Journal ArticleDOI
LIBSVM: A library for support vector machines
Chih-Chung Chang,Chih-Jen Lin +1 more
TLDR
Issues such as solving SVM optimization problems theoretical convergence multiclass classification probability estimates and parameter selection are discussed in detail.Abstract:
LIBSVM is a library for Support Vector Machines (SVMs). We have been actively developing this package since the year 2000. The goal is to help users to easily apply SVM to their applications. LIBSVM has gained wide popularity in machine learning and many other areas. In this article, we present all implementation details of LIBSVM. Issues such as solving SVM optimization problems theoretical convergence multiclass classification probability estimates and parameter selection are discussed in detail.read more
Citations
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Journal ArticleDOI
Age estimation using a hierarchical classifier based on global and local facial features
TL;DR: A new age estimation method using a hierarchical classifier method based on both global and local facial features is proposed, which was superior to that of the previous methods when using the BERC, PAL and FG-Net aging databases.
Journal ArticleDOI
Real-Time Face Detection and Motion Analysis With Application in “Liveness” Assessment
TL;DR: A robust face detection technique along with mouth localization, processing every frame in real time (video rate), is presented and "liveness" verification barriers are proposed as applications for which a significant amount of computation is avoided when estimating motion.
Patent
Method and system for detecting malicious and/or botnet-related domain names
Roberto Perdisci,Wenke Lee +1 more
TL;DR: In this paper, a method and system of detecting a malicious and/or botnet-related domain name, comprising of reviewing a domain name used in Domain Name System (DNS) traffic in a network is presented.
Journal ArticleDOI
Deep learning and artificial intelligence methods for Raman and surface-enhanced Raman scattering
Félix Lussier,Félix Lussier,Vincent Thibault,Benjamin Charron,Gregory Q Wallace,Jean-Francois Masson +5 more
TL;DR: A brief overview of the most common machine learning techniques employed in Raman, a guideline for new users to implement machine learning in their data analysis process, and an overview of modern applications of machine learning of Raman and SERS are provided.
Journal ArticleDOI
Robust Sparse Linear Discriminant Analysis
TL;DR: A novel feature extraction method called robust sparse linear discriminant analysis (RSLDA) is proposed to solve the above problems and achieves the competitive performance compared with other state-of-the-art feature extraction methods.
References
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Support-Vector Networks
Corinna Cortes,Vladimir Vapnik +1 more
TL;DR: High generalization ability of support-vector networks utilizing polynomial input transformations is demonstrated and the performance of the support- vector network is compared to various classical learning algorithms that all took part in a benchmark study of Optical Character Recognition.
Statistical learning theory
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Proceedings ArticleDOI
A training algorithm for optimal margin classifiers
TL;DR: A training algorithm that maximizes the margin between the training patterns and the decision boundary is presented, applicable to a wide variety of the classification functions, including Perceptrons, polynomials, and Radial Basis Functions.
A Practical Guide to Support Vector Classication
TL;DR: A simple procedure is proposed, which usually gives reasonable results and is suitable for beginners who are not familiar with SVM.
Journal ArticleDOI
A comparison of methods for multiclass support vector machines
Hsu Chih-Wei,Chih-Jen Lin +1 more
TL;DR: Decomposition implementations for two "all-together" multiclass SVM methods are given and it is shown that for large problems methods by considering all data at once in general need fewer support vectors.