A new discriminative collaborative representation-based classification method via l2 regularizations
Sign Up to like & getrecommendations! Published in 2019 at "Neural Computing and Applications"
DOI: 10.1007/s00521-019-04460-x
Abstract: Collaborative representation-based classification (CRC) is one of the famous representation-based classification methods in pattern recognition. However, a testing sample in most of the CRC variants is collaboratively reconstructed by a linear combination of all the… read more here.
Keywords: classification; usepackage; based classification; representation based ... See more keywords
Supervised neighborhood regularized collaborative representation for face recognition
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DOI: 10.1007/s11042-017-4851-2
Abstract: How to represent a test sample is very crucial for linear representation based classification. The famous sparse representation focuses on employing linear combination of small samples to represent the query sample. However, the local structure… read more here.
Keywords: neighborhood regularized; supervised neighborhood; regularized collaborative; face ... See more keywords
Domain adaptive collaborative representation based classification
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DOI: 10.1007/s11042-018-7007-0
Abstract: Conventional representation based classification methods, such as sparse representation based classification (SRC) and collaborative representation based classification (CRC) have been developed and shown great potential due to its effectiveness in various recognition tasks. However, when… read more here.
Keywords: sparse representation; based classification; representation based; collaborative representation ... See more keywords
FPGA implementation of collaborative representation algorithm for real-time hyperspectral target detection
Sign Up to like & getrecommendations! Published in 2018 at "Journal of Real-Time Image Processing"
DOI: 10.1007/s11554-018-0823-7
Abstract: Hyperspectral image contains various wavelength channels and the corresponding imagery processing requires a computation platform with high performance. Target and anomaly detection on hyperspectral image has been concerned because of its practicality in many real-time… read more here.
Keywords: detection; real time; target detection; target ... See more keywords
FFT Consolidated Sparse and Collaborative Representation for Image Classification
Sign Up to like & getrecommendations! Published in 2018 at "Arabian Journal for Science and Engineering"
DOI: 10.1007/s13369-017-2696-7
Abstract: Spectrum analysis can quickly extract and analyze frequency domain features of signal, and it has been widely applied in fields of image processing, noise processing and signal processing. Fast Fourier transform (FFT) is fast and… read more here.
Keywords: image; method; image classification; collaborative representation ... See more keywords
Application of a homogenous patch mean kernel with within-class collaborative representation for hyperspectral imagery classification
Sign Up to like & getrecommendations! Published in 2017 at "Remote Sensing Letters"
DOI: 10.1080/2150704x.2016.1230279
Abstract: ABSTRACT Spectral–spatial-based classification methods demonstrate satisfying performance for hyperspectral imagery (HSI) classification. In this letter, in order to make full use of spectral and contexture information with simultaneously considering within-class information, we propose a new… read more here.
Keywords: classification; class; patch; within class ... See more keywords
Detection of hyperspectral anomalies using density estimation and collaborative representation
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DOI: 10.1080/2150704x.2017.1346396
Abstract: ABSTRACT The collaborative-representation-based detector (CRD) will misjudge the anomaly pixel under test as a background pixel if there are a few anomalies similar to the pixel under test in the original background. In order to… read more here.
Keywords: density estimation; density; background; original background ... See more keywords
Union of Class-Dependent Collaborative Representation Based on Maximum Margin Projection for Hyperspectral Imagery Classification
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2020.3038456
Abstract: This article proposed a novel spectral-spatial classification framework for hyperspectral image (HSI) through combining collaborative representation (CR) and maximum margin projection (MMP). First, class-dependent CR classifier (CDCRC) is used on HSI classification to fully make… read more here.
Keywords: maximum margin; margin projection; collaborative representation; class ... See more keywords
Diversity-Driven Multikernel Collaborative Representation Ensemble for Hyperspectral Image Classification
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2022.3162121
Abstract: Recently, kernel collaborative representation classification (KCRC) has shown its outstanding performance in dealing with the problem of linear inseparability in hyperspectral remote sensing image classification. Meanwhile, ensemble learning has attracted great attention in improving the… read more here.
Keywords: classification; diversity; collaborative representation; image classification ... See more keywords
Prior Knowledge-Based Probabilistic Collaborative Representation for Visual Recognition
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DOI: 10.1109/tcyb.2018.2880290
Abstract: Collaborative representation is an effective way to design classifiers for many practical applications. In this paper, we propose a novel classifier, called the prior knowledge-based probabilistic collaborative representation-based classifier (PKPCRC), for visual recognition. Compared with… read more here.
Keywords: representation; collaborative representation; prior knowledge; based probabilistic ... See more keywords
Kernel Collaborative Representation With Local Correlation Features for Hyperspectral Image Classification
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2018.2866190
Abstract: Spatial information has widely been used in hyperspectal image (HSI) classification to improve classification accuracy. However, the structural information may not be fully explored when using spatial information, this paper proposes the joint collaborative representation… read more here.
Keywords: correlation features; collaborative representation; image; local correlation ... See more keywords