An introduction to a broad range of topics in deep learning, covering mathematical and conceptual background, deep learning techniques used in industry, and research …
A Delorme, SJ Thorpe - Neural Networks, 2001 - Elsevier
The short response latencies of face selective neurons in the inferotemporal cortex impose major constraints on models of visual processing. It appears that visual information must …
Inventors have long dreamed of creating machines that think. Ancient Greek myths tell of intelligent objects, such as animated statues of human beings and tables that arrive full of …
Computer and Machine Vision: Theory, Algorithms, Practicalities (previously entitled Machine Vision) clearly and systematically presents the basic methodology of computer and …
R Jafri, HR Arabnia - journal of information processing systems, 2009 - koreascience.kr
Face recognition presents a challenging problem in the field of image analysis and computer vision, and as such has received a great deal of attention over the last few years …
M Narzillo, A Bakhtiyor, K Shukrullo… - 2021 International …, 2021 - ieeexplore.ieee.org
Paper describes the analysis of methods for detecting and tracking faces, as well as recognition algorithms in the development of systems for recognizing faces in images and …
U Park, Y Tong, AK Jain - IEEE transactions on pattern analysis …, 2010 - ieeexplore.ieee.org
One of the challenges in automatic face recognition is to achieve temporal invariance. In other words, the goal is to come up with a representation and matching scheme that is …
Techniques that can introduce low-dimensional feature representation with enhanced discriminatory power is of paramount importance in face recognition (FR) systems. It is well …