Sparse representation-based classifier (SRC) and kernel sparse representation-based classifier (KSRC) are founded on combining pattern recognition and compressive sensing methods and provide acceptable results in many machine learning problems. Nevertheless, these classifiers suffer from some shortcomings. For...
《Kernel Sparse Representation》中文翻译 Kernel Sparse Representation-Based Classifier 1、问题：1、针对不同类别的样本相互融合的分布情况，或者不能用线性的方法将它们有效分开的一般分类问题，SRC失去了分类能力，如何选择一个有效的方法实现有效分类；2、KSR虽然是SRC的非线性扩展，但是它不能使用用于稀疏信号重构的...
The main contributions of this paper are: (1) A discriminant dictionary learning technique is proposed to overcome the limitation of the traditional Sparse Representation based classifier (SRC). (2) Context features are incorporated into SRC to refine the prostate boundary in an iterative scheme. (...
In this paper, a method of kernel optimization by maximizing a measure of class separability in the empirical feature space with sparse representation-based classifier (SRC) is proposed to solve the problem of automatically choosing kernel functions and their parameters in kernel learning. The ...
摘要 Sparse representation based classifier(SRC) has been proved to be an effective classifier.However,it is well known th... 关键词 sparse representation / k-nearest neighbor / neighborhood class / classification method / face recognition 被引...
Expression robust three-dimensional face recognition based on gaussian filter and dual-tree complex wavelet transform Dual-tree Complex Wavelet Transform3D face recognitionrejectionclassifiersparse representation based classificationHAUSDORFF DISTANCE3DIn this paper, a fully ... Wang,XQ,Raun,... - 《Journa...
Sparse discriminative feature selectiondoi:10.1016/j.patcog.2014.10.021Joint feature selectionSparse representation based classificationDiscriminative learningAs sparse representation-based classifier (SRC) is developed, it has drawn more and more attentions in dimension reduction. In this paper, we introduce...
3D Face Recognition based on Local Shape Patterns and Sparse Representation Classifier In recent years, 3D face recognition has been considered as a major solution to deal with these unsolved issues of reliable 2D face recognition, i.e. illum... H Di,K Ouji,M Ardabilian,... - International...
This paper aims to seek a projection matrix such that the low-dimensional representations well characterize the discriminant structure embedded in high-dimensional data and simultaneously well fit sparse representation-based classifier (SRC). To be specific, Fisher discriminant criterion (FDC) is used ...
In this paper, we propose discriminative projection based on locality-sensitive sparse representation (DPLSR) for in-air handwritten Chinese character recognition. DPLSR based on the locality-sensitive sparse representation based classifier (LSRC), which can provide closed-form solutions and maintain the ...