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Face Detection Using Particle Swarm Optimization and Support Vector Machines [chapter]

Ermioni Marami, Anastasios Tefas
2010 Lecture Notes in Computer Science  
In this paper, a face detection algorithm that uses Particle Swarm Optimization (PSO) for searching the image is proposed.  ...  The algorithm uses a linear Support Vector Machine (SVM) as a fast and accurate classifier in order to search for a face in the two-dimension solution space.  ...  In order to check whether each image sub-window is a face or not, a very fast and efficient classifier is used, which is a linear support vector machine (SVM) that transforms the detection problem to an  ... 
doi:10.1007/978-3-642-12842-4_45 fatcat:622yw6fjljfspkppv27h57m7qa

Improvement of Clustering Mechanism using SVM and PSO in Reinforcement Learning

Vikas Malik
2019 International Journal for Research in Applied Science and Engineering Technology  
The proposed work consists of implementation of Support vector machine with integration of PSO for poker.  ...  In order to develop more efficient particle based implementation with integration of vector machine in poker is a challenging process.  ...  Due to these circumstances hybrid approach of particle Swarm Optimization with Support Vector Machine is required. Application Artificial Intelligence VI.  ... 
doi:10.22214/ijraset.2019.8014 fatcat:rep46fgsg5emlkut4b5msksl2m

Research on Leak Detection of Water Pipeline Base on PSO-SVM

Xue-yuan WANG, Zhi-gang CHEN, Xin-rong ZHONG
2017 DEStech Transactions on Engineering and Technology Research  
Leakage of water supply pipeline will cause waste of water resources and economic losses, the traditional support vector machine (SVM) had two free parameters (include kernel parameter g and penalty factor  ...  In this paper, a method was presented to establish a SVM model which used the particle swarm optimization algorithm (PSO) to determine the two unknown parameters.  ...  Acknowledgments This work was supported by the National Natural Science Foundation of China (No. 51004005) and the Beijing Excellent Talent Training (No. 2013D005017000013) and the Importation and Development  ... 
doi:10.12783/dtetr/ameme2016/5792 fatcat:xafmtfx7tzdgbftl36umalakfm

Using Particle Swarm Optimization for scaling and rotation invariant face detection

Ermioni Marami, Anastasios Tefas
2010 IEEE Congress on Evolutionary Computation  
The algorithm uses a linear Support Vector Machine (SVM) as fast and accurate classifier and searches for a face in four dimensions: plane, orientation of the face, size of the face.  ...  In this paper, a novel face detection algorithm based on Particle Swarm Optimization (PSO) method for searching in the image is proposed.  ...  ACKNOWLEDGEMENT This work has been funded by the Collaborative European Project MOBISERV FP7-248434 (, An Integrated Intelligent Home Environment for the Provision of Health, Nutrition and  ... 
doi:10.1109/cec.2010.5586159 dblp:conf/cec/MaramiT10 fatcat:pxoibgbuhbfhxk3l6dhjjw6mxm

Bi-Modality Anxiety Emotion Recognition with PSO-CSVM [chapter]

Ruihu Wang, Bin Fang
2011 State of the art in Biometrics  
It is based on a cascading support vector machines scheme and utilize Welch's t-test for the detection of differentially expressed genes.  ...  Optical-flow is used to analyze motion and AdaBoost is been for face detection.  ... 
doi:10.5772/18245 fatcat:7wihv4lrhzaj5atv6tmywh7rxq

Robust Real-Time Gradient-based Eye Detection and Tracking Using Transform Domain and PSO-Based Feature Selection

Nasrin Salehi, Maryam Keyvanara, Amirhassan Monadjemi
2017 ELCVIA Electronic Letters on Computer Vision and Image Analysis  
In this study, HoG (histogram of Oriented Gradient) descriptor is used to lay the ground for Binary Particle Swarm Optimization (BPSO) based feature selection.  ...  Subspace methods may improve detection efficiency and accuracy of eye centers detection using dimensionality reduction.  ...  Support Vector Machine Classifier Support vector machines (SVM) are a group of supervised learning methods that can be applied to classification or regression.  ... 
doi:10.5565/rev/elcvia.811 fatcat:ffehxjogtrbupoybvcjuvq4zeu

Improved the Detection Ratio of Cyber Attack using Feature Reduction based on Support Vector Machine and Glowworm Optimization

Himanshu Shroti, Kaptan Singh, Amit Saxena
2016 International Journal of Computer Applications  
The combination of support vector machine and glowworm swarm optimization performs very well in compression of pervious feature reduction technique.  ...  The family of swarm intelligence gives bucket of algorithm for the processing of feature reduction such as ant colony optimization, particle swarm optimization and many more.  ...  PROPOSED ALGORITHM In this section discuss the proposed algorithm for feature reduction of intruder file using glowworm swarm optimization and detection using support vector machine.  ... 
doi:10.5120/ijca2016912453 fatcat:ldsha5ljvbc4rlgwvbljmp6puq

Database Repeat Record Detection based on Improved Quantum Particle Swarm Optimization Algorithm

Guangzhou Yu
2019 International Journal of Performability Engineering  
The IQPSO algorithm was used to optimize the parameters of the support vector machine to obtain the optimal parameters of the support vector machine.  ...  Each small data set was used as an input to the support vector machine.  ...  The IQPSO algorithm was used to optimize the parameters of the support vector machine, and the optimized support vector machine parameters were used in the process of repeated record detection, which effectively  ... 
doi:10.23940/ijpe.19.02.p35.710718 fatcat:6iuota7s6bgt5mioemm3md7l2m

