Dictionary Learning

Dictionary learning is a machine learning technique focused on decomposing complex data into a set of simpler, interpretable components, or "atoms," forming a dictionary. Current research emphasizes developing robust algorithms, such as sparse autoencoders and variations of iterative shrinkage-thresholding algorithms (ISTA), to learn these dictionaries effectively, particularly in high-dimensional spaces and under noisy conditions. Applications span diverse fields, including signal processing, image analysis, and natural language processing, where dictionary learning aids in feature extraction, anomaly detection, and model interpretability, ultimately improving the efficiency and understanding of complex systems.

Papers

February 15, 2022

Audio Inpainting via $\ell_1$-Minimization and Dictionary Learning
Shristi Rajbamshi, Georg Tauböck, Peter Balazs, Nicki Holighaus
Sparsity Increase Audio Driven Dictionary Learning Signal to Distortion Ratio \Ell_1$ Minimization

February 2, 2022

Dictionary learning for clustering on hyperspectral images
Joshua Bruton, Hairong Wang
Unsupervised Learning Hyperspectral Image Dictionary Learning French Dictionary Unsupervised Feature Learning Hyperspectral Remote Sensing

January 11, 2022

Dictionary Learning with Uniform Sparse Representations for Anomaly Detection
Paul Irofti, Cristian Rusu, Andrei Pătraşcu
Anomaly Detection Sparse Representation Singular Value Decomposition Dictionary Learning

January 10, 2022

Model-Based Image Signal Processors via Learnable Dictionaries
Marcos V. Conde, Steven McDonagh, Matteo Maggioni, Aleš Leonardis, Eduardo Pérez-Pellitero
Image Denoising Dictionary Learning Raw Image RAW Image Image Signal Processor RAW Image Denoising

December 16, 2021

Sparse Coding with Multi-Layer Decoders using Variance Regularization
Katrina Evtimova, Yann LeCun
Supervised Autoencoder Sparse Representation Dictionary Learning Sparse Autoencoders Variance Regularization Decoder Layer

December 3, 2021

SSDL: Self-Supervised Dictionary Learning
Shuai Shao, Lei Xing, Wei Yu, Rui Xu, Yanjiang Wang, Baodi Liu
Self Supervised Learning Dictionary Learning Hypergraph Attention

November 29, 2021

Spherical Matrix Factorization
Kai Liu
Matrix Factorization Principal Component Analysis Dictionary Learning Non Negative Matrix Factorization Euclidean Distance

November 27, 2021

Sparse Subspace Clustering Friendly Deep Dictionary Learning for Hyperspectral Image Classification
Anurag Goel, Angshul Majumdar
Hyperspectral Image Classification Dictionary Learning Subspace Clustering Hyperspectral Image Segmentation Sparse Subspace Hyperspectral Image Clustering

November 24, 2021

Dynamic Texture Recognition using PDV Hashing and Dictionary Learning on Multi-scale Volume Local Binary Pattern
Ruxin Ding, Jianfeng Ren, Heng Yu, Jiawei Li
Natural Image Voxel Representation Dictionary Learning Texture Recognition Dimensional Feature Local Binary Pattern

November 17, 2021

Discriminative Dictionary Learning based on Statistical Methods
G. Madhuri, Atul Negi
Sparse Representation Dictionary Learning Sparse Linear Regression Statistical Method Sparse Code