Point cloud completion tool based on dictionary learning. Takes a PCL point cloud surface and fills in gaps or densifies sparse regions by learning from the various surface features of the cloud. This is done using a variation of the k-SVD dictionary learning algorithm that allows for continuous atoms and dealing with unstructured point cloud da…

Source code for our AAAI 2020 paper P-SIF: Document Embeddings using Partition Averaging

DL2S: Dictionary learning level set for ultrasound image segmentation

SDL: salinecy based dictionary learning

Learn an Sparse dictionary of 8 x 8 patches using an algorithm similar to K-SVD

A parallelized C++ implementation of discrete K-SVD and 2D continuous K-SVD for unstructured variable length signals,

Image denoising with sparse coding through K-SVD

Unofficial implementation of SVMs multi-class loss feedback based discriminative dictionary learning in python