Feature extraction is vital for face recognition. In this paper, we focus on the general feature
extraction framework for robust face recognition. We collect about 300 papers regarding face …

In recent years, several methods have been proposed to combine multiple kernels instead of
using a single one. These different kernels may correspond to using different notions of …

In this paper, we investigate kernel based methods for multimodal information analysis and
fusion. We introduce a novel approach, kernel cross-modal factor analysis, which identifies …

The current and future situation of our planet forces us to invest resources in the
development of alternative and sustainable sources of energy, capable of fulfilling the high …

This paper presents a novel distributed intelligent video surveillance architecture based on
Wireless Multimedia Sensor Networks (WMSNs). This architecture is part of a video …

A multiple kernel fusion method combining two multiresolution histogram face descriptors is
proposed to create a powerful representation method for face recognition. The multi …

This paper presents and an evaluation of results obtained from a face recognition system in
a real uncontrolled localization. The involved infrastructure is Barajas Airport (the …

Face recognition is an important security task. We propose a high-level method to solve this
problem: a permutation coding neural classifier (PCNC). A PCNC with a special feature …

Combination of machine learning and cryptoanalysis is a novel filed. The application of
machine learning decreases the manual work, time cost and storage space. On the basis of …

E-learning has grown to such an extent that paper-based testing is being replaced by
computer-based testing otherwise known as e-exams. Because these e-exams can be …