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
Kernel nonnegative representation-based classifier
Sign Up to like & getrecommendations! Published in 2022 at "Applied Intelligence"
DOI: 10.1007/s10489-021-02486-0
Abstract: Non-negativity is a critical and explainable property in linear representation-based methods leading to promising performances in the pattern classification field. Based on the non-negativity, a powerful linear representation-based classifier was proposed, namely non-negative representation-based classifier… read more here.
Keywords: representation; representation based; based classifier; linear representation ... See more keywords
Abel’s integral operator: sparse representation based on multiwavelets
Sign Up to like & getrecommendations! Published in 2021 at "Bit Numerical Mathematics"
DOI: 10.1007/s10543-020-00832-1
Abstract: In this work, Abel’s integral operator is represented based on Alpert’s multiwavelets as a sparse matrix and then a non-linear Abel’s integral equation of the second kind is solved by multiwavelets Galerkin method. Nonlinearity and… read more here.
Keywords: representation based; integral operator; abel integral; operator sparse ... See more keywords
Domain adaptive collaborative representation based classification
Sign Up to like & getrecommendations! Published in 2018 at "Multimedia Tools and Applications"
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
Hyperspectral face recognition with histogram of oriented gradient features and collaborative representation-based classifier
Sign Up to like & getrecommendations! Published in 2022 at "Multimedia Tools and Applications"
DOI: 10.1007/s11042-021-11691-5
Abstract: Hyperspectral face recognition plays an important role in remote sensing. However, it faces many challenges such as difficulty in data acquisition, low signal to noise ratio (SNR), and high dimensionality. In this paper, we develop… read more here.
Keywords: face; face recognition; hyperspectral face; representation based ... See more keywords
Multiple representation based sample diversity for face recognition
Sign Up to like & getrecommendations! Published in 2017 at "Optik"
DOI: 10.1016/j.ijleo.2017.03.040
Abstract: Abstract Proper representation plays a significant role in pattern recognition fields, effective representation of an image makes it easier to be distinguished from images of other classes and can improve the accuracy of classification. In… read more here.
Keywords: multiple representation; representation; recognition; representation based ... See more keywords
Spectral representation-based dimension reduction for simulating multivariate non-stationary ground motions
Sign Up to like & getrecommendations! Published in 2018 at "Soil Dynamics and Earthquake Engineering"
DOI: 10.1016/j.soildyn.2018.04.058
Abstract: Abstract A framework of spectral representation-based dimension reduction for simulating multivariate non-stationary stochastic ground motion processes is addressed in this paper. By means of introducing random functions serving as constraints correlating with the orthogonal random… read more here.
Keywords: ground; spectral representation; dimension reduction; based dimension ... See more keywords
Local and Nonlocal Context-Aware Elastic Net Representation-Based Classification for Hyperspectral Images
Sign Up to like & getrecommendations! Published in 2017 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2017.2666118
Abstract: By representing a query sample as a linear combination of all labeled samples and then classifying it by evaluating which class leads to the minimal representation error, the representation-based classification methods have been successfully used… read more here.
Keywords: labeled samples; classification; context; based classification ... See more keywords
Hyperspectral Image Classification Using Kernel Fused Representation via a Spatial-Spectral Composite Kernel With Ideal Regularization
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2019.2898913
Abstract: To adequately exploit spectral, spatial, and label information of the given hyperspectral data, a kernel fused representation-based classifier via a spatial-spectral composite kernel with ideal regularization (CKIR) method is proposed in this letter. Specifically, the… read more here.
Keywords: representation; representation based; via spatial; fused representation ... See more keywords
Deep Sparse Representation Based Image Restoration With Denoising Prior
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Circuits and Systems for Video Technology"
DOI: 10.1109/tcsvt.2022.3170689
Abstract: As a powerful statistical signal modeling technique, sparse representation has been widely used in various image restoration (IR) applications. The sparsity-based methods have achieved leading performance in the past few decades. However, in recent years… read more here.
Keywords: representation based; denoising prior; sparse representation; image restoration ... See more keywords
Collaborative Representation-Based Multiscale Superpixel Fusion for Hyperspectral Image Classification
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2019.2916329
Abstract: In virtue of the spatial structural characteristic of surface materials, the performance of the hyperspectral image classification can be boosted by incorporating texture information. Normally, the spatial structure can be extracted by predefined operators, including… read more here.
Keywords: representation based; hyperspectral image; collaborative representation; image classification ... See more keywords