FEATURE EXTRACTION ENCHANCEMENT IN USERS’ ATTITUDE DETECTION

Feature Extraction and Matching as Signal Detection

Face Detection with Effective Feature Extraction

There is an abundant literature on face detection due to its important role in many vision applications. Since Viola and Jones proposed the first real-time AdaBoost based face detector, Haar-like features have been adopted as the method of choice for frontal face detection. In this work, we show that simple features other than Haar-like features can also be applied for training an effective fac...

Feature Extraction Methods for Intrusion Detection Systems

Intrusion Detection Systems (IDSs) have become an important security tool for managing risk and an indispensable part of overall security architecture. An IDS is considered as a pattern recognition system, in which feature extraction is an important pre-processing step. The feature extraction process consists of feature construction and feature selection. The quality of the feature construction...

Behavioral Feature Extraction for Network Anomaly Detection

Early, James P. Ph.D., Purdue University, August, 2005. Behavioral Feature Extraction for Network Anomaly Detection. Major Professors: Carla E. Brodley and Eugene H. Spafford. This dissertation presents an analysis of the features of network traffic commonly used in network-based anomaly detection systems. It is an examination designed to identify how the selection of a particular protocol attr...

Comparison of Parametric and Non-parametric EEG Feature Extraction Methods in Detection of Pediatric Migraine without Aura

Background: Migraine headache without aura is the most common type of migraine especially among pediatric patients. It has always been a great challenge of migraine diagnosis using quantitative electroencephalography measurements through feature classification. It has been proven that different feature extraction and classification methods vary in terms of performance regarding detection and di...