毕业设计+课设-分类器的MATLAB工具箱

# ClassifierToolbox : A Matlab toolbox for classifier. ---------- Authors: [Hiroyuki Kasai](http://kasai.comm.waseda.ac.jp/kasai/) Last page update: Seo. 11, 2017 Latest library version: 1.0.7 (see Release notes for more info) Introduction ---------- This package provides various tools for classification, e.g., image classification, face recogntion, and related applicaitons. List of algorithms --------- - **Basis** - **PCA** (Principal component analysis) - M. Turk and A. Pentland, "[Eigenfaces for recognition](https://www.cs.ucsb.edu/~mturk/Papers/jcn.pdf)," J. Cognitive Neurosci," vol.3, no.1, pp.71-86, 1991. - See also [wikipedia](https://en.wikipedia.org/wiki/Principal_component_analysis). - **ICA** (Independent component analysis) - See [wikipedia](https://en.wikipedia.org/wiki/Independent_component_analysis). - **LDA** (Linear discriminant analysis) - P. N. Belhumeur, J. P. Hespanha, and D. I. Kriegman, "[Eigenfaces vs. Fisherfaces: recognition using class specific linear projection](http://ieeexplore.ieee.org/document/598228/)," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.19, no.7, pp.711-720, 1997. - See also [wikipedia](https://en.wikipedia.org/wiki/Linear_discriminant_analysis). - **SVM** (Support vector machine) - See [wikipedia](https://en.wikipedia.org/wiki/Support_vector_machine) - Use Matlab built-in library (svmfitcsvm and predict). - **LRC** variant - **LRC** (Linear regression classification) - I. Nassem, M. Bennamoun, "[Linear regression for face recognition](http://ieeexplore.ieee.org/document/5506092/)," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.32, no.11, 2010. - **LDRC** (Linear discriminant regression classificatoin) - S.-M. Huang and J.-F. Yang, "[Linear discriminant regression classification for face recognition](http://ieeexplore.ieee.org/document/6373697/)," IEEE Signal Processing Letters, vol.20, no.1, pp.91-94, 2013. - **LCDRC** (Linear collaborative discriminant regression classificatoin) - X. Qu, S. Kim, R. Cui and H. J. Kim, "[Linear collaborative discriminant regression classification for face recognition](http://www.sciencedirect.com/science/article/pii/S1047320315001297)," J. Visual Communication Image Represetation, vol.31, pp. 312-319, 2015. - **CRC** (Collaborative representation based classification) - L. Zhanga, M. Yanga, and X. Feng, "[Sparse representation or collaborative representation: which helps face recognition?](http://dl.acm.org/citation.cfm?id=2356341)," Proceedings of the 2011 International Conference on Computer Vision (ICCV'11), pp. 471-478, 2011. - **LSR** variant - **LSR** (Least squares regression) - **DERLR** (Discriminative elastic-net regularized linear regression) - Z. Zhang, Z. Lai, Y. Xu, L. Shao and G. S. Xie, "[Discriminative elastic-net regularized linear regression](http://ieeexplore.ieee.org/document/7814255/)," IEEE Transactions on Image Processing, vol.26, no.3, pp.1466-1481, 2017. - **Low-rank matrix factorization** based - **NMF** (Non-negative matrix factorization) - Please refer [NMFLibrary](https://github.com/hiroyuki-kasai/NMFLibrary). - **[Robust PCA](https://en.wikipedia.org/wiki/Robust_principal_component_analysis) classifier** - E. Candes, X. Li, Y. Ma, and J. Wright, "[Robust Principal Component Analysis?](http://perception.csl.illinois.edu/matrix-rank/Files/RPCA_JACM.pdf)," Journal of the ACM, vol.58, no.3, 2011. - Classifier uses SRC. - Use [SparseGDLibrary](https://github.com/hiroyuki-kasai/SparseGDLibrary). - **RCM** based - **RCM+kNN** (Region covariance matrix algorithm) - O. Tuzel, F. Porikli, and P. Meer "[Region covariance: a fast descriptor for detection and classification](https://link.springer.com/chapter/10.1007/11744047_45)," European Conference on Computer Vision (ECCV2006), pp.589-600, 