rburt / correntropy_spectral_density
Computes the correntropy spectral density of a signal using non-negative matrix factorization
☆10Updated 8 years ago
Alternatives and similar repositories for correntropy_spectral_density:
Users that are interested in correntropy_spectral_density are comparing it to the libraries listed below
- Various SVM based methods for domain adaptation☆10Updated 9 years ago
- Behaviour detection in wearable movement sensor data☆11Updated 5 years ago
- Multi-task learning framework (see Jayaram et al. 2016) written in MATLAB. Python version is in pyMTL☆14Updated 7 years ago
- Deep Multiple Kernel Learning by Span Bound☆10Updated 10 years ago
- Variational Bayesian Canonical Correlation Analysis☆30Updated 8 years ago
- Generalized Canonical Correlation Analysis☆49Updated 7 years ago
- Implementation of the SimpleMKL algorithm (multiple kernel SVM)☆20Updated 10 years ago
- Unsupervised feature learning based on sparse-filtering☆55Updated 10 years ago
- Yet ANother pattern recognition matlab toolbox☆36Updated 8 years ago
- EasyMKL☆15Updated 6 years ago
- code and data for the paper `Kernel Manifold Alignment for domain adaptation'☆19Updated 9 years ago
- Multivariate Dictionary Learning Algorithm☆23Updated last year
- Generalized linear models for neural spike train modeling, in Python! With GPU-accelerated fully-Bayesian inference, MAP inference, and n…☆44Updated 10 years ago
- Deep learning for EEG analysis. This script was used to generate the results of the paper "Joint Optimization of Algorithmic Suites for E…☆56Updated 9 years ago
- Lynx Matlab Toolbox☆23Updated 8 years ago
- a python code for deep canonical correlation analysis (dcca) written using numpy☆37Updated 4 years ago
- ☆15Updated 10 years ago
- (ICCV'17) When Unsupervised Domain Adaptation Meets Tensor Representations☆58Updated 7 years ago
- Sticky hierarchical Dirichlet process hidden Markov model for time series denoising☆46Updated 8 years ago
- Minimum redundancy maximum relevance feature selection approach for temporal gene expression data.☆11Updated 7 years ago
- Python implementation of Kernel Canonical Correlation Analysis☆49Updated 6 years ago
- Manifold Regularized Deep Neural Networks written in Python using numpy and gnumpy to run on GPUs.☆15Updated 7 years ago
- Canonical Correlation Analysis, Variational CCA☆24Updated 6 years ago
- Online Recursive Independent Component Analysis☆18Updated 6 years ago
- MatConvNet: CNNs for MATLAB☆51Updated 7 years ago
- Nonparametric Bayesian Inference for Sequential Data. Includes state-of-the-art MCMC inference for Beta process Hidden Markov Models (BP…☆78Updated 7 years ago
- Matlab implementations of fast algorithms for nonnegative matrix and tensor factorizations☆58Updated 10 years ago
- IPython notebooks for EEG/MEG data processing using mne-python☆27Updated 8 years ago
- Implementation of Deep Linear Discriminant Analysis (DeepLDA)☆48Updated 8 years ago
- solution for the American Epilepsy Society Seizure Prediction Challenge☆71Updated 6 years ago