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Non-negative Sparse and Collaborative Representation for Pattern Classification [article]

Jun Xu, Zhou Xu, Wangpeng An, Haoqian Wang, David Zhang
2022 arXiv   pre-print
In this paper, we propose a novel Non-negative Sparse and Collaborative Representation (NSCR) for pattern classification.  ...  We observe that the non-negativity can make the SR and CR more discriminative and effective for pattern classification.  ...  This work is partially supported by the Shenzhen Science and Technology Project under Grant GGFW2017040714161462 and JCYJ20170817161916238. Reference  ... 
arXiv:1908.07956v3 fatcat:lp42tgukara6fki67sngijcpje

Joint discriminative dimensionality reduction and dictionary learning for face recognition

Zhizhao Feng, Meng Yang, Lei Zhang, Yan Liu, David Zhang
2013 Pattern Recognition  
In this paper, we propose to learn jointly the projection matrix for dimensionality reduction and the discriminative dictionary for face representation.  ...  The joint learning makes the learned projection and dictionary better fit with each other so that a more effective face classification can be obtained.  ...  Very recently, a Fisher discrimination dictionary learning algorithm [3] was developed for sparse representation based pattern classification, and it shows very competitive performance with other dictionary  ... 
doi:10.1016/j.patcog.2013.01.016 fatcat:3cui3jgf6jecnoisz7qvfzqz6q

Joint sparsity and collaboration preserving projections for rotating electrical machinery fault diagnosis

Yue Ma, Xiaohua Wu
2020 IEEE Access  
To extract the most discriminative features for machine fault classification, a novel dimensionality reduction algorithm called joint sparsity and collaboration preserving projections (JSCPP) is proposed  ...  A joint combination of sparse representation (SR) and collaborative representation (CR) is used to construct the intrinsic and penalty graphs.  ...  CONCLUSION In this paper, a novel dimensionality reduction method named joint sparsity and collaboration preserving projections (JSCPP) has been put forward for rotating electrical machinery defect classification  ... 
doi:10.1109/access.2020.3029194 fatcat:imdfmky3njaufkzeoatwuci67m

Multiple Characteristics Similarity Metric Method for Hyperspectral Image Classification

Jiamin Liu, Limei Zhang, Hong Huang, Chao Zheng, Song Yang
2020 IEEE Access  
Then, it utilizes sparse representation and collaborative representation to represent the sparse and collaborative properties of HSI.  ...  information of HSI to form the complementarity of different characteristics and enhance the discriminant performance for HSI classification.  ...  Some classic classification methods have been designed on the basis of sparse representation, for example joint sparse representation classifier (JSRC) [27] , [28] , which takes spatial information into  ... 
doi:10.1109/access.2020.2964051 fatcat:mcalgxdb3bcphkqwronssuqzvy

Two-Stage Multi-Task Representation Learning for Synthetic Aperture Radar (SAR) Target Images Classification

Xinzheng Zhang, Yijian Wang, Zhiying Tan, Dong Li, Shujun Liu, Tao Wang, Yongming Li
2017 Sensors  
Song et al. reported an approach of supervised discriminant dictionary learning and sparse representation for SAR target recognition [20].  ...  In recent years, the combination of multi-task learning and representation learning has become an important trend in pattern recognition.  ...  Both multi-task sparse representation and multi-task collaborative representation utilize all training samples for classification.  ... 
doi:10.3390/s17112506 pmid:29104279 pmcid:PMC5712820 fatcat:kpcwgvcwqneszovmdh4xfr4evu

Action Recognition Based on Depth Motion Map and Hybrid Classifier

Wenhui Li, Qiuling Wang, Ying Wang
2018 Mathematical Problems in Engineering  
A hybrid classifier combined with Extreme Learning Machine (ELM) and collaborative representation classification (CRC) is employed to reduce the computational complexity while reducing the impact of noise  ...  First, depth images are projected continuously onto three planes of Cartesian coordinate system, and differential images of the respective projection surfaces are accumulated to obtain the complete 3D  ...  Acknowledgments The authors wish to acknowledge the support of National Science Foundation of China under Grant U1564211 and Jilin Planned Projects for Science Technology Development under Grant 20170204020GX  ... 
doi:10.1155/2018/8780105 fatcat:cw5mfiho3vha5ivr2lix3kruga

Kernel Task-Driven Dictionary Learning for Hyperspectral Image Classification [article]

Soheil Bahrampour and Nasser M. Nasrabadi and Asok Ray and Kenneth W. Jenkins
2015 arXiv   pre-print
In the proposed formulation, the dictionary and classifier are obtained jointly for optimal classification performance.  ...  Moreover, the proposed algorithm uses a joint (ℓ_12) sparsity prior to enforce collaboration among the neighboring pixels.  ...  The proposed formulation enjoys a joint sparsity prior which enforces collaboration among the neighboring pixels for robust sparse representation.  ... 
arXiv:1502.03126v1 fatcat:cffqj3vv6zebjftszspyikia3i

Joint regularized nearest points for image set based face recognition

Meng Yang, Weiyang Liu, Linlin Shen
2015 2015 11th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition (FG)  
An efficient algorithm was proposed to solve this problem, and the classification is then based on the joint distance between the regularized nearest points in image sets.  ...  In order to solve these issues and fully exploit the advantages of nearest point based approaches, in this paper a novel joint regularized nearest points (JRNP) is proposed for face recognition based on  ...  CRNP inherits some merits of collaborative representation based classification [7] , e.g., the across-class collaboration in representation and competing of different classes in classification.  ... 
doi:10.1109/fg.2015.7163108 dblp:conf/fgr/YangLS15 fatcat:pob4kbbvznddxjgwd2dic6bhie

