Real-time face recognition has been of great interest in the last decade due to its wide and
varied critical applications which include biometrics, security in public places, and …

Malicious programs, or malware, often use code obfuscation techniques to make static
analysis difficult. To deal with this problem, various behavioral detection techniques have …

In linear algebra, Singular Value Decomposition (SVD) refers to factorization process of real
or complex matrices that has many applications in engineering, including signal processing …

Due to its very peculiar features, the development of e-skin can be effectively tackled using a
holistic approach. Starting from the definition of system specifications, the mechanical …

Considering the widespread diffusion of mobile applications in many aspects of our life, one
of the most required developer's skill is related to mobile applications development, with …

Singular value decomposition (SVD) is a fundamental computational kernel and tool wildly
used in data analytics such as least squares regression, principle components analysis …

In recent years, tensor computation has become a promising tool for solving big data
analysis, machine learning, medical image, and EDA problems. To ease the memory and …

In this paper we present a CORDIC based FPGA implementation of Singular Value
Decomposition for real time tactile information processing. The design is implemented to …

In this paper a system for real-time structure from motion computation is presented. The
module is dedicated for a video based Advanced Driver Assistance System, where …

Matrix decomposition, such as the Singular Value Decomposition (SVD) is an important
compute-intensive task in a wide variety of fields, from radar and simulation to image …