Hybrid Particle Swarm Optimization and Pegasos Algorithm for Spam Email Detection

El Bakrawy L..
2019 Advances in Systems Science and Applications  
Many spam detection methodshave been proposed but there is still need to detect the email spam effectively with high accuracy.In this paper, hybrid particle swarm optimization and Pegasos algorithm, which  ...  Particle swarm optimization is employed as asearch strategy to determine the optimal parameters for Pegasos algorithm in order to achievehigher performance.  ...  Pegasos algorithm is applied to solve the optimization problem cast by support vector machines (SVM) while particle swarm optimization is used as a search strategy to select the optimal parameters (the  ... 
doi:10.25728/assa.2019.19.3.751 fatcat:c7vg4w27ircipa723j4h6vkmhq

Fuzzy Particle Swarm Optimization Feature Selection and Aggrandized Classifier for Uncovering Frauds in Credit Card Deals

2020 International Journal of Engineering and Advanced Technology  
Introduces a new Fuzzy Particle Swarm Optimization (FPSO) feature selection for the amplification of fraud detection in credit cards. 3.  ...  By means of a prolonged wrapper method, an ensemble classification are performed by Aggrandized Kernel based Support Vector Machine (AKSVM).4.Refreshing the cardholder's social profile with an input system  ...  The work developed various decision tree and support vector machine based classifiers and used to detect frauds in credit cards.  ... 
doi:10.35940/ijeat.b4541.029320 fatcat:5jcuq3bdgfd45ej2zgqvmg7sf4

Particle Swarm Optimization Algorithm for Facial Image Expression Classification

S. Vijayarani, S. Priyatharsini
2016 International Journal of Signal Processing, Image Processing and Pattern Recognition  
Face detection methods are used to identify the similar faces from the large collection of facial images.  ...  In this research work facial expressions are classified by using the optimization algorithms.  ...  Library Support Vector Machine: LIBSVM is a library for Support Vector Machines (SVMs) and its objective is to use SVM easily in their applications.  ... 
doi:10.14257/ijsip.2016.9.9.02 fatcat:a7i7wxzebbd7plancwud7rsfuq

Biologically Inspired Computing System for Facial Emotion Detection: A Design Approach

Sonali Navghare, Shubhangi Giripunje, Preeti Bajaj
2012 International Journal of Computer Applications  
Particle Swarm Optimization (PSO) is a global optimization algorithm that originally took its inspiration from the biological examples by swarming, flocking and herding phenomena in vertebrates.  ...  The comparison of facial emotion recognition system using other techniques and PSO is done. It is found that PSO has better results over other techniques in terms of accuracy and time required.  ...  Least squares support vector machine (LS-SVM) [15] proposed by Suykens and Vandewalle (1999) is used for facial emotion detection.  ... 
doi:10.5120/7625-0685 fatcat:gomyjwnlwbaanj6rc6jtf2a6ly

Feature Selection of Diabetic Retinopathy Disease Using Particle Swarm Optimization and Neural Network

Asti Herliana, Toni Arifin, Sari Susanti, Agung Baitul Hikmah
2018 2018 6th International Conference on Cyber and IT Service Management (CITSM)  
The study result show that there is an increase in result by applying neural network based particle swarm optimization (PSO) of 76.11%.  ...  This study was conducting by applying particle swarm optimization (PSO) method to select the best Diabetic Retinopathy feature based on diabetic retinopathy dataset.  ...  The study compares Neural Network and Support Vector Machine methods toward coronary artery disease datasets of Cleveland and Statlog (binomial class and polynomial class).  ... 
doi:10.1109/citsm.2018.8674295 fatcat:p2nlils3izemhizpynhvjkzv7i

Segmentation and abnormality detection of cervical cancer cells using fast elm with particle swarm optimization

P. Sukumar, R.K. Gnanamurthy
2015 Genetika  
Therefore, Fast PSO-ELM helps to detect the cervical cancer cells with maximum accuracy.  ...  Sukumar P. and R.K. : Segmentation and abnormality detection of cervical cancer cells using fast elm with particle swarm optimization.  ...  PSO-ELM 79.22 38 Fast PSO-ELM 94.76 21 SVM-Support Vector Machine PSO-Particle Swarm Optimization ELM-Extreme Learning Machine SLFN-Single-hidden Layer Feed-forward neural Network HPV-Human  ... 
doi:10.2298/gensr1503863s fatcat:52mvmwgfnffu7jggmzyxc76ikq


Y. Zhang, J. J. Huang, S. H. Tang, P. W. Xing
2020 The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences  
At the same time, the combined method is better than the particle swarm optimization fitting method and BP neural network. The legal convergence effect is higher and the stability is better.  ...  The artificial bee colony algorithm can perform global tracking search on the parameters in the least squares support vector machine, imitate the honey collecting process of the bees, and use the primary  ...  Pu, (2018) has proposed the particle swarm optimization algorithm to optimize the traditional multi-face function fitting method, and further improved the search efficiency of eigenvalues in multi-faceted  ... 
doi:10.5194/isprs-archives-xlii-3-w10-1307-2020 fatcat:qtk6ptpinnazjgrkzmy5ojsuxu
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