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Collaborative Representation Classification Ensemble for Face Recognition [article]

Xiaochao Qu, Suah Kim, Run Cui, Hyoung Joong Kim
2015 arXiv   pre-print
Collaborative Representation Classification (CRC) for face recognition attracts a lot attention recently due to its good recognition performance and fast speed.  ...  The proposed ensemble algorithm calculates an ensemble weight for each CRC model that guided by the underlying classification rule of CRC.  ...  EXPERIMENT We compare the proposed ensemble-CRC with CRC [16] , AW-CRC (Adaptive and Weighted Collaborative Representation Classification) [24] , SRC [15] , WSRC (Weighted Sparse Representation Classification  ... 
arXiv:1507.08064v1 fatcat:w4kejuykynayxkx3zrgquayzsu

Face Recognition Algorithm Based on Correlation Coefficient and Ensemble-augmented Sparsity

Ying Xu, Jinyong Cheng
2020 IEEE Access  
Finally, the maximum correlation quotient and the minimization recovery residual are weighted, and the decision classification is carried out in the decision function to achieve the final face recognition  ...  The main contribution of this model is that it is more robust than a single sparse or collaborative representation model and can improve recognition accuracy.  ...  of training samples for collaborative representation.  ... 
doi:10.1109/access.2020.3028905 fatcat:br4rompfajhk5npb5r7di6tsoq

Multi-scale Patch Based Collaborative Representation for Face Recognition with Margin Distribution Optimization [chapter]

Pengfei Zhu, Lei Zhang, Qinghua Hu, Simon C. K. Shiu
2012 Lecture Notes in Computer Science  
By representing the query sample as a linear combination of training samples from all classes, the so-called collaborative representation based classification (CRC) shows very effective face recognition  ...  Considering the fact that patches on different scales can have complementary information for classification, we propose a multiscale patch based CRC method, while the ensemble of multi-scale outputs is  ...  Patch based CRC In [9] , Zhang et al. proposed to use the regularized least square model for collaborative representation based classification (CRC) of face images.  ... 
doi:10.1007/978-3-642-33718-5_59 fatcat:d3rcbrxwsjegbcvv6gswjjgofu

Content-based Image Classification via Visual Learning [chapter]

Hiroki Nomiya, Kuniaki Uehar
2009 Data Mining and Knowledge Discovery in Real Life Applications  
Recognition accuracy by collaborative ensemble learning and weighted voting.  ...  A weighting algorithm to detect hard examples To describe the collaborative ensemble learning model, we first formulate an object recognition task as a classification problem.  ... 
doi:10.5772/6446 fatcat:bifqf7kcyneuzkdbvwwckrymmu

A real-time multi-user face unlock system via fast sparse coding approximation

I-Kuei Chen, Yi-Min Tsai, Jyh-Jing Hwang, Liang-Gee Chen
2012 2012 IEEE Second International Conference on Consumer Electronics - Berlin (ICCE-Berlin)  
The system is capable of online new user registration without specific training, and it is designed for continuously processing video sequences as on-the-fly face classification.  ...  The system is tested with a public face dataset for real-world applications, which is able to recognize 100 different face identities in 0.0028s on a regular PC, with 93.8% recognition rate.  ...  Sparse representation classification (SRC) [2] achieves state-of-art performance in face recognition database with only solving the l1 minimization problem. Zhang et al.  ... 
doi:10.1109/icce-berlin.2012.6336497 dblp:conf/icce-berlin/ChenTHC12 fatcat:w666qvnulbdfhfk5tn3qgi5hne

PProCRC: Probabilistic Collaboration of Image Patches [article]

Tapabrata Chakraborti, Brendan McCane, Steven Mills, Umapada Pal
2020 arXiv   pre-print
We present a conditional probabilistic framework for collaborative representation of image patches.  ...  The proposed method (PProCRC) outperforms earlier CRC formulations: patch based (PCRC, GP-CRC) as well as the state-of-the-art probabilistic (ProCRC and EProCRC) on three fine-grained species recognition  ...  Collaborative Representation Classification (CRC) The mathematical framework for Collaborative Representation Classification (CRC) [9] is described in brief here.  ... 
arXiv:1903.09123v3 fatcat:ezhatjc54vedzh56ize2bw5rfi

Generic Learning-Based Ensemble Framework for Small Sample Size Face Recognition in Multi-Camera Networks

Cuicui Zhang, Xuefeng Liang, Takashi Matsuyama
2014 Sensors  
More diverse base classifiers can be generated from the expanded face space, and more appropriate base classifiers are selected for ensemble.  ...  Individual recognition often uses faces as a trial and requires a large number of samples during the training phrase.  ...  Acknowledgments This work is supported by: the Japan Society for the Promotion of Science, Scientific Research KAKENHIfor the Grant-in-Aid for Young Scientists (ID: 25730113).  ... 
doi:10.3390/s141223509 pmid:25494350 pmcid:PMC4299075 fatcat:ai2n344vrnh7pftgiejab4hpsm

Artificial Neural Network Based Ensemble Approach for Multicultural Facial Expressions Analysis

