Pattern analysis often requires a pre-processing stage for extracting or selecting features in
order to help the classification, prediction, or clustering stage discriminate or represent the …

Biometric recognition schemes are commonly utilized for security purposes. These schemes
face two major challenges: security challenge and reliance on a particular biometric for …

This paper presents a methodology for Age-Invariant Face Recognition (AIFR), based on the
optimization of deep learning features. The proposed method extracts deep learning …

Using convolution neural network (CNN) for face recognition is being widely research with a
promising significant in applications and it is interested by many authors. Moreover, the CNN …

With the capability of storing huge volumes of data over the Internet, cloud storage has
become a popular and desirable service for individuals and enterprises. The security issues …

It is a challenging problem to classify multi-dimensional data with complex intrinsic geometry
inherent, such as human gesture recognition based on videos. In particular, manifold …

El modelado y reconocimiento de rostros es actualmente un área en boga debido a la
multitud de aplicaciones que tiene su uso para distintas herramientas de modelado y …

El retrato hablado es una técnica frecuentemente utilizada en la investigación policial. Sin
embargo, la investigación de laboratorio indica que el nivel de identificación de un rostro, a …

TÓM TẮT Mạng nơ-ron tích chập (CNN) là một trong những mô hình học sâu hiệu quả nhất
trong lĩnh vực nhận diện khuôn mặt, các vùng hình ảnh khác nhau luôn được sử dụng đồng …

Recently, more and more attention has been paid to the connected object detection for
better performance. One of the most interesting fields is learning from multiple resources in a …