Support Vector Machine (SVM) is one of the most popular and effective classification
algorithms and has attracted much attention in recent years. As an important large margin …

Face recognition is a popular research topic with a number of applications in several
industrial sectors including security, surveillance, entertainment, virtual reality, and human …

Kernel map** has attracted a great deal of attention from researchers in the field of pattern
recognition and statistical machine learning. Kernel-based approaches are the better choice …

Classification is one of the most predominant tasks for wide range of applications such as
Sentiment analysis in text, voice recognition, image recognition, genetic engineering, data …

Fatigue driving is a main cause for road traffic accidents. In case an alarm can be sent to
drivers one second before the potential traffic accidents, 90% similar traffic accidents can be …

To replenish the drowsy driving samples, the parallel diagnostic model with model analysis
and signal analysis is developed for the fatigue driving prediction. The preview optimal …

The main objective of this study was to classify the stateless communities using a Robust
Nonparametric Kernel Discriminant Function. A Robust Nonparamet-ric Kernel Discriminant …

every day, we see that a quantitative explosion of digital data has forced researchers to find
new strategies to collect, store, analyze and visualize data. In the context of storage and …

In this study four pairs of Ag/AgCl surface electrodes respectively that pasted on the muscle
belly of the biceps, triceps in the upper arm, palmaris longus and the brachioradialis muscle …

This paper presents a unique approach for the dichotomy between useful and adverse
variations of key-point descriptors, namely the identity and the expression variations in the …