Ghulam Ali, Amjad Ali, Farman Ali, Umar Draz, Fiaz Majeed, Sana Yasin, Tariq Ali, Numan Haider
2020 IEEE Access  
We propose an artificial neural network-based ensemble classifier for multicultural facial expression analysis.  ...  Local binary pattern, uniform local binary pattern, and principal component analysis are applied for facial feature representation.  ...  [7] introduced a neural network based boosted ensemble approach for facial expression recognition.  ... 
doi:10.1109/access.2020.3009908 fatcat:gzinuqe75re2bdsswe276jn2cu

Robust Face Recognition via Multi-Scale Patch-Based Matrix Regression

Guangwei Gao, Jian Yang, Xiaoyuan Jing, Pu Huang, Juliang Hua, Dong Yue, Zhaohong Deng
2016 PLoS ONE  
By making use of the low-rank structural information of the reconstructed error image, the socalled nuclear norm-based matrix regression has been demonstrated to be effective for robust face recognition  ...  To fully utilize the complementary information from different patch scales for the final decision, we propose a multi-scale patchbased matrix regression scheme based on which the ensemble of multi-scale  ...  In their work, a collaborative representation-based classification (CRC) model was presented with a squared L 2 -regularization, which achieves competitive classification performance but with significantly  ... 
doi:10.1371/journal.pone.0159945 pmid:27525734 pmcid:PMC4985152 fatcat:mz63uqmmubb7hp3nv74o75zvra

Palmprint Identification Using an Ensemble of Sparse Representations

Imad Rida, Somaya Al-Maadeed, Arif Mahmood, Ahmed Bouridane, Sambit Bakshi
2018 IEEE Access  
Among various palmprint identification methods proposed in the literature, sparse representation for classification (SRC) is very attractive offering high accuracy.  ...  INDEX TERMS Biometrics, palmprint, sparse representation, ensemble learning.  ...  discriminative sparse representations for classification.  ... 
doi:10.1109/access.2017.2787666 fatcat:izjvigeoxzgcfiy32u7j2g3l5m


2019 2019 4th International Conference on Pattern Recognition and Image Analysis (IPRIA)  
Recognition using 3D Convolutional Neural Networks Sparse Representation-based Multi-focus Image Fusion in a Hybrid of DWT and NSCT Active Transfer Learning for Persian Offline Signature Verification  ...  Biologically inspired tracking with frequency divisive normalization model Partially Covered Face Recognition in Presence of Headscarf for Surveillance Applications A New Approach Based on Dynamical Model  ... 
doi:10.1109/pria.2019.8785061 fatcat:e43b5ycj2jfybk4ozrvqzhsk4a

Hyperspectral Face Recognition with Patch-Based Low Rank Tensor Decomposition and PFFT Algorithm

Mengmeng Wu, Dongmei Wei, Liren Zhang, Yuefeng Zhao
2018 Symmetry  
Many studies have proven that both global and local facial features play an important role in face recognition.  ...  Hyperspectral imaging technology with sufficiently discriminative spectral and spatial information brings new opportunities for robust facial image recognition.  ...  In contrast, the collaborative representation based classification with regularized least square (CRC_RLS) proposed by Zhang et al. [54] is a simple and efficient face classification scheme.  ... 
doi:10.3390/sym10120714 fatcat:psqocvl76rbe5b67zqi7yfxvla

Image Set-Based Collaborative Representation for Face Recognition

2014 IEEE Transactions on Information Forensics and Security  
In this paper, we propose a novel image set based collaborative representation and classification method for ISFR.  ...  With the resolved representation coefficients, the distance between the query set and each gallery set can then be calculated for classification.  ...  Wang for sharing the source code of MMD and MDA, and the cropped faces of the Honda/UCSD dataset and YouTube Celebrities dataset. We also thank H.  ... 
doi:10.1109/tifs.2014.2324277 fatcat:vekh3cklkfeupnd4vvnobylary

Hyperparameter Optimization and Boosting for Classifying Facial Expressions: How good can a "Null" Model be? [article]

James Bergstra, David D. Cox
2013 arXiv   pre-print
One of the goals of the ICML workshop on representation and learning is to establish benchmark scores for a new data set of labeled facial expressions.  ...  This paper also introduces a new ensemble construction variant that combines hyperparameter optimization with the construction of ensembles.  ...  The data consist of 48x48 pixel grayscale images of faces, and labels for the expressions of those faces.  ... 
arXiv:1306.3476v1 fatcat:t43n3gncqzfcvmcsbicx422m5e

Robust Face Recognition using Voting by Bit-plane Images based on Sparse Representation

dongmei wei, Tianping Li
2015 Proceedings of the 8th International Conference on Mobile Multimedia Communications  
In this paper, an improvement face recognition approach using sparse representation and plurality voting based on the binary bit-plane images is proposed.  ...  Experiment results shown that this proposed approach is preferable both in recognition accuracy and in recognition speed. Keywords Bit-plane image; voting; sparse representation 1.  ...  Sparse representation classification has been paid more attention since Wright [5] regarded face recognition as a globally sparse representation problem and defined Randomfaces.  ... 
doi:10.4108/icst.mobimedia.2015.258985 dblp:journals/amsys/WeiL15 fatcat:duesmmxbbbgntlsuqlvrcmywx4
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