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NOVEL HYPERSPECTRAL ANOMALY DETECTION METHODS BASED ON UNSUPERVISED NEAREST REGULARIZED SUBSPACE
Anomaly detection Hyperspectral imagery Unsupervised nearest regularized subspace Outlier Removal Local summation Dual-window sliding
2018/5/14
Anomaly detection has been of great interest in hyperspectral imagery analysis. Most conventional anomaly detectors merely take advantage of spectral and spatial information within neighboring pixels....
CLASSIFICATION OF PHOTOGRAMMETRIC POINT CLOUDS OF SCAFFOLDS FOR CONSTRUCTION SITE MONITORING USING SUBSPACE CLUSTERING AND PCA
Scaffolding components Photogrammetric point clouds Subspace clustering PCA Classification
2016/7/28
This paper presents an approach for the classification of photogrammetric point clouds of scaffolding components in a construction site, aiming at making a preparation for the automatic monitoring of ...
HYPERSPECTRAL IMAGE KERNEL SPARSE SUBSPACE CLUSTERING WITH SPATIAL MAX POOLING OPERATION
Hyperspectral image nonlinear processing spatial max pooling SSC kernel
2016/7/28
In this paper, we present a kernel sparse subspace clustering with spatial max pooling operation (KSSC-SMP) algorithm for hyperspectral remote sensing imagery. Firstly, the feature points are mapped f...
Signing a Linear Subspace: Signature Schemes for Network Coding
Network Coding Signature Schemes
2015/8/5
Network coding offers increased throughput and improved robustness to random faults in completely decentralized networks. In contrast to traditional routing schemes, however, network coding requires i...
Function-Private Subspace-Membership Encryption and Its Applications
Function privacy functional encryption
2015/8/5
Boneh, Raghunathan, and Segev (CRYPTO '13) have recently put forward the notion of function privacy and applied it to identity-based encryption, motivated by the need for providing predicate privacy i...
CLASSIFICATION OF POLARIMETRIC SAR IMAGE BASED ON THE SUBSPACE METHOD
Polarimetric SAR Classification subspace features
2014/4/24
Land cover classification is one of the most significant applications in remote sensing. Compared to optical sensing technologies,
synthetic aperture radar (SAR) can penetrate through clouds and hav...
CLUSTERING-BASED SUBSPACE SVM ENSEMBLE FOR RELEVANCE FEEDBACK LEARNING
image retrieval relevance feedback data clustering classifier sampling SVM classifier ensemble
2013/7/17
This paper presents a subspace SVM ensemble algorithm for adaptive relevance feedback (RF) learning. Our method deals with the case that user’s relevance feedback examples are usually insufficient and...
期刊信息
篇名
A bi-iteration instrumental variable noise-subspace tracking algorithm
语种
英文
撰写或编译
撰写
作者
Da-Zheng Feng,Zheng Bao,and Xian-Da Zhang
第一作者单位
西安电子科技大学
刊物名称
Signal Processing
页面
Vol. 81, pp. 2215-2...
Incremental Face-Specific Subspace for Online-Learning Face Recognition,
Face-Specific Subspace Online-Learning Face Recognition
2010/12/15
A practical face recognition system is expected to have the ability to learn online to adapt to different variations of the imaging conditions in order to achieve better recognition performance, espec...
Face Identification Based On Face-Specific Subspace
Face Identification Face-Specific Subspace
2010/12/14
Face Identification Based On Face-Specific Subspace.