ArrowLuo / LLE_Algorithm
locally linear embedding algorithm code write by matlab
☆29Updated 7 years ago
Related projects: ⓘ
- This provides an MATLAB code implementation for the paper "Low-rank and Sparse Matrix Decomposition via the Truncated Nuclear Norm and a …☆26Updated 6 years ago
- ☆21Updated 7 years ago
- ☆23Updated this week
- Matlab Toolbox for Pattern Analysis and Computer Vision☆25Updated 7 years ago
- A MATLAB toolbox for classifier: Version 1.0.7☆84Updated last year
- Matlab code for learning doubly sparse dictionary on synthetic data. Details can be found in the paper "A Provable Approach for Double-Sp…☆11Updated 6 years ago
- This is an implementation of Truncated Nuclear Norm Regularization Method.☆24Updated 7 years ago
- The matlab code for the paper 'GoDec+: Fast and Robust Low-Rank Matrix Decomposition Based on Maximum Correntropy'☆13Updated 6 years ago
- Online Semi-supervised Learning + Online Heterogeneous Transfer Learning☆27Updated 9 years ago
- Clustering algorithms by fast search and find of density peaks☆18Updated 5 years ago
- Subspace Clustering Library☆50Updated 8 years ago
- The code for the paper "Multimodal Task-driven Dictionary Learning for Image Classification".☆29Updated 8 years ago
- features extraction；artificial features；hog；haar；lbp；sift；softnms☆31Updated 2 years ago
- Sparce Subspace Clustering (SSC) is a subspace clustering algorithm that uses sparse vector representation, convex optimization, and spec…☆40Updated 7 years ago
- polwork / Learning-and-Transferring-Deep-Joint-Spectral-Spatial-Features-for-Hyperspectral-Classificationcode for paper "Learning and Transferring Deep Joint Spectral-Spatial Features for Hyperspectral Classification"☆13Updated 5 years ago
- 目前多流形学习算法matlab代码☆13Updated 5 years ago
- Implementation for the paper "K-Multiple-Means: A Multiple-Means Clustering Method with Specified K Clusters,", which has been accepted b…☆82Updated 3 years ago
- ☆19Updated 5 years ago
- ☆36Updated 8 years ago
- Feature reduction projections and classifier models are learned by training dataset and applied to classify testing dataset. A few approa…☆69Updated 3 years ago
- X. Wang, Y. Zhong, L. Zhang, and Y. Xu, “Spatial Group Sparsity Regularized Nonnegative Matrix Factorization for Hyperspectral Unmixing,”…☆45Updated 5 years ago
- Iteratively Reweighted Nuclear Norm for Nonconvex Nonsmooth Low-rank Minimization☆25Updated 3 years ago
- Scalable Semi-Supervised Learning by Efficient Anchor Graph Regularization☆13Updated 6 years ago
- 流形学习算法ISOMAP与LLE的matlab代码☆22Updated 5 years ago
- ALOT dataset ,multi-class SVM,AdaBoost,K-SVD,LBP,HOG,Gabor☆24Updated 6 years ago
- 用 MATLAB 实现深度学习网络中的 stacked auto-encoder：使用AE variant（de-noising / sparse / contractive AE）进行预训练，用BP算法进行微调☆40Updated 8 years ago
- Regularized K-SVD Algorithm☆42Updated 7 years ago
- Implementing sparse autoencoder for MNIST data classification using keras and tensorflow☆23Updated 6 years ago
- Tensor Completion by Python and Numba☆22Updated 3 years ago
- Low-Rank Representation Python implementation☆34Updated 4 years ago