搜索资源列表
DSPSS10-Seminar-3
- Locally Adaptive Sparse Representation for Detection, Classification, and Recognition. Lectuures given by Prof Trac Tran from john Hopkins university
PCA-Faces-and-examples
- 稀疏主成分分析用于脸部检测和识别的基础知识介绍。初学者很专业的入门材料。-Sparse principal component analysis for face detection and identification of the basics of introduction. Introductory material for beginners very professional.
sparserepresentationPAPER
- Abnormal event detection AND sparse representation PAPERS-Abnormal event detection AND sparse representation PAPERS
paper1
- Sparse Reconstruction-based Detection of Spatial Dimension Holes in Cognitive Radio Networks
iccv13_saliency1
- 13年iccv显著性的最近文献，实现了显著性检测-Saliency Detection via Dense and Sparse Reconstruction
sparse-representation-pdf
- This project describes the problem of facial expression recognition in the field of computer vision. Firstly, the psychological background of the problem is presented. Then, the idea of facial expression recognition system (FERS) is outlined and the
group-anomaly-detection
- 基于光流直方图和稀疏表示的群体异常事件检测-Detecting abnormal events based group optical flow histogram and sparse representation
A-Fast-Convergence-Multiuser-Detection-Scheme-for
- good paper about sparse code multiple access (SCMA)
PolSAR-ship-detection
- 基于稀疏表示的极化SAR舰船目标检测，有益于学者学习-Polarization SAR ship target detection based on sparse representation, is conducive to academic study