A Robust Group-Sparse Representation Variational Method With Applications to Face Recognition


For face recognition applications, we offer a Group-Sparse Representation-based technique (GSR-FR). A non-convex penalty for sparsity and a resilient non-convex loss function are included in the new sparse representation variational model. By employing an approximation of the l 0 quadsinorm, the penalty pushes groups to be sparse, and the loss function is chosen to be resilient to noise, occlusion, and disguise. Nonconvex optimization problems can be easily solved using a majorization-minimization technique paired with forward-backward splitting, which in particular reduces the solution to a sequence of easier convex optimization sub-problems that are more manageable. To verify the GSR-FR algorithm's viability, we conducted extensive experiments on a wide range of face databases and found it to be competitive with current methods that use sparse representation.

Did you like this research project?

To get this research project Guidelines, Training and Code... Click Here

PROJECT TITLE : Sensor-Less Five-Level Packed U-Cell PUC5 Inverter Operating in Stand-Alone ABSTRACT: In this paper, a new mode of operation for packed U-cell (PUC) inverters is presented. For the five-level packed U-cell
PROJECT TITLE :Control of fuzzy logic based mostly PV-battery hybrid system forstand-alone DC – applicationsABSTRACT:The paper presents a hybrid system comprising of photovoltaic (PV) and battery with fuzzy logic management (FLC)
PROJECT TITLE :High Voltage Gain Interleaved Boost Converter with Neural Network Based MPPT Controller for Fuel Cell Based Electric Vehicle ApplicationsABSTRACT:Due to the additional vigorous regulations on carbon gas emissions
PROJECT TITLE :On the Ergodic Rate Lower Bounds With Applications to Massive MIMO - 2018ABSTRACT:A well-known lower sure widely utilized in the large MIMO literature hinges on channel hardening, i.e., the phenomenon for which,
PROJECT TITLE :Encoding Short Ranges in TCAM Without Expansion: Efficient Algorithm and Applications - 2018ABSTRACT:We gift range encoding with no enlargement (RENÉ)- a completely unique encoding theme for brief ranges on Ternary

Ready to Complete Your Academic MTech Project Work In Affordable Price ?

Project Enquiry