Sparse representationSparse Representation-based Classification (SRC), which has achieved good performance in face recognition and other image classification, has been successfully extended to time series classification in recent years. As a generalization of the nearest subspace classifier, the performance ...
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...
Sparse representation-based classification (SRC) has become a popular methodology in face recognition in recent years. One widely used manner is to enforce minimum \\( l_{ 1} \\) -norm on coding coefficient vector, which requires high computational cost. On the other hand, supervised sparse ...
Sparse-representation-based classification (SRC), which classifies data based on the sparse reconstruction error, has been a new technique in pattern recognition. However, the computation cost for sparse coding is heavy in real applications. In this paper, various dimension reduction methods are studie...
Sparse representation based classification (SRC) has been shown to be an effective method for face recognition. Furthermore, the input features of more and more classifiers are extracted by dimensional reduction methods. However, we find that the reconstruction ability of a basis for a testing ...
A NOVEL SUPERVISED STRUCTURE DICTIONARY LEARNING FOR CLASSIFICATION BASED ON SPARSE REPRESENTATION Sparse representation based classification has led to interesting image recognition results, while the dictionary used for sparse coding plays a key role i... X Tang,PS Wang,G Feng - 《International Journa...
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...
Sparse Representation Based Face Recognition Algorithm基于稀疏表示的人脸识别方法 We analyzed the mathematic essence of sparse representation, sparse regularized signal decomposition. Studied a sparse representation algorithm of orthogon... YANG Ronggen,REN Mingwu,YANG Jingyu,... - 《计算机科学》 被引量...
Review of Sparse Representation-Based Classification Methods on EEG Signal Processing for Epilepsy Detection, Brain-Computer Interface and Cognitive Impair... Review of Sparse Representation-Based Classification Methods on EEG Signal Processing for Epilepsy Detection, Brain-Computer Interface and Cognitive ...
In this paper, we present a facial expression recognition method based on Gabor feature and sparse representation. Sparse Representation based Classification (SRC) has been widely used in computer vision and pattern ...