mhaghighat / ccaFuseLinks
Feature fusion using Canonical Correlation Analysis (CCA)
☆50Updated 5 years ago
Alternatives and similar repositories for ccaFuse
Users that are interested in ccaFuse are comparing it to the libraries listed below
Sorting:
- Feature fusion using Discriminant Correlation Analysis (DCA)☆65Updated 5 years ago
- A MATLAB toolbox for classifier: Version 1.0.7☆88Updated 2 years ago
- DICTOL - A Dictionary Learning Toolbox in Matlab and Python☆193Updated 4 years ago
- The code for the paper "Multimodal Task-driven Dictionary Learning for Image Classification".☆30Updated 9 years ago
- (ICCV'17) When Unsupervised Domain Adaptation Meets Tensor Representations☆59Updated 8 years ago
- Low-Rank Representation Python implementation☆34Updated 5 years ago
- Deep Multiset Canonical Correlation Analysis - An extension of CCA to multiple datasets☆33Updated 5 years ago
- Multi Channel-Kernel Canonical Correlation Analysis for Cross-View Person Re-Identification☆27Updated 6 years ago
- Generalized Canonical Correlation Analysis☆51Updated 7 years ago
- Wrappers and implementations of several domain adaptation / transfer learning / semi-supervised learning algorithms☆172Updated 9 years ago
- Group sparse Canonical Correlation Analysis (group sparse CCA) is a method designed to study the mutual relationship between two differen…☆13Updated 6 years ago
- An implementation of Deep Generalized Canonical Correlation Analysis (DGCCA or Deep GCCA) with pytorch.☆51Updated 5 years ago
- Feature selection: Minimal Redundancy and Maximal Relevance (mRMR)☆24Updated 10 years ago
- Yet ANother pattern recognition matlab toolbox☆36Updated 9 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☆42Updated 9 years ago
- An implementation of Deep Canonical Correlation Analysis (DCCA or Deep CCA) with Keras.☆249Updated 7 years ago
- Python implementation of Sparse Subspace Clustering algorithm.☆79Updated 7 years ago
- A Python implementation of PCANet https://arxiv.org/abs/1404.3606☆149Updated 6 years ago
- Targeting EEG/LFP synchrony with neural nets☆16Updated 6 years ago
- This is the implementation of 'Sparse Representation based Open-set Recognition (T-PAMI)☆23Updated 8 years ago
- Feature reduction projections and classifier models are learned by training dataset and applied to classify testing dataset. A few approa…☆72Updated 4 years ago
- Matlab code for learning doubly sparse dictionary on synthetic data. Details can be found in the paper "A Provable Approach for Double-Sp…☆11Updated 7 years ago
- IJCNN 2015 Hierarchical extreme learning machine for unsupervised representation learning☆26Updated 6 years ago
- Deep domain adaptation networks (DDAN) library for Python with TensorFlow.☆74Updated 5 years ago
- Robust PCA implementation and examples (Matlab)☆206Updated 7 years ago
- Deep Canonical Correlation Analysis implemented with tensorflow☆14Updated 7 years ago
- Sparse Autoencoders using FashionMNIST dataset☆35Updated 7 years ago
- t-sne visualization of mnist images when feature is represented by raw pixels and cnn learned feature☆65Updated 7 years ago
- http://learnandshare645.blogspot.hk/2016/06/3d-cnn-in-keras-action-recognition.html☆70Updated 8 years ago
- A Matlab implementation of the capsule networks (or capsnet).☆48Updated 7 years ago