'Support vector machine' diaporamas de présentation

Online Social Networks and Media

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Scalable Information Extraction and Integration

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Robust real-time face detection

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MapReduce for Machine Learning on Multicore

MapReduce for Machine Learning on Multicore. Cheng-Tao Chu and Sang Kyun Kim et al. Stanford University, Stanford CA Presented by Inna Rytsareva. Outline. What is MapReduce? Problem Description and Formalization Statistical Query Model and Summation Form

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Hyperspectral Imaging to Discern Benign and Malignant Canine Mammary tumors

Hyperspectral Imaging to Discern Benign and Malignant Canine Mammary tumors. Amrita Sahu 6 th December, 2012. Control Sensor Network and Perception Laboratory Electrical and Computer Engineering Department Temple University Philadelphia, PA 19122, U.S.A. Outline. Motivation

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Clustering High Dimensional Data Using SVM

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An Introduction of Support Vector Machine

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An Introduction of Support Vector Machine

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Support Vector Machine (SVM) Classification

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Predicting zero-day software vulnerabilities through data mining

Predicting zero-day software vulnerabilities through data mining. Su Zhang Department of Computing and Information Science Kansas State University. Outline. Motivation. Related work. Proposed approach. Possible techniques. Plan. Outline. Motivation. Related work. Proposed approach.

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Fast and Extensible Building Modeling from Airborne LiDAR Data

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Recognition of Multi-Fonts Character in Early-Modern Printed Books

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Nearest Neighbour Condensing and Editing

Nearest Neighbour Condensing and Editing. David Claus February 27, 2004 Computer Vision Reading Group Oxford. Nearest Neighbour Rule. Non-parametric pattern classification. Consider a two class problem where each sample consists of two measurements ( x,y ).

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FRAppE : Detecting Malicious Facebook Applications

FRAppE : Detecting Malicious Facebook Applications. Md Sazzadur Rahman , Ting-Kai Huang, Harsha Madhyastha , Michalis Faloutsos University of California, Riverside . Problem S tatement. S ocial malware is rampant on Facebook. Problem Statement. MyPageKeeper can detect social malware*

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Particle swarm optimization for parameter determination and feature selection of support vector machines

Particle swarm optimization for parameter determination and feature selection of support vector machines. Shih-Wei Lin, Kuo-Ching Ying, Shih-Chieh Chen, Zne-Jung Lee. Expert Systems with Applications 2008 . Introduction. Classification problems have been extensively studied.

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Automatic Fault Detection in Friction Stir Welding

Paul Fleming Thomas Bloodworth Tracie Prater David Lammlein George E. Cook Alvin Strauss D. M. Wilkes David Delapp Thomas J. Lienert Matt Bement. Automatic Fault Detection in Friction Stir Welding. Friction Stir Welding. Recently (1991) developed solid state welding technique

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Recent Results in Support Vector Machines

Recent Results in Support Vector Machines. Dave Musicant. Graphic generated with Lucent Technologies Demonstration 2-D Pattern Recognition Applet at http://svm.research.bell-labs.com/SVT/SVMsvt.html. Simple Linear Perceptron. Class -1. Class 1.

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Part 3b: The Classification Problems continued

Part 3b: The Classification Problems continued . Neural networks and support vector machines do not have the restrictions of statistical classifiers and are thus particularly suitable for classification problems with remote sensing.

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Fuzzy Inference Systems for Brain-Computer Interfaces: a preliminary study

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Linear Discriminators

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