Sparse Representation-based Classification

6 papers with code • 1 benchmarks • 1 datasets

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Most implemented papers

Linear Disentangled Representation Learning for Facial Actions

eglxiang/icassp15_emotion 11 Jan 2017

Limited annotated data available for the recognition of facial expression and action units embarrasses the training of deep networks, which can learn disentangled invariant features.

Hierarchical Sparse and Collaborative Low-Rank Representation for Emotion Recognition

eglxiang/icassp15_emotion 7 Oct 2014

In this paper, we design a Collaborative-Hierarchical Sparse and Low-Rank (C-HiSLR) model that is natural for recognizing human emotion in visual data.

Sparse Representation-based Open Set Recognition

hezhangsprinter/SROSR 6 May 2017

We propose a generalized Sparse Representation- based Classification (SRC) algorithm for open set recognition where not all classes presented during testing are known during training.

Classifying Multi-channel UWB SAR Imagery via Tensor Sparsity Learning Techniques

tiepvupsu/tensorsparsity 4 Oct 2018

Using low-frequency (UHF to L-band) ultra-wideband (UWB) synthetic aperture radar (SAR) technology for detecting buried and obscured targets, e. g. bomb or mine, has been successfully demonstrated recently.

Deep Sparse Representation-based Classification

mahdiabavisani/DSRC 24 Apr 2019

The proposed network consists of a convolutional autoencoder along with a fully-connected layer.

Multiplication fusion of sparse and collaborative-competitive representation for image classification

li-zi-qi/SCCRC 20 Jan 2020

Firstly, the coefficients of the test sample are obtained by SRC and CCRC, respectively.