mhaghighat / ccaFuseLinks
Feature fusion using Canonical Correlation Analysis (CCA)
☆51Updated 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☆89Updated 3 years ago
- The code for the paper "Multimodal Task-driven Dictionary Learning for Image Classification".☆30Updated 10 years ago
- DICTOL - A Dictionary Learning Toolbox in Matlab and Python☆192Updated 4 years ago
- (ICCV'17) When Unsupervised Domain Adaptation Meets Tensor Representations☆60Updated 8 years ago
- Low-Rank Representation Python implementation☆34Updated 6 years ago
- Deep Multiset Canonical Correlation Analysis - An extension of CCA to multiple datasets☆33Updated 6 years ago
- Sparse Representation-based Classification, a classified algorithm in Pattern Recognition area☆18Updated 11 years ago
- Group sparse Canonical Correlation Analysis (group sparse CCA) is a method designed to study the mutual relationship between two differen…☆13Updated 7 years ago
- This is an unofficial PyTorch implementation for paper "A Riemannian Network for SPD Matrix Learning", AAAI 2017☆38Updated 7 years ago
- Wrappers and implementations of several domain adaptation / transfer learning / semi-supervised learning algorithms☆172Updated 9 years ago
- Multi Channel-Kernel Canonical Correlation Analysis for Cross-View Person Re-Identification☆27Updated 7 years ago
- Tensorflow implementation of "Deep sparse representation-based classification"☆45Updated 6 years ago
- Yet ANother pattern recognition matlab toolbox☆36Updated 9 years ago
- Classify various radiology images into respective categories.Being done using various shape and texture features for feature extraction a…☆10Updated 9 years ago
- Deep domain adaptation networks (DDAN) library for Python with TensorFlow.☆75Updated 6 years ago
- Generalized Canonical Correlation Analysis☆51Updated 8 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☆44Updated 9 years ago
- Scripts for the paper: 2DPCA with L1-norm for simultaneously robust and sparse modelling.☆17Updated 6 years ago
- A Matlab implementation of the capsule networks (or capsnet).☆48Updated 8 years ago
- A Python implementation of PCANet https://arxiv.org/abs/1404.3606☆150Updated 6 years ago
- This is the implementation of 'Sparse Representation based Open-set Recognition (T-PAMI)☆23Updated 9 years ago
- Robust PCA implementation and examples (Matlab)☆208Updated 7 years ago
- GitHub repository for "A Riemannian Network for SPD Matrix Learning", AAAI 2017.☆63Updated 4 years ago
- IJCNN 2015 Hierarchical extreme learning machine for unsupervised representation learning☆26Updated 6 years ago
- ☆18Updated 9 years ago
- A Unified Framework for Metric Transfer Learning☆17Updated 8 years ago
- Implementation of the SimpleMKL algorithm (multiple kernel SVM)☆20Updated 11 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
- Generalized Discriminant Analysis (GDA) - non-linear feature dimensionality reduction technique☆20Updated 9 years ago