Face Recognition in real-world images [ICASSP 2017]
-
Updated
Feb 27, 2017 - Python
Face Recognition in real-world images [ICASSP 2017]
Hierarchical sparse coding using greedy matching pursuit.
Python Implementation of Proximal Methods for Hierarchical Sparse Coding
A scikit-learn based implementation of Sparse-Net.
This is the algorithmic implementation of orthogonal sparse coding algorithm used in sparse coding applications
HTM and sparse representation of MNIST
The project is about text sunmmarization with sparse coding
Greedy Adaptive Dictionary (GAD) is a learning algorithm that sets out to find sparse atoms for speech signals.
An unsupervised compressed-sensing technique for fundamental objects selection
Chinese Historical Phonology
Discriminative Dictionary Learning for (2D) Image Segmentation
A Python Library for Probabilistic Sparse Coding with Non-Standard Priors and Superpositions
A novel Sparse-Coding Based Approach Feature Selection with emphasizing joint l_1,2-norm minimization and the Class-Specific Feature Selection.
An implementation of Olshausen and Field (96) in PyTorch
Implementations from "A New Basis for Sparse PCA" paper at https://arxiv.org/abs/2007.00596
Dictionary Learning for image processing
Master's thesis about sparse approximation and dictionary learning using Cloud K-SVD for image denoising. Results show that the algorithm is able to learn sparse representations of signal vectors from distributed data samples in a heterogeneous network setup.
Transform-Invariant Non-Negative Matrix Factorization
Add a description, image, and links to the sparse-coding topic page so that developers can more easily learn about it.
To associate your repository with the sparse-coding topic, visit your repo's landing page and select "manage topics."