NDLI: Bi-directional CRC algorithm using CNN-based features for face classification

Please wait, while we are loading the content...

Biosurface and Biotribology

CAAI Transactions on Intelligence Technology

CIRED - Open Access Proceedings Journal

Chinese Journal of Electronics

Cognitive Computation and Systems

Electronics Letters

Energy Conversion and Economics

Engineering & Technology

Engineering Biology

Healthcare Technology Letters

IET Circuits, Devices & Systems

IET Collaborative Intelligent Manufacturing

IET Communications

IET Computer Vision

IET Computers & Digital Techniques

IET Control Theory & Applications

IET Cyber-Physical Systems: Theory & Applications

IET Cyber-Systems and Robotics

IET Electric Power Applications

IET Electrical Systems in Transportation

IET Energy Systems Integration

IET Generation, Transmission & Distribution

IET Image Processing

IET Information Security

IET Intelligent Transport Systems

IET Microwaves, Antennas & Propagation

IET Nanobiotechnology

IET Nanodielectrics

IET Optoelectronics

IET Power Electronics

IET Quantum Communication

IET Radar, Sonar & Navigation

IET Renewable Power Generation

IET Science, Measurement & Technology

IET Signal Processing

IET Smart Cities

IET Systems Biology

IET Wireless Sensor Systems

Micro & Nano Letters

The Journal of Engineering

Volume 2018 : Issue 17, Nov

Volume 2018 : Issue 16, Nov

3D vision measurement for small devices based on consumer sensors

Accurate image registration method for PCB defects detection

Application of quantisation-based deep-learning model compression in JPEG image steganalysis

Application of stack marginalised sparse denoising auto-encoder in fault diagnosis of rolling bearing

Attribute reduction in interval-valued fuzzy ordered decision tables via evidence theory

Autonomous-driving vehicle test technology based on virtual reality

Beetle swarm optimisation for solving investment portfolio problems

Bi-directional CRC algorithm using CNN-based features for face classification

Boundary node detection for WSNs based on simple community percolation

Button recognition with texture feature based on spiking neural network

CNN-based reference comparison method for classifying bare PCB defects

Combining HWEBING and HOG-MLBP features for pedestrian detection

Convolutional neural network-based multi-label classification of PCB defects

Deep imitation reinforcement learning with expert demonstration data

Defect detection of PCB based on Bayes feature fusion

Dynamic target tracking based on corner enhancement with Markov decision process

Effect of demographic structure on resource utilisation using term frequency–inverse document frequency algorithm – evidence from China

Efficient community detection method based on attribution of nodes in complex network

Entropy-based feature extraction algorithm for stone carving character detection

Equilibrium point smooth escape algorithm for local route of unmanned surface vehicles

Fusion-based holistic road scene understanding

Handover detection approach based on trajectory data mining techniques

Harvesting sequence planning of a harvesting robot based on the principle of minimum energy consumption

Human trajectory prediction for automatic guided vehicle with recurrent neural network

Hysteretic chaotic neural network for crossbar switch problems

Image segmentation based on modified superpixel segmentation and spectral clustering

Improved bare PCB defect detection approach based on deep feature learning

Incremental multivariate Markov chain model

Indoor positioning technology based on map information perception

Influence of the hybrid-driven method on the electromagnetic properties of an electromagnetic motor

Information measure of absolute and relative quantification in double-quantitative decision-theoretic rough set model

Intelligent decision method for supplier selection

Intelligent identification of gas anomalous area by electro-magnetic joint exploration technology

Intelligent scheduling method for energy saving operation of multi-train based on genetic algorithm and regenerative kinetic energy

Invert-U-Net DNN segmentation model for MRI cardiac left ventricle segmentation

Kinematics analysis and experiment of a lily picking mechanical arm

Landlord's equal cards force generation algorithm

Linear representation of intra-class discriminant features for small-sample face recognition

Method for improving zero-shot image classification

Model compression of SDM-based face alignment for mobile applications

Multi-adjoint intuitionistic fuzzy rough sets

Multi-feature consultation model for human action recognition in depth video sequence

Multi-objective social spider optimisation algorithm

Multiple layers uneven clustering algorithm based on residual energy for wireless sensor networks

New microscopic image sequence-driven cell deformation model

Optimisation algorithm for decision trees and the prediction of horizon displacement of landslides monitoring

