武汉大学计算机学院杜博,杜博(武汉大学计算机学院教授)_360百科 红太狼 2022-10-12 04:06 235阅读 0赞 Exploring Representativeness and Informativeness for Active LearningB. Du, Z. Wang, L. Zhang, etc..IEEE Transactions on Cybernetics:2015,vol. 99,pp. 1-13下载全文 A discriminative metric learning based anomaly detection methodB. Du and L. Zhang.IEEE Transactions on Geoscience and Remote Sensing:2014,vol.52,no.11,pp.6844-6857下载全文. Stacked Convolutional Denoising Auto-Encoders for Feature RepresentationB. Du, W. Xiong, L. Zhang, etc..IEEE Transactions on Cybernetics:2016,vol. 99,pp. 1-11下载全文 Target detection based on a dynamic subspaceB. Du and L. Zhang.Pattern Recognition:2014,vol. 47, no. 1,pp.344-358下载全文 Random-Selection-Based Anomaly Detector for Hyperspectral ImageryB. Du, L. Zhang.IEEE Transactions on Geoscience and Remote Sensing:2011,vol. 49, no. 5,pp.1578-1589下载全文 Spatial Coherence Based Batch-Mode Active Learning for Remote Sensing Images ClassificationQ. Shi, B. Du, and L. Zhang.IEEE Transactions on Image Processing:2015,vol. 24,pp.2037-2050下载全文 Hyperspectral signal unmixing based on constrained non-negative matrix factorization approachB. Du, S. Wang, N. Wang, et al..Neurocomputing:2016,vol.204,pp.153–161下载全文 A spectral-spatial based local summation anomaly detection method for hyperspectral imagesB. Du, R. Zhao, L. Zhang, et al..Signal Processing:2016,vol. 124,pp.115–131下载全文 A hypothesis independent subpixel target detector for hyperspectral ImagesB. Du, Y. Zhang, and L. Zhang.Signal Processing:2015,vol. 110,pp. 244-249下载全文 Unsupervised transfer learning for target detection from hyperspectral imagesB. Du, L. Zhang, D. Tao, and D. Zhang.Neurocomputing:2013,vol. 120,pp. 72-82下载全文 A Discriminative Manifold Learning Based Dimension Reduction Method for Hyperspectral ClassificationB. Du, L. Zhang, L. Zhang, T. Chen, K. Wu.International Journal of Fuzzy Systems:2012,vol. 14, no. 2,pp, 272-277下载全文 Hyperspectral Unmixing via Double Abundance Characteristics Constraints Based NMF\[12\] R. Liu, B. Du, and L. Zhang.Remote Sensing:2016,vol. 8, no. 6下载全文 A batch-mode active learning framework by querying discriminative and representative samples for hyperspectral image classificationZ. Wang, B. Du, L. Zhang, and L. Zhang.Neurocomputing:2016,vol. 179,pp. 88-100下载全文 Ensemble Manifold Regularized Sparse Low-Rank Approximation for Multiview Feature EmbeddingL Zhang, Q Zhang, L Zhang, D Tao, X Huang, B Du\*.Pattern Recognition:2015,vol. 48, no. 10,pp. 3102-3112下载全文 Compression of hyperspectral remote sensing images by tensor approachL. Zhang, L. Zhang, D. Tao, X. Huang, B. Du.Neurocomputing:2015,vol. 147,pp. 358-363下载全文 Hyperspectral anomaly change detection with slow feature analysisC. Wu, L. Zhang, and B. Du.Neurocomputing:2015,vol. 151,pp. 175-187下载全文 A sparse and discriminative tensor to vector projection for human gait feature representationL. Zhang, L. Zhang, D. Tao, B. Du.Signal Processing:2015,vol. 106,pp. 245–252下载全文 Maximum margin metric learning based target detection for hyperspectral imagesY. Dong, L. Zhang, L. Zhang, B. Du.ISPRS Journal of Photogrammetry and Remote Sensing:2015,vol. 108,pp. 138–150下载全文 Endmember number estimation for hyperspectral imagery based on vertex component analysisR. Liu, B. Du, L. Zhang.Journal of Applied Remote Sensing:2014,vol. 8, no. 1,pp. 085093-085093下载全文 Hybrid Detectors Based on Selective EndmembersL. Zhang, B. Du, and Y. Zhong.IEEE Transactions on Geoscience and Remote Sensing:2010,vol. 48, no. 6,pp. 2633-2646下载全文 An Abundance Characteristic Based Independent Component Analysis for Hyperspectral UnmxingN. Wang, B. Du, L. Zhang.IEEE Transactions on Geoscience and Remote Sensing:2015,vol. 53, no. 1,pp. 416-428下载全文 A Sparse Representation-Based Binary Hypothesis Model for Target Detection in Hyperspectral ImagesY. Zhang, B. Du, and L. Zhang.IEEE Transactions on Geoscience and Remote Sensing:2015,vol. 53, no. 3,pp. 1346-1354下载全文 Efficient Compressed Sensing Tracking via Mixed Classifiers DecisionH. Sun, J. Li, J. Chang, B. Du, et al..SCIENCE CHINA Information