Stop the war!Остановите войну!
for scientists:
default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDTommy W. S. Chow
Tommy Wai-Shing Chow
Person information
- affiliation: City University of Hong Kong
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2023
[j194]Linshan Jia
, Tommy W. S. Chow, Yixuan Yuan:
GTFE-Net: A Gramian Time Frequency Enhancement CNN for bearing fault diagnosis. Eng. Appl. Artif. Intell. 119: 105794 (2023)- [j193]Choujun Zhan, Yonglin Liu, Zeqiong Wu, Mingbo Zhao, Tommy W. S. Chow:
A hybrid machine learning framework for forecasting house price. Expert Syst. Appl. 233: 120981 (2023) - [j192]Tianjun Wei, Tommy W. S. Chow:
FGCR: Fused graph context-aware recommender system. Knowl. Based Syst. 277: 110806 (2023) - [j191]Tianjun Wei, Tommy W. S. Chow, Jianghong Ma, Mingbo Zhao:
ExpGCN: Review-aware Graph Convolution Network for explainable recommendation. Neural Networks 157: 202-215 (2023) - [j190]Xiaolei Lu, Tommy W. S. Chow:
Modeling Sequential Annotations for Sequence Labeling With Crowds. IEEE Trans. Cybern. 53(4): 2335-2345 (2023) - [j189]Mingxuan Mao, Xinying Feng, Jihao Xin, Tommy W. S. Chow:
A Convolutional Neural Network-Based Maximum Power Point Voltage Forecasting Method for Pavement PV Array. IEEE Trans. Instrum. Meas. 72: 1-9 (2023) - [j188]Yang Zhao, Tommy W. S. Chow:
Opinion Summarization via Submodular Information Measures. IEEE Trans. Knowl. Data Eng. 35(11): 11708-11721 (2023) - [c34]Tianjun Wei, Jianghong Ma, Tommy W. S. Chow:
Collaborative Residual Metric Learning. SIGIR 2023: 1107-1116 - [c33]Tianjun Wei, Jianghong Ma, Tommy W. S. Chow:
Fine-tuning Partition-aware Item Similarities for Efficient and Scalable Recommendation. WWW 2023: 823-832 - [i10]Tianjun Wei, Jianghong Ma, Tommy W. S. Chow:
Collaborative Residual Metric Learning. CoRR abs/2304.07971 (2023) - 2022
- [j187]Jianghong Ma, Tommy W. S. Chow, Haijun Zhang:
Semantic-Gap-Oriented Feature Selection and Classifier Construction in Multilabel Learning. IEEE Trans. Cybern. 52(1): 101-115 (2022) - [j186]Xiaolei Lu, Tommy W. S. Chow:
Weak Disambiguation for Partial Structured Output Learning. IEEE Trans. Cybern. 52(2): 1258-1268 (2022) - [j185]Jianghong Ma, Bernard Chi Yuen Chiu, Tommy W. S. Chow:
Multilabel Classification With Group-Based Mapping: A Framework With Local Feature Selection and Local Label Correlation. IEEE Trans. Cybern. 52(6): 4596-4610 (2022) - [j184]Jicong Fan, Tommy W. S. Chow, S. Joe Qin:
Kernel-Based Statistical Process Monitoring and Fault Detection in the Presence of Missing Data. IEEE Trans. Ind. Informatics 18(7): 4477-4487 (2022) - [j183]Yanxu Liu, Yu Wang, Tommy W. S. Chow, Baotong Li:
Deep Adversarial Subdomain Adaptation Network for Intelligent Fault Diagnosis. IEEE Trans. Ind. Informatics 18(9): 6038-6046 (2022) - [j182]Linshan Jia, Tommy W. S. Chow, Yu Wang, Yixuan Yuan:
Multiscale Residual Attention Convolutional Neural Network for Bearing Fault Diagnosis. IEEE Trans. Instrum. Meas. 71: 1-13 (2022) - [j181]Yu Wang, Yanxu Liu, Tommy W. S. Chow, Junwei Gu, Mingquan Zhang:
A Balanced Adversarial Domain Adaptation Method for Partial Transfer Intelligent Fault Diagnosis. IEEE Trans. Instrum. Meas. 71: 1-11 (2022) - [j180]Jianghong Ma, Tommy W. S. Chow:
Topic-Based Instance and Feature Selection in Multilabel Classification. IEEE Trans. Neural Networks Learn. Syst. 33(1): 315-329 (2022) - [i9]Tianjun Wei, Jianghong Ma, Tommy W. S. Chow:
