shi, Yang Gao, Hujun Yin:
WebCaricature: a benchmark for caricature face recognition. CoRR abs/1703.03230 (2017) - 2016
- [c63]Yao Peng, Hujun Yin:
Expression Classification and Intensity Estimation by Expression Manifold Synthesis. IDEAL 2016: 635-644 - [c62]Jing Huo, Yang Gao, Yinghuan Shi, Wanqi Yang, Hujun Yin:
Ensemble of Sparse Cross-Modal Metrics for Heterogeneous Face Recognition. ACM Multimedia 2016: 1405-1414 - [e20]Hujun Yin, Yang Gao, Bin Li, Daoqiang Zhang, Ming Yang, Yun Li, Frank Klawonn, Antonio J. Tallón-Ballesteros:
Intelligent Data Engineering and Automated Learning - IDEAL 2016 - 17th International Conference, Yangzhou, China, October 12-14, 2016, Proceedings. Lecture Notes in Computer Science 9937, Springer 2016, ISBN 978-3-319-46256-1 [contents] - 2015
- [c61]Shireen Mohd Zaki, Hujun Yin:
Multi-manifold Approach to Multi-view Face Recognition. IDEAL 2015: 370-377 - [c60]Yicun Ouyang, Hujun Yin:
Multistep Forecast of FX Rates Using an Extended Self-organizing Regressive Neural Network. IDEAL 2015: 449-456 - [c59]Hujun Yin, Shireen Mohd Zaki:
A Self-Organising Multi-Manifold Learning Algorithm. IWINAC (2) 2015: 389-398 - [e19]Konrad Jackowski, Robert Burduk, Krzysztof Walkowiak, Michal Wozniak, Hujun Yin:
Intelligent Data Engineering and Automated Learning - IDEAL 2015 - 16th International Conference Wroclaw, Poland, October 14-16, 2015, Proceedings. Lecture Notes in Computer Science 9375, Springer 2015, ISBN 978-3-319-24833-2 [contents] - [i1]Weilin Huang, Hujun Yin:
Robust Face Recognition with Structural Binary Gradient Patterns. CoRR abs/1506.00481 (2015) - 2014
- [j38]Jing Huo, Yang Gao, Wanqi Yang, Hujun Yin:
Multi-Instance Dictionary Learning for Detecting Abnormal Events in Surveillance Videos. Int. J. Neural Syst. 24(3) (2014) - [j37]Yu-Bin Yang, Ya-Nan Li, Yang Gao, Hujun Yin, Ye Tang:
Structurally Enhanced Incremental Neural Learning for Image Classification with Subgraph Extraction. Int. J. Neural Syst. 24(7) (2014) - [j36]Yicun Ouyang, Hujun Yin:
A neural gas mixture autoregressive network for modelling and forecasting FX time series. Neurocomputing 135: 171-179 (2014) - [j35]Lei A. Clifton, David A. Clifton, Yang Zhang, Peter J. Watkinson, Lionel Tarassenko, Hujun Yin:
Probabilistic Novelty Detection With Support Vector Machines. IEEE Trans. Reliab. 63(2): 455-467 (2014) - [c58]Yicun Ouyang, Hujun Yin:
Time series prediction with a non-causal neural network. CIFEr 2014: 25-31 - [c57]Yicun Ouyang, Hujun Yin:
Multi-step Forecast Based on Modified Neural Gas Mixture Autoregressive Model. IDEAL 2014: 102-109 - [c56]Liang Chen, Ming Yang, Cheng Deng, Hujun Yin:
Linear Regression Fisher Discrimination Dictionary Learning for Hyperspectral Image Classification. IDEAL 2014: 247-254 - [e18]Emilio Corchado, José Antonio Lozano, Héctor Quintián, Hujun Yin:
Intelligent Data Engineering and Automated Learning - IDEAL 2014 - 15th International Conference, Salamanca, Spain, September 10-12, 2014. Proceedings. Lecture Notes in Computer Science 8669, Springer 2014, ISBN 978-3-319-10839-1 [contents] - 2013
- [c55]Yusheng Jia, Wanqi Yang, Yang Gao, Hujun Yin, Yinghuan Shi:
Image Super Resolution via Visual Prior Based Digital Image Characteristics. IDEAL 2013: 168-177 - [c54]Yicun Ouyang, Hujun Yin:
Forecasting Financial Time Series Using a Hybrid Self-Organising Neural Model. IDEAL 2013: 262-269 - [c53]Liqiang Qian, Yinghuan Shi, Yang Gao, Hujun Yin:
Voting-XCSc: A Consensus Clustering Method via Learning Classifier System. IDEAL 2013: 603-610 - [e17]Hujun Yin, Ke Tang, Yang Gao, Frank Klawonn, Minho Lee, Thomas Weise, Bin Li, Xin Yao:
Intelligent Data Engineering and Automated Learning - IDEAL 2013 - 14th International Conference, IDEAL 2013, Hefei, China, October 20-23, 2013. Proceedings. Lecture Notes in Computer Science 8206, Springer 2013, ISBN 978-3-642-41277-6 [contents] - 2012
- [j34]Aftab Khan, Hujun Yin:
Efficient blind image deconvolution using spectral non-Gaussianity. Integr. Comput. Aided Eng. 19(4): 331-340 (2012) - [j33]Hujun Yin, David A. Clifton:
Introduction. Int. J. Neural Syst. 22(5) (2012) - [j32]Weilin Huang, Hujun Yin:
On nonlinear dimensionality reduction for face recognition. Image Vis. Comput. 30(4-5): 355-366 (2012) - [c52]Zareen Mehboob, Hujun Yin, Sophie M. Wuerger, Laura M. Parkes:
Multivoxel Pattern Analysis Using Information-Preserving EMD. IDEAL 2012: 19-26 - [c51]Jing Huo, Yang Gao, Wanqi Yang, Hujun Yin:
Abnormal Event Detection via Multi-Instance Dictionary Learning. IDEAL 2012: 76-83 - [e16]Hujun Yin, José Alfredo Ferreira Costa, Guilherme De A. Barreto:
Intelligent Data Engineering and Automated Learning - IDEAL 2012 - 13th International Conference, Natal, Brazil, August 29-31, 2012. Proceedings. Lecture Notes in Computer Science 7435, Springer 2012, ISBN 978-3-642-32638-7 [contents] - 2011
- [j31]Zareen Mehboob, Hujun Yin:
Information Quantification of Empirical Mode Decomposition and Applications to Field Potentials. Int. J. Neural Syst. 21(1): 49-63 (2011) - [j30]Bruno Baruque, Emilio Corchado, Hujun Yin:
The S2-Ensemble Fusion Algorithm. Int. J. Neural Syst. 21(6): 505-525 (2011) - [j29]Hujun Yin:
Introduction. Int. J. Neural Syst. 21(6) (2011) - [c50]