Sparse representation and overcomplete dictionary learning for anomaly detection in electrocardiograms

Machine Learning Techniques Applied to Data Analysis and Anomaly Detection in ECG Signals

(2016) Tomasz Andrysiak   APPLIED ARTIFICIAL INTELLIGENCE

Sparse sample self-representation for subspace clustering

(2016) Zhenyun Deng et al.   NEURAL COMPUTING & APPLICATIONS

Sparse Coding with Anomaly Detection

(2014) Amir Adler et al.   Journal of Signal Processing Systems for Signal Image and Video Technology

ECG Enhancement and QRS Detection Based on Sparse Derivatives

(2013) Xiaoran Ning et al.   Biomedical Signal Processing and Control

Learning Incoherent Dictionaries for Sparse Approximation Using Iterative Projections and Rotations

(2013) Daniele Barchiesi et al.   IEEE TRANSACTIONS ON SIGNAL PROCESSING

Dictionaries for Sparse Representation Modeling

(2010) Ron Rubinstein et al.   PROCEEDINGS OF THE IEEE

Anomaly detection

(2009) Varun Chandola et al.   ACM COMPUTING SURVEYS

Heartbeat Time Series Classification With Support Vector Machines

(2009) A. Kampouraki et al.   IEEE TRANSACTIONS ON INFORMATION TECHNOLOGY IN BIOMEDICINE

A Fast Iterative Shrinkage-Thresholding Algorithm for Linear Inverse Problems

(2009) Amir Beck et al.   SIAM Journal on Imaging Sciences

From Sparse Solutions of Systems of Equations to Sparse Modeling of Signals and Images

(2009) Alfred M. Bruckstein et al.   SIAM REVIEW

A novel approach for classification of ECG arrhythmias: Type-2 fuzzy clustering neural network

(2008) Rahime Ceylan et al.   EXPERT SYSTEMS WITH APPLICATIONS

A New Alternating Minimization Algorithm for Total Variation Image Reconstruction

(2008) Yilun Wang et al.   SIAM Journal on Imaging Sciences