LiveZilla Live Chat Software

Robust and Low-Rank Representation for Fast Face Identification with Occlusions

Robust and Low-Rank Representation for Fast Face Identification with Occlusions

Starting at: Rs.5,500.00

5500 reward points

On Maximizing Diffusion Speed Over Social Networks With Strategic Users

propose an iterative method to address the face identification problem with block occlusions.Our approach utilizes a robust representation based on two characteristics in order to model contiguous errors (e.g., block occlusion) effectively. The first fits to the errors a distributionDescribed by a tailored loss function. The second describes the error image as having a specific structure (resulting in low-rank). We will show that this joint characterization is effective for describing errors with spatial continuity. Our approach is computationally efficient due to the utilization of the Alternating Direction Method of Multipliers (ADMM). A special case ofour fast iterative algorithm leads to the robust representation method which is normally used to handle non-contiguous errors (e.g., pixel corruption). Extensive results on representative facedatabases document the effectiveness of our method over existing robust representation methods with respect to both identification rates and computational time.Code is available at Github, where you can find implementa-tions of the F-LR-IRNNLS and F-IRNNLS ( fast version of theRRC) : ttps://


ClickMyProject Specifications
Including Packages
  * Supporting Softwares   * 24/7 Support
  * Complete Source Code   * Ticketing System
  * Complete Documentation   * Voice Conference
  * Complete Presentation Slides   * Video On Demand *
  * Flow Diagram   * Remote Connectivity *
  * Database File   * Code Customization **
  * Screenshots   * Document Customization **
  * Execution Procedure   * Live Chat Support
  * Readme File   * Toll Free Support *
  * Addons    
  * Video Tutorials    

*- PremiumSupport Service (Based on Service Hours) ** - Premium Development Service (Based on Requirements)

Add to Cart:

  • Model: PROJ7545
  • 999 Units in Stock
  • Manufactured by: ClickMyProjects

Please Choose:


This product was added to our catalog on Saturday 29 July, 2017.