Sciences:2015 Slow Feature Analysis for Change Detection in Multispectral ImageryC. Wu, B. Du, and L. Zhang.IEEE Transactions on Geoscience and Remote Sensing:2014,vol. 52, no. 5,pp. 2858-2874下载全文 Semisupervised Discriminative Locally Enhanced Alignment for Hyperspectral Image ClassificationQ. Shi, L. Zhang, and B. Du.IEEE Transactions on Geoscience and Remote Sensing:2013,vol. 51, no. 9,pp. 4800-4815下载全文 Automatic radiometric normalization for multitemporal remote sensing imagery with iterative slow feature analysisL. Zhang, C. Wu, and B. Du.IEEE Transactions on Geoscience and Remote Sensing:2014,vol. 52, no. 10,pp. 6141-6155下载全文 Hyperspectral Remote Sensing Image Subpixel Target Detection Based on Supervised Metric LearningL. Zhang, L. Zhang, D. Tao, X. Huang, and B. Du.IEEE Transactions on Geoscience and Remote Sensing:2014,vol. 52, no. 8,pp. 4955-4965下载全文 A Background Self-Learning Framework for Unstructured Target DetectorsT. Wang, B. Du, and L. Zhang.IEEE Geoscience and Remote Sensing Letters:2013,vol. 10, no. 6,pp. 1577-1581下载全文 A Kernel-Based Target-Constrained Interference-Minimized Filter for Hyperspectral Sub-Pixel Target DetectionT. Wang, B. Du, and L. Zhang.IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing:2013,vol. 6, no. 2,pp. 626-637下载全文 An Endmember Dissimilarity Constrained Non-Negative Matrix Factorization Method for Hyperspectral UnmixingN. Wang, B. Du, and L. Zhang.IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing:2013,vol. 6, no. 2,pp. 554-569下载全文 A Subspace-Based Change Detection Method for Hyperspectral ImagesC. Wu, B. Du, and L. Zhang.IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing:2013,vol. 6, no. 2,pp. 815-830下载全文 Regularization Framework for Target Detection in Hyperspectral ImageryY. Zhang, B. Du, and L. Zhang.IEEE Geoscience and Remote Sensing Letters:2014,vol.11, no.1,pp. 313-317下载全文 A Robust Nonlinear Hyperspectral Anomaly Detection ApproachR. Zhao, B. Du, and L. Zhang.IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing:2014,vol. 7, no. 4,pp. 1227-1234下载全文 Spatial-Spectral Information Based Abundance-Constrained Endmember Extraction MethodsM. Xu, B. Du, and L. Zhang.IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing:2014,vol. 7, no. 6,pp. 2004-2015下载全文 An Automatic Robust Iteratively Reweighted Unstructured Detector for Hyperspectral ImageryT. Wang, B. Du, L. Zhang.IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing:2014,vol. 7, no. 6,pp. 2367-2382下载全文 A Nonlinear Sparse Representation Based Binary Hypothesis Model for Hyperspectral Target DetectionY. Zhang, B. Du, and L. Zhang.IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing:2014下载全文 An Image-Based Endmember Bundle Extraction Algorithm Using Both Spatial and Spectral InformationM. Xu, L. Zhang, and B. Du.IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing:2015下载全文 Super-resolution land-cover mapping based on the selective endmember spectral mixture model in hyperspectral imageryK. Wu\*, L. Zhang, R. Niu, B. Du.Optical Engineering:2011,vol.50, no.12,pp.1-14下载全文 Regional soil erosion risk mapping using RUSLE, GIS, and remote sensing: a case study in Miyun Watershed, North ChinaT. Chen, R. Niu, P. Li, L. Zhang, B. Du.Environmental Earth Sciences:2011,vol. 63, no. 3,pp. 533-541下载全文 MMFE: Multitask Multiview Feature EmbeddingQ. Zhang, L. Zhang, B. Du, et al..2015 IEEE International Conference on Data Mining (ICDM):下载全文 Impact of fractional vegetation cover change on soil erosion in Miyun reservoir basin, ChinaR. Niu, B. Du, Y. Wang, L. Zhang, and T. Chen.Environmental Earth Sciences:2014,vol. 72, no.8,pp. 2741-2749下载全文 An Image-Based Endmember Bundle Extraction Algorithm Using Reconstruction Error for Hyperspectral ImageryM. Xu, L. Zhang, B. Du, and L. Zhang.Neurocomputing:下载全文 A hybrid chaos-particle swarm optimization algorithm for the vehicle routing problem with time windowW. Hu, H. Liang, C. Peng, B. Du, and Q. Hu.Entropy:2013,vol. 15, no. 14,pp. 1247-1270下载全文 An on‐demand data broadcasting scheduling algorithm