Index for du_b

Du, B.[Bo] Co Author Listing * Abundance Characteristic-Based Independent Component Analysis for Hyperspectral Unmixing, An
* Automatic Radiometric Normalization for Multitemporal Remote Sensing Imagery With Iterative Slow Feature Analysis
* BASO: A Background-Anomaly Component Projection and Separation Optimized Filter for Anomaly Detection in Hyperspectral Images
* Beyond Background Feature Extraction: An Anomaly Detection Algorithm Inspired by Slowly Varying Signal Analysis
* Beyond the Sparsity-Based Target Detector: A Hybrid Sparsity and Statistics-Based Detector for Hyperspectral Images
* Combining local and global: Rich and robust feature pooling for visual recognition
* Dimensionality Reduction and Classification of Hyperspectral Images Using Ensemble Discriminative Local Metric Learning
* Discriminative Metric Learning Based Anomaly Detection Method, A
* Domain Adaptation for Remote Sensing Image Classification: A Low-Rank Reconstruction and Instance Weighting Label Propagation Inspired Algorithm
* Endmember Extraction From Highly Mixed Data Using Linear Mixture Model Constrained Particle Swarm Optimization
* Ensemble manifold regularized sparse low-rank approximation for multiview feature embedding
* Feature Learning Using Spatial-Spectral Hypergraph Discriminant Analysis for Hyperspectral Image
* Hypergraph Matching Framework for Refining Multi-source Feature Correspondences, A
* Hyperspectral anomalous change detection based on joint sparse representation
* Hyperspectral Anomaly Detection via a Sparsity Score Estimation Framework
* Hyperspectral image classification via a random patches network
* Hyperspectral Imagery Classification via Stochastic HHSVMs
* Hyperspectral Remote Sensing Image Subpixel Target Detection Based on Supervised Metric Learning
* Hyperspectral Target Detection via Adaptive Information-Theoretic Metric Learning with Local Constraints
* Hyperspectral Target Detection via Adaptive Joint Sparse Representation and Multi-Task Learning with Locality Information
* Hyperspectral Unmixing via Double Abundance Characteristics Constraints Based NMF
* Improved Quantum-Behaved Particle Swarm Optimization for Endmember Extraction, An
* Joint Sparse Representation and Multitask Learning for Hyperspectral Target Detection
* Kernel Slow Feature Analysis for Scene Change Detection
* Low-Rank and Sparse Matrix Decomposition-Based Mahalanobis Distance Method for Hyperspectral Anomaly Detection, A
* Maximum margin metric learning based target detection for hyperspectral images
* Multi-label Active Learning Based on Maximum Correntropy Criterion: Towards Robust and Discriminative Labeling
* Multi-Task Learning for Blind Source Separation
* Multidomain Subspace Classification for Hyperspectral Images
* Multiobjective Optimized Endmember Extraction for Hyperspectral Image
* Multiview clustering based on Robust and Regularized Matrix Approximation
* Mutation Operator Accelerated Quantum-Behaved Particle Swarm Optimization Algorithm for Hyperspectral Endmember Extraction, A
* New Approach for Error Resilience in Video Transmission Using ECC, A
* novel pupil localization method based on GaborEye model and radial symmetry operator, A
* Novel Semisupervised Active-Learning Algorithm for Hyperspectral Image Classification, A
* On combining active and transfer learning for medical data classification
* On Combining Social Media and Spatial Technology for POI Cognition and Image Localization
* On Gleaning Knowledge From Cross Domains by Sparse Subspace Correlation Analysis for Hyperspectral Image Classification
* Parallel Architecture of Convolutional Bi-Directional LSTM Neural Networks for Network-Wide Metro Ridership Prediction
* PLTD: Patch-Based Low-Rank Tensor Decomposition for Hyperspectral Images
* Poisson nonnegative matrix factorization method with parameter subspace clustering constraint for endmember extraction in hyperspectral imagery, A
* posterior evaluation algorithm of steganalysis accuracy inspired by residual co-occurrence probability, A
* Probabilistic Graph Embedding for Unsupervised Domain Adaptation
* Quantifying Sub-Pixel Surface Water Coverage in Urban Environments Using Low-Albedo Fraction from Landsat Imagery
* Random-Selection-Based Anomaly Detector for Hyperspectral Imagery
* Randomized Subspace Learning Based Anomaly Detector for Hyperspectral Imagery, A
* Robust and Discriminative Labeling for Multi-Label Active Learning Based on Maximum Correntropy Criterion
* robust background regression based score estimation algorithm for hyperspectral anomaly detection, A
* Robust Metric based Anomaly Detection in Kernel Feature Space
* Saliency-Guided Unsupervised Feature Learning for Scene Classification
* Scene Classification via a Gradient Boosting Random Convolutional Network Framework
* Segment-Based Storage and Transcoding Trade-off Strategy for Multi-version VoD Systems in the Cloud, A
* Semisupervised Discriminative Locally Enhanced Alignment for Hyperspectral Image Classification
* Simultaneous Spectral-Spatial Feature Selection and Extraction for Hyperspectral Images
* Slow Feature Analysis for Change Detection in Multispectral Imagery
* Sparse and Low-Rank Near-Isometric Linear Embedding Method for Feature Extraction in Hyperspectral Imagery Classification, A
* Sparse Representation-Based Binary Hypothesis Model for Target Detection in Hyperspectral Images, A
* Spectral-Spatial Unified Networks for Hyperspectral Image Classification
* Stacked Convolutional Denoising Auto-Encoders for Feature Representation
* Stochastic Decorrelation Constraint Regularized Auto-Encoder for Visual Recognition
* Target detection based on a dynamic subspace
* Three-Step Approach for TLS Point Cloud Classification, A
* Unsupervised-Restricted Deconvolutional Neural Network for Very High Resolution Remote-Sensing Image Classification
* Weakly Supervised Learning Based on Coupled Convolutional Neural Networks for Aircraft Detection
Includes: Du, B.[Bo] Du, B. Du, B.[Bin] Du, B.[Bing]
64 for Du, B.

Du, B.Z.[Bao Zhen] Co Author Listing * Fast inter-frame prediction in multi-view video coding based on perceptual distortion threshold model
* Novel visibility threshold model for asymmetrically distorted stereoscopic images
Includes: Du, B.Z.[Bao Zhen] Du, B.Z.[Bao-Zhen]

Index for "d"

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