Grammatical Evolution-Based Feature Extraction for Hemiplegia Type Detection

Feature Extraction for Gear Failure Detection Based on Nonlinear Mapping

A general-purpose useful parameter in data analysis is the intrinsic dimension of a data set, corresponding to the minimum number of variables necessary to describe the data without significant loss of information. Feature extraction, including linear or nonlinear mapping technique, is efficient to estimate the intrinsic dimension of the data set, which is a key issue to machine fault diagnosis...

An Image-based Feature Extraction Approach for Phishing Website Detection

Phishing website creators and anti-phishing defenders are in an arms race. Cloning a website is fairly easy and can be automated by any junior programmer. Attempting to recognize numerous phishing links posted in the wild e.g. on social media sites or in email is a constant game of escalation. Automated phishing website detection systems need both speed and accuracy to win. We present a new met...

Stereo Vision-based Feature Extraction for Vehicle Detection

This paper presents a stereo vision system for vehicle detection. It has been conceived as the integration of two different subsystems. Initially a stereo vision based system is used to recover the most relevant 3D features in the scene; due to the algorithm’s generality, all the vertical features are extracted as potentially belonging to a vehicle in front of the vision system. This list of si...

Cepstrum Based Feature Extraction Method for Fungus Detection

In this paper, a method for detection of popcorn kernels infected by a fungus is developed using image processing. The method is based on two dimensional (2D) mel and Mellin-cepstrum computation from popcorn kernel images. Cepstral features that were extracted from popcorn images are classified using Support Vector Machines (SVM). Experimental results show that high recognition rates of up to 9...

Evolution on FPGAs for Feature Extraction