Improved Particle Swarm Optimization approach for classification by using LDA

Nema, Swapnil; Thakur, S. S.

doi:10.1109/isco.2015.7282245

Cited by 2 publications

(1 citation statement)

References 8 publications

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“…The same way, Kishore et al (2014) used Gabor lter, but combined with Fast Fourier Transform (FFT). Di erently, Cheng et al (2014) searched for the optimal subset on the Self Quotient Image (SQI) features space meanwhile Nema and Thakur (2015) proposed to select features extracted by LDA. In their work the algorithm was adapted with a deterministic parameter control technique which decreases C1 and increases C2 exponentially with time.…”

Section: Particle Swarm Optimizationmentioning

confidence: 99%

Swarm intelligence and evolutionary computation approaches for 2D face recognition: a systematic review

Plichoski

Chidambaram

Parpinelli

2018

RBCA

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A wide range of approaches for 2D face recognition (FR) systems can be found in the literature due to its high applicability and issues that need more investigation yet which include occlusion, variations in scale, facial expression, and illumination. Over the last years, a growing number of improved 2D FR systems using Swarm Intelligence and Evolutionary Computing algorithms have emerged. The present work brings an up-to-date Systematic Literature Review (SLR) concerning the use of Swarm Intelligence and Evolutionary Computation applied in 2D FR systems. Also, this review analyses and points out the key techniques and algorithms used and suggests some directions for future research.Key words: Bio-inspired algorithms; Evolutionary algorithms; Face Recognition; Natural Computing; Optimization; Swarm algorithms ResumoUma ampla gama de abordagens para sistemas de reconhecimento facial (FR) 2D pode ser encontrada na literatura devido a sua alta aplicabilidade e também por questões que necessitam de mais investigação, incluindo oclusão, variações de escala, expressão facial e iluminação. Nos últimos anos, um número crescente de sistemas de FR 2D usando algoritmos de Inteligência de Enxame e Computação Evolucionária surgiram. O presente trabalho traz uma Revisão Sistemática de Literatura (SLR) atualizada sobre o uso da Inteligência de Enxame e Computação Evolucionária aplicada em sistemas de FR 2D. Além disso, esta revisão analisa e aponta as principais técnicas e algoritmos utilizados e sugere alguns direcionamentos para pesquisas futuras.

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Section: Particle Swarm Optimizationmentioning

confidence: 99%