Alternatives and similar repositories for ccaFuse

Users that are interested in ccaFuse are comparing it to the libraries listed below

• mhaghighat / dcaFuse
  Feature fusion using Discriminant Correlation Analysis (DCA)
  ☆65Updated 5 years ago
• hiroyuki-kasai / ClassifierToolbox
  A MATLAB toolbox for classifier: Version 1.0.7
  ☆89Updated 2 years ago
• tiepvupsu / DICTOL
  DICTOL - A Dictionary Learning Toolbox in Matlab and Python
  ☆192Updated 4 years ago
• soheilb / multimodal_dictionary_learning
  The code for the paper "Multimodal Task-driven Dictionary Learning for Image Classification".
  ☆30Updated 10 years ago
• poppinace / TAISL
  (ICCV'17) When Unsupervised Domain Adaptation Meets Tensor Representations
  ☆60Updated 8 years ago
• barbosaaob / lrr
  Low-Rank Representation Python implementation
  ☆34Updated 6 years ago
• viggin / domain-adaptation-toolbox
  Wrappers and implementations of several domain adaptation / transfer learning / semi-supervised learning algorithms
  ☆172Updated 9 years ago
• viggin / yan-prtools
  Yet ANother pattern recognition matlab toolbox
  ☆36Updated 9 years ago
• mahdiabavisani / DSRC
  Tensorflow implementation of "Deep sparse representation-based classification"
  ☆45Updated 6 years ago
• yechengxi / LightCapsNet
  A Matlab implementation of the capsule networks (or capsnet).
  ☆48Updated 8 years ago
• xyh2016 / MTLF
  A Unified Framework for Metric Transfer Learning
  ☆17Updated 8 years ago
• lamplampan / SRC
  Sparse Representation-based Classification, a classified algorithm in Pattern Recognition area
  ☆18Updated 11 years ago
• andrewssobral / TDALAB
  A MATLAB Toolbox for High-order Tensor Data Decompositions and Analysis
  ☆20Updated 7 years ago
• stephenbeckr / fastRPCA
  Matlab code for all variants of robust PCA and SPCP
  ☆126Updated 4 years ago
• animebing / mnist_tsne
  t-sne visualization of mnist images when feature is represented by raw pixels and cnn learned feature
  ☆65Updated 7 years ago
• usc-sail / mica-deep-mcca
  Deep Multiset Canonical Correlation Analysis - An extension of CCA to multiple datasets
  ☆33Updated 5 years ago
• abhinav4192 / sparse-subspace-clustering-python
  Python implementation of Sparse Subspace Clustering algorithm.
  ☆82Updated 7 years ago
• VahidooX / DeepCCA
  An implementation of Deep Canonical Correlation Analysis (DCCA or Deep CCA) with Keras.
  ☆249Updated 8 years ago
• honglaklee / convDBN
  ☆40Updated 9 years ago
• dlaptev / RobustPCA
  Robust PCA implementation and examples (Matlab)
  ☆209Updated 7 years ago
• xinwangliu / Multi-Kernel-Extreme-Learning-Machine
  ☆18Updated 9 years ago
• XiaoxiaSun / supervised-deep-sparse-coding-networks
  supervised deep sparse coding networks
  ☆31Updated 8 years ago
• colinvaz / nmf-toolbox
  Toolbox for performing Non-negative Matrix Factorization (NMF) and several variants
  ☆48Updated 6 years ago
• yuzhounh / 2DPCAL1-S
  Scripts for the paper: 2DPCA with L1-norm for simultaneously robust and sparse modelling.
  ☆17Updated 6 years ago
• Xiaoyang-Rebecca / PatternRecognition_Matlab
  Feature reduction projections and classifier models are learned by training dataset and applied to classify testing dataset. A few approa…
  ☆73Updated 4 years ago
• rupy / GCCA
  Generalized Canonical Correlation Analysis
  ☆51Updated 8 years ago
• panji530 / Low-rank-kernel-subspace-clustering
  ☆13Updated 6 years ago
• zbxnzs1990 / Group-sparse-Canonical-Correlation-Analysis
  Group sparse Canonical Correlation Analysis (group sparse CCA) is a method designed to study the mutual relationship between two differen…
  ☆13Updated 7 years ago
• erlendd / ddan
  Deep domain adaptation networks (DDAN) library for Python with TensorFlow.
  ☆75Updated 6 years ago
• csliangdu / FSASL
  An unsupervised feature selection algorithm with adaptive structure learning. This paper has been published as a research paper in KDD 20…
  ☆43Updated 8 years ago