{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Convolutional Dictionary Learning\n", "\n", "## Batch CDL\n", "\n", "- [Learn a convolutional dictionary (consensus method, greyscale\n", " images)](cbpdndl_cns_gry.ipynb)\n", "- [Learn a convolutional dictionary (PGM method, colour images,\n", " multiscale colour dictionary)](cbpdndl_pgm_clr.ipynb)\n", "- [Learn a convolutional dictionary (parallel consensus method,\n", " greyscale images)](cbpdndl_parcns_gry.ipynb)\n", "- [Learn a convolutional dictionary (parallel consensus method, colour\n", " images)](cbpdndl_parcns_clr.ipynb)\n", "- [Learn a convolutional dictionary (consensus method, video\n", " data)](cbpdndl_video.ipynb)\n", "- [Learn a convolutional dictionary with spatial masking (consensus\n", " method, greyscale images)](cbpdndl_md_gry.ipynb)\n", "- [Learn a convolutional dictionary with spatial masking (consensus\n", " method, colour images)](cbpdndl_md_clr.ipynb)\n", "- [Learn a convolutional dictionary from colour images using custom\n", " sparse coding and dictionary update](cbpdndl_jnt_clr.ipynb)\n", "- [Learn a convolutional dictionary without preprocessing of training\n", " data by inclusion of a gradient term in the optimisation\n", " problem](cbpdndl_grd.ipynb)\n", "- [Compute a convolutional dictionary update via the convolutional\n", " constrained MOD problem (consensus method, greyscale\n", " images)](ccmod_cns_gry.ipynb)\n", "- [Compute a convolutional dictionary update via the convolutional\n", " constrained MOD problem (PGM algorithms, greyscale\n", " images)](ccmod_pgm_gry.ipynb)\n", "\n", "## Online CDL\n", "\n", "- [Learn a convolutional dictionary (online method, greyscale\n", " images)](onlinecdl_gry.ipynb)\n", "- [Learn a convolutional dictionary with spatial masking (online\n", " method, greyscale images)](onlinecdl_msk_gry.ipynb)\n", "- [Learn a convolutional dictionary (online method, colour\n", " images)](onlinecdl_clr.ipynb)\n", "- [Learn a convolutional dictionary (online method, colour images,\n", " cupy accelerated solver)](onlinecdl_clr_cupy.ipynb)" ] } ], "metadata": {}, "nbformat": 4, "nbformat_minor": 4 }