2006. - **GRCM+kNN** (Gabor-wavelet-based region covariance matrix algorithm) - Y. Pang, Y. Yuan, and X. Li, "[Gabor-based Region covariance matrices for face recognition](http://ieeexplore.ieee.org/document/4498432/)," IEEE Transactions on Circuits and Systems for Video Technology vol.18, no.7, 2008. - **SRC** variant - **SRC** (Sparse representation based classifcation) - J. Wright, A. Yang, A. Ganesh, S. Sastry, and Y. Ma, "[Robust face recognition via sparse representation](http://ieeexplore.ieee.org/document/4483511/)," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.31, no.2, pp.210-227, 2009. - **ESRC** (Extended sparse representation based classifcation) - W. Deng, J. Hu, and J. Guo, "[Extended SRC: Undersampled face recognition via intraclass variant dictionary](http://ieeexplore.ieee.org/document/6133293/)," IEEE Transation on Pattern Analysis Machine Intelligence, vol.34, no.9, pp.1864-1870, 2012. - **SSRC** (Superposed sparse representation based classifcation) - W. Deng, J. Hu, and J. Guo, "[In defense of sparsity based face recognition](http://ieeexplore.ieee.org/document/6618902/)," IEEE Conference on Computer Vision and Pattern Recognition (CVPR2013), 2013. - **SRC-RLS** - M. Iliadis, L. Spinoulas, A. S. Berahas, H. Wang, and A. K. Katsaggelos, "[Sparse representation and least squares-based classification in face recognition](http://ieeexplore.ieee.org/document/6952144/)," Proceedings of the 22nd European Signal Processing Conference (EUSIPCO), 2014. - **SDR-SLR** (Sparse- and dense-hybrid representation and supervised low-rank) - X. Jiang, and J. Lai, "[Sparse and dense hybrid representation via dictionary decomposition for face recognition](http://ieeexplore.ieee.org/document/6905839/)," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.37, no.5, pp.1067-1079, 2015. - **Dictionary learning** based - **K-SVD** - M. Aharon, M. Elad, and A.M. Bruckstein, "[The K-SVD: An algorithm for designing of overcomplete dictionaries for sparse representation](http://ieeexplore.ieee.org/document/1710377/)", IEEE Transactions On Signal Processing, vol.54, no.11, pp.4311-4322, November 2006. - **LC-KSVD** (Label Consistent K-SVD) - Z. Jiang, Z. Lin, L. S. Davis, "[Learning a discriminative dictionary for sparse coding via label consistent K-SVD](http://ieeexplore.ieee.org/abstract/document/5995354/)," IEEE Conference on Computer Vision and Pattern Recognition (CVPR2011), 2011. - Z. Jiang, Z. Lin, L. S. Davis, "[Label consistent K-SVD: learning A discriminative dictionary for recognition](http://ieeexplore.ieee.org/document/6516503/)," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.35, no.11, pp.2651-2664, 2013. - **FDDL** (Fisher Discriminative Dictionary Learning) - M. Yang, L. Zhang, X. Feng, and D. Zhang, "[Fisher discrimination dictionary learning for sparse representation](http://ieeexplore.ieee.org/document/6126286/)," IEEE International Conference on Computer Vision (ICCV), 2011. - **JDDRDL** - Z. Feng, M. Yang, L. Zhang, Y. Liu, and D. Zhang, "[Joint discriminative dimensionality reduction and dictionary learning for face recognition](http://www.sciencedirect.com/science/article/pii/S0031320313000538)," Pattern Recognition, vol.46, pp.2134-2143, 2013. - **Geometry-aware** - **R-SRC and R-DL-SC** (Riemannian dictionary learning and sparse coding for positive definite matrices) - A. Cherian and S. Sra, "[Riemannian dictionary learning and sparse coding for positive definite matrices](http://ieeexplore.ieee.org/document/7565529/)," IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2016. - **R-KSRC (Stein kernel)** (a.k.a. RSR) (Riemannian kernelized sparse representation classification) - M. Harandi, R. Hartley, B. Lovell and C. Sanderson, "[Sparse coding on symmetric positive definite manifolds using