Face Recognition Using Plurality Voting and Collaborative Representation based on the Bit-plane Information

Dongmei Wei, Weidong Zhou
2015 International Journal of Signal Processing, Image Processing and Pattern Recognition  
Motivated by low-rank matrix recovery and completion, Ma [12] integrated rank minimization into sparse representation for dictionary learning and proposed discriminative low-rank dictionary learning for  ...  Next , employing collaboration representation and the corresponding five bit-plane images which have more discrimination information,five identities about the same test image can be obtained.  ...  discrimination information than the original gray image, and to explore the application of plurality voting in face recognition jointing the bit-pane images and the collaboration representation classification  ... 
doi:10.14257/ijsip.2015.8.4.15 fatcat:77ta7eyeqrccpjxmwdjqqeqci4

Multi-View Classification via a Fast and Effective Multi-View Nearest-Subspace Classifier

Ting Shu, Bob Zhang, Yuan Yan Tang
2019 IEEE Access  
MV-NSC consists of four main parts: 1) projection residual, 2) view-dependent class separability, 3) view similarity, and 4) final decision.  ...  According to the experimental results, it shows that our proposed method is effective, efficient, and robust in multi-view classification.  ...  (Relaxed Collaborative Representation (RCR) [38] and Joint Discriminant and Collaborative Representation (JDCR) [40] ) are compared.  ... 
doi:10.1109/access.2019.2910322 fatcat:l4pyyaa22rdrzj4medwnlye3xi

Survey on Deep Multi-modal Data Analytics: Collaboration, Rivalry and Fusion [article]

Yang Wang
2020 arXiv   pre-print
Throughout this survey, we further indicate that the critical components for this field go to collaboration, adversarial competition and fusion over multi-modal spaces.  ...  With the development of web technology, multi-modal or multi-view data has surged as a major stream for big data, where each modal/view encodes individual property of data objects.  ...  [172] proposed a crossmodal projection matching (CMPM) loss and cross-modal projection classification (CMPC) loss, to optimize data distribution and improve image-text matching results.  ... 
arXiv:2006.08159v1 fatcat:g4467zmutndglmy35n3eyfwxku

Sample group and misplaced atom dictionary learning for face recognition

Meng WANG, Zhengping HU, Zhe SUN, Mei ZHU, Mei SUN
2017 Turkish Journal of Electrical Engineering and Computer Sciences  
Latest research results have demonstrated the effectiveness of both sparse (or collaborative) representation and dictionary learning for problem solving in face recognition and other signal classification  ...  Meanwhile, joint kernel collaborative representation with an ℓ2 -regularization-based classifier was used to capture more nonlinear structure and minimize the time cost.  ...  In this paper, a sample group and misplaced atom dictionary for a joint kernel collaborative representation (SGMA JKCR)-based classification model is presented.  ... 
doi:10.3906/elk-1702-49 fatcat:hohdilbtmjfmfkbsafn3kpxduu

Discriminatively guided filtering (DGF) for hyperspectral image classification

Ziyu Wang, Huafeng Hu, Lefei Zhang, Jing-Hao Xue
2018 Neurocomputing  
], sparse representation [8, 9, 10], collaborative representation [11], active 6 learning [12, 13, 14], multitask learning [15], domain adaptation [16], object-7 based classifiers [17] and deep learning  ...  For a C-class HSI classification problem, the LDA-based 48 DGF can be implemented as follows: we first perform multi-class LDA to obtain 49 C − 1 directions of projection, then we project the HSI onto  ...  Zhang, Joint collaborative rep-302 resentation with multitask learning for hyperspectral image classification, ] Q. Shi, B. Du, L.  ... 
doi:10.1016/j.neucom.2017.10.046 fatcat:equrpr2cg5azti2p62yljq3mu4

Sparse Code Filtering for Action Pattern Mining [chapter]

Wei Wang, Yan Yan, Liqiang Nie, Luming Zhang, Stefan Winkler, Nicu Sebe
2017 Lecture Notes in Computer Science  
Then we integrate the classifiers and the class-wise sparse coding process into a collaborative filtering (CF) framework to mine the discriminative sparse codes and classifiers jointly.  ...  In this paper, we tackle the multi-view action recognition problem by proposing a sparse code filtering (SCF) framework which can mine the action patterns.  ...  By minimizing the loss function, Eq. 4, a view-invariant and class-discriminative dictionary D, and an action classification parameter matrix Θ are learned jointly.  ... 
doi:10.1007/978-3-319-54184-6_1 fatcat:p5jfcrxlhzfjdpthg3csew6jry

Hyperspectral face recognition with a spatial information fusion for local dynamic texture patterns and collaborative representation classifier

Min Hao, Guangyuan Liu, Desheng Xie
2021 IET Image Processing  
Hyperspectral face recognition with a spatial information fusion for local dynamic texture patterns and collaborative representation classifier. IET Image  ...  This paper proposes a novel hyperspectral face recognition algorithm that is based on spatial information fusion for feature extraction (histogram of local dynamic texture patterns) and collaborative representation  ...  [26] proposed the joint bilateral filter and spectral similarity-based joint SRC to construct a novel classification framework for HSI.  ... 
doi:10.1049/ipr2.12131 fatcat:6qfyiabhobcpvknnltbiintou4
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