based on dynamic index strategyW. Hu\*, C. Fan, J. Luo, C. Peng, and B. Du.Wireless Communications and Mobile Computing:2013,vol. 13, no. 10下载全文 A multi-intersection model and signal timing plan algorithm for urban traffic signal controlW. Hu\*, H. Wang, B. Du, and L. Yan.Transport:2014,pp. 1-11下载全文 A hybrid column generation algorithm based on metaheuristic optimizationW. Hu, B. Du, Y. Wu, H. Liang, C. Peng, and Q. Hu.Transport:2013,pp. 1-19下载全文 An outer–inner fuzzy cellular automata algorithm for dynamic uncertainty multi-project scheduling problemW. Hu, H. Wang, C. Peng, H. Wang, H. Liang, and B. Du.Soft Computing:2014,pp. 1-22下载全文 Band Selection Using Improved Sparse Subspace Clustering for Hyperspectral Imagery ClassificationSun, W.; Zhang, L.; Du, B.; Li, W.; Mark Lai, Y..IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing:2015,no. 99,pp. 1–14下载全文 SCDAE: Stacked Convolutional Denoising Autoencoders towards Robust Unsuperived Feature RepresentationW. Xiong, B. Du, L Zhang, et al..2016 The Annual International Joint Conference on Neural Networks(IJCNN): Sparse Tensor Discriminative Locality Alignment for Gait RecognitionN. Zhao, L. Zhang and B. Du,.2016 The Annual International Joint Conference on Neural Networks(IJCNN): R2FP: rich and robust feature pooling for mining visual dataW. Xiong, B. Du, L Zhang, et al..2015 IEEE International Conference on Data Mining (ICDM):下载全文 Assessment of spatial distribution of soil loss over the upper basin of Miyun reservoir in China based on RS and GIS techniquesT. Chen\*, R. Niu, Y. Wang, P. Li, L. Zhang, B. Du.Environmental Monitoring and Assessment:2011,vol. 179,pp. 605-617下载全文 Hyperspectral biological images compression based on multiway tensor projectionB. Du, M. Zhang, L. Zhang, X. Li.in 2014 IEEE International Conference on Multimedia and Expo, ICME 2014:下载全文 A Spectral Dissimilarity Constrained Nonnegative Matrix factorization based Cancer Screening Algorithm from Hyperspectral Fluorescence ImagesB. Du, N. Wang, and D. Tao.in 2012 International Conference on Computerized Healthcare (ICCH 2012):下载全文 Hyperspectral medical images unmixing for cancer screening based on rotational independent component analysisB. Du, N. Wang, and D. Tao.in International Conference on Intelligence Science and Big Data Engineering (IScIDE 2013):下载全文 A Manifold Learning based Feature Extraction Method for Hyperspectral ClassificationB. Du, L. Zhang, and L. Zhang.in Second International Conference on Information Science and Technology, vol. ISSU:2012下载全文 A structured sub-pixel target detection method base on manifold learning methodB. Du, D. Zhang, P. Li, T. Chen, and K. Wu.Proc. SPIE 8002, MIPPR 2011: Multispectral Image Acquisition, Processing, and Analysis:下载全文 An Unstructured Sub-pixel Target Detector for Hyperspectral ImageryB. Du, K. Wu, L. Zhang, and T. Chen.in 2010 International Conference on Computer Application and System Modeling:下载全文 Robust Metric based Anomaly Detection in Kernel Feature SpaceB. Du, and L. Zhang.in XXII Congress of the International Society for Photogrammetry and Remote Sensing (ISPRS 2012):下载全文 An novel active learning strategy for hyperspectral image classificationQ. Shi, B. Du and L. Zhang.in 4th IEEE GRSS Workshop on Hyperspectral Image and Signal Processing: evolution in remote sensing (WHISPERS 2012):下载全文 Targeted Change Detection For Stacked Multi-Temporal Hyperspectral ImageC. Wu, L. Zhang and B. Du.in 4th IEEE GRSS Workshop on Hyperspectral Image and Signal Processing: evolution in remote sensing (WHISPERS 2012):下载全文 An Endmember Dissimilarity Based Non-negative Matrix Factorization Method for Hyperspectral UnmixingN. Wang, L. Zhang and B. Du.in 4th IEEE GRSS Workshop on Hyperspectral Image and Signal Processing: evolution in remote sensing (WHISPERS 2012):下载全文 An endmember extraction framework based on abundance constraintM. Xu, L. Zhang and B. Du.in 4th IEEE GRSS Workshop on Hyperspectral Image and Signal Processing: evolution in remote sensing (WHISPERS 2012):下载全文
还没有评论，来说两句吧...