位置：成果数据库 > 期刊 > 期刊详情页
Geometric Structure Guided Collaborative Compressed Sensing
  • ISSN号：0923-5965
  • 期刊名称：Signal Processing Image Communication
  • 时间：2015.11.7
  • 页码：16-25
  • 相关项目：Non-RIP约束的非凸压缩感知方法研究与应用
作者： Leping Lin|Fang Liu|Licheng Jiao|
同期刊论文项目
Non-RIP约束的非凸压缩感知方法研究与应用
期刊论文 63 会议论文 1
同项目期刊论文
Semi-supervised learning with nuclear norm regularization
An Adaptive Weight Vector Adjustment based Multiobjective Evolutionary Algorithm
Memetic immune algorithm for multiobjective optimization
A modified objective function method with feasible-guiding strategy to solve constrained multi-ovjec
结构化压缩感知研究进展
Geometric Nonnegative Matrix Factorization (GNMF) for Hyperspectral Unmixing
A Multiobjective Evolutionary Algorithm based on Decision Variable Analyses for Multi-objective Opti
Non-convex Compressed Sensing by Nature-inspired Optimization Algorithms
Pan-sharpening algorithm to remove thin cloud via mask dodging and nonsampled shift-invariant shearl
基于合作模型的协同免疫多目标优化算法
A compressed sensing approach for efficient ensemble learning
Immune optimization algorithm for solving joint call admission control problem in next-generation wi
An Evolutionary Multiobjective Approach to Sparse Reconstruction
MOEA/D with Uniform Decomposition Measurements for Many-Objective Problems
Data-Driven Compressive Sampling and Learning Sparse Coding for Hyperspectral Image Classification
Compressed sensing by collaborative reconstruction on overcomplete dictionary
Incomplete variables truncated conjugate gradient method for signal reconstruction in compressed sen
Semi-supervised classification via kernel low-rank representation graph
Compressive Hyperspectral Imaging via Sparse Tensor and Nonlinear Compressed Sensing
Robust compressive features based power quality events classification with Analog-Digital Mixing Net
Semi-Supervised Hyperspectral Image Classification Using Spatio-Spectral Laplacian Support Vector Ma
Saliency generation from complex scene via digraph and Bayesian inference
Hierarchical Representation Learning based spatio-temporal data redundancy reduction
Sparse Double-Geometric Nonlocal Mean image recovery via steerable kernel
Joint sparse regularization based Sparse Semi-Supervised Extreme Learning Machine (S3ELM) for classi
MOEA/D with Baldwinian learning inspired by the regularity property of continuous multiobjective pro
Local Maximal Homogeneous Region Search for SAR Speckle Reduction With Sketch-Based Geometrical Kern
MOEA/D with opposition-based learning for multiobjective optimization problem
利用纹理信息的图像分块自适应压缩感知
基于稀疏编码和集成学习的多示例多标记图像分类方法
利用边缘信息的多尺度分块压缩感知自适应采样方法
基于深度支撑值学习网络的遥感图像融合
基于子空间类标传播和正则判别分析的单标记图像人脸识别
基于KummerU和MRF的极化SAR分类算法研究