Klasifikasi Wajah Menggunakan Support Vector Machine (SVM)
REMIK (Riset dan E-Jurnal Manajemen Informatika Komputer), 2019 Klasifikasi wajah merupakan teknik yang dapat digunakan untuk membedakan karakteristik pola wajah seseorang. Sistem klasifikasi wajah adalah suatu aplikasi yang membuat sebuah mesin dapat mengenali wajah seseorang sesuai dengan citra wajah yang telah ditraining dan disimpan di dalam database mesin tersebut.
Rizal, Reyhan achmad +2 more
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Intelligent Diagnosis and Research of Epileptic Diseases Based on EEG Signals
Journal of Harbin University of Science and Technology, 2018 Aiming at the problem of low accuracy and classification of epileptic EEG in medical diagnosis,a signal classification and detection technique based on particle swarm optimization (PSO) was proposed to optimize the support vector machine (SVM) based on ...
LIU Chang-yuan, ZHANG Fu-hao, WEI Qi
doaj +1 more source
A New Approach to Optimize SVM for Insulator State Identification Based on Improved PSO Algorithm
Sensors, 2022 The failure of insulators may seriously threaten the safe operation of the power system, where the state detection of high-voltage insulators is a must for the normal and safe operation of the power system.
Lepeng Song +5 more
doaj +1 more source
An Exponential Lower Bound on the Complexity of Regularization Paths
, 2012 For a variety of regularized optimization problems in machine learning, algorithms computing the entire solution path have been developed recently. Most of these methods are quadratic programs that are parameterized by a single parameter, as for example ...
Gärtner, Bernd +2 more
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Accelerated Particle Swarm Optimization and Support Vector Machine for Business Optimization and Applications [PDF]
, 2011 Business optimization is becoming increasingly important because all business activities aim to maximize the profit and performance of products and services, under limited resources and appropriate constraints.
A. Chatterjee +23 more
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SUPPORT VECTOR MACHINES (SVMs) WITH UNIVERSAL KERNELS
Applied Artificial Intelligence, 2011 In this paper, a universal kernel function is introduced that could improve the classification accuracy of Support Vector Machines (SVMs) for both linear and nonlinear data sets. A class of universal kernel functions on the basis of the properties of the common kernels is proposed, which can find numerous applications in practice.
E. A. Zanaty, Ashraf Afifi
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Application of support vector machines on the basis of the first Hungarian bankruptcy model [PDF]
, 2013 In our study we rely on a data mining procedure known as support vector machine (SVM) on the database of the first Hungarian bankruptcy model. The models constructed are then contrasted with the results of earlier bankruptcy models with the use of ...
Boyacioglu M. A. +21 more
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Recent Advances of Slip Sensors for Smart Robotics
Advanced Materials Technologies, EarlyView.This review summarizes recent progress in robotic slip sensors across mechanical, electrical, thermal, optical, magnetic, and acoustic mechanisms, offering a comprehensive reference for the selection of slip sensors in robotic applications. In addition, current challenges and emerging trends are identified to advance the development of robust, adaptive,
Xingyu Zhang +8 more
wiley +1 more source
A Support Vector Machine (SVM) and Speeded Up Robust Features (SURF) for Indonesian Car Licence Plate Identification System [PDF]
, 2017 Volume 7 Issue 10 (October ...
Arnia, F. (Fitri) +2 more
core
Jeeva: Enterprise Grid-enabled Web Portal for Protein Secondary Structure Prediction [PDF]
, 2008 This paper presents a Grid portal for protein secondary structure prediction developed by using services of Aneka, a .NET-based enterprise Grid technology.
Buyya, Rajkumar +3 more
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