SOTAVerified

Sparse Representation-based Classification

Sparse Representation-based Classification is the task based on the description of the data as a linear combination of few building blocks - atoms - taken from a pre-defined dictionary of such fundamental elements.

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 11–20 of 49 papers

TitleStatusHype
Collaborative representation-based robust face recognition by discriminative low-rank representation—0
Collaborative Representation for Classification, Sparse or Non-sparse?—0
A Fast Dictionary Learning Method for Coupled Feature Space Learning—0
Continuous and Simultaneous Gesture and Posture Recognition for Commanding a Robotic Wheelchair; Towards Spotting the Signal Patterns—0
Improving Sparse Representation-Based Classification Using Local Principal Component Analysis—0
Discriminant Projection Representation-based Classification for Vision Recognition—0
Face Recognition in Movie Trailers via Mean Sequence Sparse Representation-Based Classification—0
Automatic Identification of Epileptic Seizures from EEG Signals using Sparse Representation-based Classification—0
HSR: L1/2 Regularized Sparse Representation for Fast Face Recognition using Hierarchical Feature Selection—0
Inverse Projection Representation and Category Contribution Rate for Robust Tumor Recognition—0
Show:102550
← PrevPage 2 of 5Next →

No leaderboard results yet.