Optimisation design investigation of a cylindrical end curve towards a non-continuous profile of a cam mechanism

Pedestrian trajectory prediction via the Social-Grid LSTM model

Pitch tracking algorithm based on evolutionary computing with regularisation in very low SNR

RGB-D static gesture recognition based on convolutional neural network

Research on initial alignment of vehicle strapdown inertial navigation system

Research on intelligent dispatching strategy of power grid using multi-agent and knowledge discovery algorithm

Research on path planning of real-time obstacle avoidance of mechanical arm based on genetic algorithm

Research on the Opening Book of the computer game of draughts

Robust image registration of printed circuit boards using improved SIFT-PSO algorithm

Robust visual tracking via two-stage binocular sparse learning

Scene classification of remote sensing images based on hierarchical sparse coding

Semantic model of ship behaviour based on ontology engineering

Smartphone-based speed acquisition and differential evolution modelling for fitness running

Solution of the inverse problem of magnetic induction tomography based on Helmholtz coil

Study on control strategy for personalised lane-change on highway

Synthetic training samples for enhanced locality-constrained dictionary learning

Text clustering algorithm based on deep representation learning

Three-way recommendation integrating global and local information

Vector-based approaches for computing approximations in multigranulation rough set

Vehicle chaos identification and intelligent suppression under combined excitation of speed bump and engine

Volume 2018 : Issue 15, Oct

Volume 2018 : Issue 14, Jan

Volume 2018 : Issue 13, Jan

Volume 2018 : Issue 12, Dec

Volume 2018 : Issue 11, Nov

Volume 2018 : Issue 10, Oct

Volume 2018 : Issue 9, Sep

Volume 2018 : Issue 8, Aug

Volume 2018 : Issue 7, Jul

Volume 2018 : Issue 6, Jun

Volume 2018 : Issue 5, May

Volume 2018 : Issue 4, Apr

Volume 2018 : Issue 3, Mar

Volume 2018 : Issue 2, Feb

Volume 2018 : Issue 1, Jan

Bi-directional CRC algorithm using CNN-based features for face classification

Content Provider	IET Digital Library
Author	Wang, Yanan Na, Tian Song, Xiaoning Hu, Guosheng
Abstract	Collaborative representation-based classification (CRC) has become a breakthrough in face classification due to its distinguished collaborative capacity. Nevertheless, insufficient observations of per subject are usually offered by few or even a single gallery image for face classification, which lead to a sensitive response to the variations from the original data set. In this study, the authors present a bi-directional CRC algorithm using convolutional neural network-based features for face classification. They first employ a deep convolutional neural network to extract facial features from the original gallery and query sets, and then develop a fast reverse representation model to obtain the auxiliary residual information between each training sample and the reconstructed one that is achieved from the test sample. Secondly, they offer a new solution to the bi-directional optimisation problem by which the input sample is well represented by the forward linear combination and the reverse one, respectively. The last contribution is to utilise a competitive fusion method for robust face recognition, which weighted reconstructed residuals from the bi-directional representation model. Experimental results obtained from a set of well-known face databases including AR, FERET, and ORL verify the validity of the proposed method, especially in the robustness to small sample size problem.
Starting Page	1457
Ending Page	1462
Page Count	6
Volume Number	2018
e-ISSN	20513305
Issue Number	Issue 16, Nov (2018)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/joe/2018/16
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/joe.2018.8304
Journal	The Journal of Engineering
Publisher	The Institution of Engineering and Technology
Publisher Date	2018-08-16
Access Restriction	Open
Rights License	Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/)
Subject Keyword	Bi-directional CRC Algorithm Bi-directional Optimisation Problem Bi-directional Representation Model CNN-based Features Collaborative Representation-based Classification Computer Vision And Image Processing Technique Convolutional Neural Network-based Features Deep Convolutional Neural Network Face Classification Face Recognition Fast Reverse Representation Model Feature Extraction Image Classification Image Recognition Image Representation Neural Computing Technique Neural Nets Optimisation Optimisation Technique Robust Face Recognition
Content Type	Text
Resource Type	Article

Central Library (ISO-9001:2015 Certified)
Indian Institute of Technology Kharagpur
Kharagpur, West Bengal, India | PIN - 721302

See location in the Map
03222 282435
Mail: support@ndl.gov.in

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in