Efficient and Scalable Recommendation via Item-Item Graph Partitioning. CoRR abs/2207.05959 (2022) - [i8]Xiaolei Lu, Tommy W. S. Chow:
Duration modeling with semi-Markov Conditional Random Fields for keyphrase extraction. CoRR abs/2209.09149 (2022) - [i7]Xiaolei Lu, Tommy W. S. Chow:
Partial sequence labeling with structured Gaussian Processes. CoRR abs/2209.09397 (2022) - [i6]Xiaolei Lu, Tommy W. S. Chow:
Weak Disambiguation for Partial Structured Output Learning. CoRR abs/2209.09410 (2022) - [i5]Xiaolei Lu, Tommy W. S. Chow:
Modeling sequential annotations for sequence labeling with crowds. CoRR abs/2209.09430 (2022) - 2021
- [j179]Yang Zhao, Tommy W. S. Chow:
Opinion subset selection via submodular maximization. Inf. Sci. 560: 283-306 (2021) - [j178]Yang Zhao, Tommy W. S. Chow:
Monotone submodular subset for sentiment analysis of online reviews. Neural Comput. Appl. 33(19): 12381-12396 (2021) - [j177]Jianghong Ma, Haijun Zhang, Tommy W. S. Chow:
Multilabel Classification With Label-Specific Features and Classifiers: A Coarse- and Fine-Tuned Framework. IEEE Trans. Cybern. 51(2): 1028-1042 (2021) - [j176]Yu Wang, Long He, Shan Jiang, Tommy W. S. Chow:
Failure Prediction of Hard Disk Drives Based on Adaptive Rao-Blackwellized Particle Filter Error Tracking Method. IEEE Trans. Ind. Informatics 17(2): 913-921 (2021) - [j175]Yu Wang, Yizhen Peng, Tommy W. S. Chow:
Adaptive Particle Filter-Based Approach for RUL Prediction Under Uncertain Varying Stresses With Application to HDD. IEEE Trans. Ind. Informatics 17(9): 6272-6281 (2021) - [j174]Xiaolei Lu, Tommy W. S. Chow:
Duration Modeling with Semi-Markov Conditional Random Fields for Keyphrase Extraction. IEEE Trans. Knowl. Data Eng. 33(4): 1453-1466 (2021) - 2020
- [j173]Xueli Chen, Mingquan Lin, He Cui, Yimin Chen, Arna van Engelen, Marleen de Bruijne, M. Reza Azarpazhooh, Seyed Mojtaba Sohrevardi, Tommy W. S. Chow, John David Spence, Bernard Chiu:
Three-dimensional ultrasound evaluation of the effects of pomegranate therapy on carotid plaque texture using locality preserving projection. Comput. Methods Programs Biomed. 184: 105276 (2020) - [j172]Jicong Fan, Mingbo Zhao, Tommy W. S. Chow:
Matrix Completion via Sparse Factorization Solved by Accelerated Proximal Alternating Linearized Minimization. IEEE Trans. Big Data 6(1): 119-130 (2020) - [j171]Haijun Zhang, Yanfang Sun, Mingbo Zhao, Tommy W. S. Chow, Q. M. Jonathan Wu:
Bridging User Interest to Item Content for Recommender Systems: An Optimization Model. IEEE Trans. Cybern. 50(10): 4268-4280 (2020) - [j170]Haijun Zhang, Wang Huang, Linlin Liu, Tommy W. S. Chow:
Learning to Match Clothing From Textual Feature-Based Compatible Relationships. IEEE Trans. Ind. Informatics 16(11): 6750-6759 (2020) - [j169]Dawei Li, Siyuan Yan, Mingbo Zhao, Tommy W. S. Chow:
Spatiotemporal Tree Filtering for Enhancing Image Change Detection. IEEE Trans. Image Process. 29: 8805-8820 (2020) - [j168]Hadrien Van Lierde, Tommy W. S. Chow, Guanrong Chen:
Scalable Spectral Clustering for Overlapping Community Detection in Large-Scale Networks. IEEE Trans. Knowl. Data Eng. 32(4): 754-767 (2020) - [j167]Jicong Fan, Tommy W. S. Chow:
Exactly Robust Kernel Principal Component Analysis. IEEE Trans. Neural Networks Learn. Syst. 31(3): 749-761 (2020)
2010 – 2019
- 2019
- [j166]Hadrien Van Lierde, Tommy W. S. Chow, Jean-Charles Delvenne:
Spectral clustering algorithms for the detection of clusters in block-cyclic and block-acyclic graphs. J. Complex Networks 7(1): 1-53 (2019) - [j165]Yuzhu Ji, Haijun Zhang, Kuo-Kun Tseng, Tommy W. S. Chow, Q. M. Jonathan Wu:
Graph model-based salient object detection using objectness and multiple saliency cues. Neurocomputing 323: 188-202 (2019) - [j164]Hadrien Van Lierde, Tommy W. S. Chow:
Query-oriented text summarization based on hypergraph transversals. Inf. Process. Manag. 56(4): 1317-1338 (2019) - [j163]Hadrien Van Lierde, Tommy W. S. Chow:
Learning with fuzzy hypergraphs: A topical approach to query-oriented text summarization. Inf. Sci. 496: 212-224 (2019) - [j162]Mingbo Zhao, Zhaoyang Tian, Tommy W. S. Chow:
Fault diagnosis on wireless sensor network using the neighborhood kernel density estimation. Neural Comput. Appl. 31(8): 4019-4030 (2019) - [j161]Jianghong Ma, Tommy W. S. Chow:
Label-specific feature selection and two-level label recovery for multi-label classification with missing labels. Neural Networks 118: 110-126 (2019) - [j160]Xiaohang Jin, Jicong Fan, Tommy W. S. Chow:
Fault Detection for Rolling-Element Bearings Using Multivariate Statistical Process Control Methods. IEEE Trans. Instrum. Meas. 68(9): 3128-3136 (2019) - [j159]Ang Yang, Yu Wang, Yanyang Zi, Tommy W. S. Chow:
An Enhanced Trace Ratio Linear Discriminant Analysis for Fault Diagnosis: An Illustrated Example Using HDD Data. IEEE Trans. Instrum. Meas. 68(12): 4629-4639 (2019) - [j158]Jianghong Ma, Tommy W. S. Chow:
Topic-Based Algorithm for Multilabel Learning With Missing Labels. IEEE Trans. Neural Networks Learn. Syst. 30(7): 2138-2152 (2019) - [c32]Yizhen Peng, Yu Wang, Tommy W. S. Chow:
Adaptive Remaining Useful Lifetime Prediction of Magnetic Head under Varying Stress Conditions. INDIN 2019: 1271-1274 - [c31]Yu Wang, Shan Jiang, Long He, Yizhen Peng, Tommy W. S. Chow:
Hard Disk Drives Failure Detection Using A Dynamic Tracking Method. INDIN 2019: 1473-1477 - [c30]Xiaolei Lu, Tommy W. S. Chow, Haijun Zhang:
Piecewise Large Margin Learning for Partially Annotated Sequences. INDIN 2019: 1483-1487 - [i4]Hadrien Van Lierde, Tommy W. S. Chow:
Query-oriented text summarization based on hypergraph transversals. CoRR abs/1902.00672 (2019) - [i3]Hadrien Van Lierde, Tommy W. S. Chow:
Learning with fuzzy hypergraphs: a topical approach to query-oriented text summarization. CoRR abs/1906.09445 (2019) - 2018
- [j157]Jianghong Ma, Tommy W. S. Chow:
Robust non-negative sparse graph for semi-supervised multi-label learning with missing labels. Inf. Sci. 422: 336-351 (2018) - [j156]Jicong Fan, Zhaoyang Tian, Mingbo Zhao, Tommy W. S. Chow:
Accelerated low-rank representation for subspace clustering and semi-supervised classification on large-scale data. Neural Networks 100: 39-48 (2018) - [j155]Jicong Fan, Tommy W. S. Chow, Mingbo Zhao, John K. L. Ho:
Nonlinear Dimensionality Reduction for Data with Disconnected Neighborhood Graph. Neural Process. Lett. 47(2): 697-716 (2018) - [j154]Jicong Fan, Tommy W. S. Chow:
Non-linear matrix completion. Pattern Recognit. 77: 378-394 (2018) - [j153]Haijun Zhang, Shuang Wang, Xiaofei Xu, Tommy W. S. Chow, Q. M. Jonathan Wu:
Tree2Vector: Learning a Vectorial Representation for Tree-Structured Data. IEEE Trans. Neural Networks Learn. Syst. 29(11): 5304-5318 (2018) - [i2]Jicong Fan, Tommy W. S. Chow:
Exactly Robust Kernel Principal Component Analysis. CoRR abs/1802.10558 (2018) - [i1]Hadrien Van Lierde, Tommy W. S. Chow, Jean-Charles Delvenne:
Spectral clustering algorithms for the detection of clusters in block-cyclic and block-acyclic graphs. CoRR abs/1805.00862 (2018) - 2017
- [j152]Jicong Fan, Tommy W. S. Chow:
Deep learning based matrix completion. Neurocomputing 266: 540-549 (2017) - [j151]Jianghong Ma, Zhaoyang Tian, Haijun Zhang, Tommy W. S. Chow:
Multi-Label Low-dimensional Embedding with Missing Labels. Knowl. Based Syst. 137: 65-82 (2017) - [j150]Jicong Fan, Tommy W. S. Chow:
Sparse subspace clustering for data with missing entries and high-rank matrix completion. Neural Networks 93: 36-44 (2017) - [j149]Jicong Fan, Tommy W. S. Chow:
Matrix completion by least-square, low-rank, and sparse self-representations. Pattern Recognit. 71: 290-305 (2017) - [j148]Mingbo Zhao, Tommy W. S. Chow, Peng Tang, Zengfu Wang, Jun Guo, Moshe Zukerman:
Route Selection for Cabling Considering Cost Minimization and Earthquake Survivability Via a Semi-Supervised Probabilistic Model. IEEE Trans. Ind. Informatics 13(2): 502-511 (2017) - [j147]Haijun Zhang, Xiong Cao, John K. L. Ho, Tommy W. S. Chow:
Object-Level Video Advertising: An Optimization Framework. IEEE Trans. Ind. Informatics 13(2): 520-531 (2017) - [c29]Mingbo Zhao, Tommy W. S. Chow, Haijun Zhang, Yan Li:
Rolling fault diagnosis via robust semi-supervised model with capped l2, 1-norm regularization. ICIT 2017: 1064-1069 - [c28]Dong Yang, Tommy W. S. Chow, Yichao Zhang, Guanrong Chen:
An exponential triangle model for the Facebook network based on big data. INDIN 2017: 992-996 - [c27]Hadrien Van Lierde, Tommy W. S. Chow:
Incorporating word embeddings in the hierarchical dirichlet process for query-oriented text summarization. INDIN 2017: 1037-1042 - [c26]Cong-Sheng Huang, Tommy Wai-Shing Chow, Mo-Yuen Chow:
Li-ion battery parameter identification with low pass filter for measurement noise rejection. ISIE 2017: 2075-2080 - [c25]Mingquan Lin, Weifu Chen, Mingbo Zhao, Eli Gibson, Matthew Bastian-Jordan, Derek W. Cool, Zahra Kassam, Tommy W. S. Chow, Aaron D. Ward, Bernard Chiu:
Prostate lesion detection and localization based on locality alignment discriminant analysis. Medical Imaging: Computer-Aided Diagnosis 2017: 101344A - 2016
- [j146]Wenlong Cheng, Tommy W. S. Chow, Ming-Bo Zhao:
Locality Constrained-ℓp Sparse Subspace Clustering for Image Clustering. Neurocomputing 205: 22-31 (2016) - [j145]Peng Tang, Ming-Bo Zhao, Tommy W. S. Chow:
Locality Alignment Discriminant Analysis for Visualizing Regional English. Neural Process. Lett. 43(1): 295-307 (2016) - [j144]Peng Tang, Tommy W. S. Chow:
Wireless Sensor-Networks Conditions Monitoring and Fault Diagnosis Using Neighborhood Hidden Conditional Random Field. IEEE Trans. Ind. Informatics 12(3): 933-940 (2016) - [j143]Xiaohang Jin, Yi Sun, Zijun Que, Yu Wang, Tommy W. S. Chow:
Anomaly Detection and Fault Prognosis for Bearings. IEEE Trans. Instrum. Meas. 65(9): 2046-2054 (2016) - [j142]Haijun Zhang, Tommy W. S. Chow, Q. M. Jonathan Wu:
Organizing Books and Authors by Multilayer SOM. IEEE Trans. Neural Networks Learn. Syst. 27(12): 2537-2550 (2016) - [j141]Zhao Zhang, Fanzhang Li, Tommy W. S. Chow, Li Zhang, Shuicheng Yan:
Sparse Codes Auto-Extractor for Classification: A Joint Embedding and Dictionary Learning Framework for Representation. IEEE Trans. Signal Process. 64(14): 3790-3805 (2016) - [c24]Mingbo Zhao, Tommy W. S. Chow, Kim Fung Tsang:
Vehicle route planning for logistics network optimization via multiple spanning tree. INDIN 2016: 800-805 - 2015
- [j140]Min Wei, Tommy W. S. Chow, Rosa H. M. Chan:
Clustering Heterogeneous Data with k-Means by Mutual Information-Based Unsupervised Feature Transformation. Entropy 17(3): 1535-1548 (2015) - [j139]Min Wei, Tommy W. S. Chow, Rosa H. M. Chan:
Heterogeneous feature subset selection using mutual information-based feature transformation. Neurocomputing 168: 706-718 (2015) - [j138]Ming-Bo Zhao, Tommy W. S. Chow, Zhou Wu, Zhao Zhang, Bing Li:
Learning from normalized local and global discriminative information for semi-supervised regression and dimensionality reduction. Inf. Sci. 324: 286-309 (2015) - [j137]Ming-Bo Zhao, Tommy W. S. Chow, Zhao Zhang, Bing Li:
Automatic image annotation via compact graph based semi-supervised learning. Knowl. Based Syst. 76: 148-165 (2015) - [j136]Zhao Zhang, Ming-Bo Zhao, Tommy W. S. Chow:
Graph Based Constrained Semi-Supervised Learning Framework via Label Propagation over Adaptive Neighborhood. IEEE Trans. Knowl. Data Eng. 27(9): 2362-2376 (2015) - [j135]Qingyao Wu, Yunming Ye, Haijun Zhang, Tommy W. S. Chow, Shen-Shyang Ho:
ML-TREE: A Tree-Structure-Based Approach to Multilabel Learning. IEEE Trans. Neural Networks Learn. Syst. 26(3): 430-443 (2015) - [j134]Lu Xu, Tommy W. S. Chow, Eden W. M. Ma:
Topology-Based Clustering Using Polar Self-Organizing Map. IEEE Trans. Neural Networks Learn. Syst. 26(4): 798-808 (2015) - [j133]Xiaohang Jin, Tommy W. S. Chow, Yi Sun, Jihong Shan, Bill C. P. Lau:
Kuiper test and autoregressive model-based approach for wireless sensor network fault diagnosis. Wirel. Networks 21(3): 829-839 (2015) - [c23]Mingbo Zhao, Tommy W. S. Chow:
Wireless sensor network fault detection via semi-supervised local kernel density estimation. ICIT 2015: 1495-1500 - [c22]Peng Tang, Tommy W. S. Chow:
Wireless sensor network faulty scenes diagnosis using high dimensional Neighborhood Hidden Conditional Random Field. INDIN 2015: 1130-1135 - 2014
- [j132]Ming-Bo Zhao, Zhao Zhang, Tommy W. S. Chow, Bing Li:
Soft label based Linear Discriminant Analysis for image recognition and retrieval. Comput. Vis. Image Underst. 121: 86-99 (2014) - [j131]Xiaohang Jin, Fang Yuan, Tommy W. S. Chow, Ming-Bo Zhao:
Weighted local and global regressive mapping: A new manifold learning method for machine fault classification. Eng. Appl. Artif. Intell. 30: 118-128 (2014) - [j130]Bill C. P. Lau, Eden W. M. Ma, Tommy W. S. Chow:
Probabilistic fault detector for Wireless Sensor Network. Expert Syst. Appl. 41(8): 3703-3711 (2014) - [j129]Peng Tang, Tommy W. S. Chow:
Mining language variation using word using and collocation characteristics. Expert Syst. Appl. 41(17): 7805-7819 (2014) - [j128]Bing Li, Tommy W. S. Chow, Peng Tang:
Analyzing rough set based attribute reductions by extension rule. Neurocomputing 123: 185-196 (2014) - [j127]Peng Tang, Ming-Bo Zhao, Tommy W. S. Chow:
Text style analysis using trace ratio criterion patch alignment embedding. Neurocomputing 136: 201-212 (2014) - [j126]Ming-Bo Zhao, Zhao Zhang, Tommy W. S. Chow, Bing Li:
A general soft label based Linear Discriminant Analysis for semi-supervised dimensionality reduction. Neural Networks 55: 83-97 (2014) - [j125]Ming-Bo Zhao, Rosa H. M. Chan, Tommy W. S. Chow, Peng Tang:
Compact Graph based Semi-Supervised Learning for Medical Diagnosis in Alzheimer's Disease. IEEE Signal Process. Lett. 21(10): 1192-1196 (2014) - [j124]Yuan Gao, Rosa H. M. Chan, Tommy W. S. Chow, Liyun Zhang, Sylvia Bonilla, Chi-Pui Pang, Mingzhi Zhang, Yuk Fai Leung:
A High-Throughput Zebrafish ScreeningMethod for Visual Mutants by Light-Induced Locomotor Response. IEEE ACM Trans. Comput. Biol. Bioinform. 11(4): 693-701 (2014) - [j123]Xiaohang Jin, Ming-Bo Zhao, Tommy W. S. Chow, Michael G. Pecht:
Motor Bearing Fault Diagnosis Using Trace Ratio Linear Discriminant Analysis. IEEE Trans. Ind. Electron. 61(5): 2441-2451 (2014) - [j122]Yu Wang, Eden W. M. Ma, Tommy W. S. Chow, Kwok-Leung Tsui:
A Two-Step Parametric Method for Failure Prediction in Hard Disk Drives. IEEE Trans. Ind. Informatics 10(1): 419-430 (2014) - [c21]Zhao Zhang, Ming-Bo Zhao, Tommy W. S. Chow:
Label propagation and soft-similarity measure for graph based Constrained Semi-Supervised Learning. IJCNN 2014: 2927-2934 - 2013
- [j121]Zhao Zhang, Tommy W. S. Chow, Ning Ye:
Semisupervised Multimodal Dimensionality Reduction. Comput. Intell. 29(1): 70-110 (2013) - [j120]Bing Li, Guanrong Chen, Tommy W. S. Chow:
Naming Game with Multiple Hearers. Commun. Nonlinear Sci. Numer. Simul. 18(5): 1214-1228 (2013) - [j119]Peng Tang, Tommy W. S. Chow:
Recognition of word collocation habits using frequency rank ratio and inter-term intimacy. Expert Syst. Appl. 40(11): 4301-4314 (2013) - [j118]Xiaohang Jin, Tommy W. S. Chow:
Anomaly detection of cooling fan and fault classification of induction motor using Mahalanobis-Taguchi system. Expert Syst. Appl. 40(15): 5787-5795 (2013) - [j117]Zhou Wu, Tommy W. S. Chow, Shi Cheng, Yuhui Shi:
Contour Gradient Optimization. Int. J. Swarm Intell. Res. 4(2): 1-28 (2013) - [j116]Xiao-Dong Li, Tommy W. S. Chow, L. L. Cheng:
Adaptive iterative learning control of non-linear MIMO continuous systems with iteration-varying initial error and reference trajectory. Int. J. Syst. Sci. 44(4): 786-794 (2013) - [j115]Bing Li, Tommy W. S. Chow, Di Huang:
A novel feature selection method and its application. J. Intell. Inf. Syst. 41(2): 235-268 (2013) - [j114]Zhou Wu, Tommy W. S. Chow:
Neighborhood field for cooperative optimization. Soft Comput. 17(5): 819-834 (2013) - [j113]Ming-Bo Zhao, Rosa H. M. Chan, Peng Tang, Tommy W. S. Chow, Savio W. H. Wong:
Trace Ratio Linear Discriminant Analysis for Medical Diagnosis: A Case Study of Dementia. IEEE Signal Process. Lett. 20(5): 431-434 (2013) - [j112]Zhao Zhang, Tommy W. S. Chow, Ming-Bo Zhao:
M-Isomap: Orthogonal Constrained Marginal Isomap for Nonlinear Dimensionality Reduction. IEEE Trans. Cybern. 43(1): 180-191 (2013) - [j111]Zhao Zhang, Tommy W. S. Chow, Ming-Bo Zhao:
Trace Ratio Optimization-Based Semi-Supervised Nonlinear Dimensionality Reduction for Marginal Manifold Visualization. IEEE Trans. Knowl. Data Eng. 25(5): 1148-1161 (2013) - [j110]Zhao Zhang, Ming-Bo Zhao, Tommy W. S. Chow:
Binary- and Multi-class Group Sparse Canonical Correlation Analysis for Feature Extraction and Classification. IEEE Trans. Knowl. Data Eng. 25(10): 2192-2205 (2013) - 2012
- [j109]Zhao Zhang, Tommy W. S. Chow:
Maximum Margin Multisurface Support Tensor Machines with application to image classification and segmentation. Expert Syst. Appl. 39(1): 849-860 (2012) - [j108]Haijun Zhang, Tommy W. S. Chow:
A multi-level matching method with hybrid similarity for document retrieval. Expert Syst. Appl. 39(3): 2710-2719 (2012) - [j107]