Sparse representation is being proved to be effective for many tasks in the field of pattern recognition. In this paper, an efficient classification algorithm based on concentrative sparse representation will be
Sparse representation based classification (SRC) has been proved to be a simple, effective and robust solution to face recognition. As it gets popular, doubts on the necessity of enforcing sparsity starts coming up, and primary experimental results showed that simply changing the $l_1$-norm ...
In Section 2, we review briefly some related works on sparse representation based classification as well as projection learning. Then we formulate the discriminative projection and dictionary learning model for SRC and present an effective learning algorithm in Section 3. Extensive experiments are ...
稀疏表示分类(Sparse Representation for Classification,简称SRC)是一项在模式识别和信号处理中应用广泛的技术。它基于这样一个概念:一个信号(比如图像、语音等)可以用一个较大的字典中的一些基向量稀疏地表示。 想象一下,有一个巨大的图书馆(字典),其中每一本书(字典中的基向量)代表了一个特定的模式或特征。如果...
第二篇:Sparse Representation Based Fisher Discrimination Dictionary Learning for Image Classification这篇文章是偶然情况下一个同学给我看的,看了之后就感觉灰常不错,对我们这种初出茅庐的菜鸟启发性很大。这篇文章其实是对上篇文章的一个改进,从题目我们就可以看出这篇文章把SRC和Fisher线性判别做了一个综合,文章...
Moreover, the proposed method seamlessly and elegantly integrates low-rank learning and sparse representation-based classification. Extensive experiments on three challenging face databases demonstrate the effectiveness and robustness of JLSRC in comparison with the state-of-the-art methods....
The sparse representation paradigm, when it was originally developed, was not intended for classification purposes; however sparse representation based classifiers are beginning to emerge for various applications [4-7]. Naseem et al. [8] were the first to introduce a classifier based on ...
We merge illumination normalization and component features into the framework of Sparse Representation-based Classification (SRC) for face recognition across illumination. Unlike most SRC-based face recognition which constructs a dictionary from a training set with sufficient illumination variation, the propos...
Sparse representation based classification (SRC) achieves good results by addressing recognition problem with sufficient training samples per subject. Tumo... X Yang,X Jiang,C Tian,... - Knowledge-Based Systems 被引量: 0发表: 2020年 Sparse and low-rank representation for multi-label classification...
Sparse representation-based classification (SRC) method has gained great success in face recognition due to its encouraging and impressive performance. However, in SRC the data used to train or test are usually corrupted, and hence the performance is affected. This paper proposes a robust face reco...