Home »
Academic Articles & Research Papers
Showing 20 of 113 academic articles
Christian Szegedy, Vincent Vanhoucke, Sergey Ioffe, Jon Shlens et al. • IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
(2016)
Convolutional networks are at the core of most state of-the-art computer vision solutions for a wide variety of tasks. Since 2014 very deep convolutional networks started to become mainstream, yielding substantial gains in various benchmark...
OPENALEX
DOI: https://doi.org/10.1109/cvpr.2016.308
R. D. Boyle, Robin Thomas • Cumulative Index of Computer Aided Architectural Design
(1988)
Computer vision is a new discipline recently developed from image processing, which is able to take raw images, and, after suitable processing, derive information from them automatically. Computer vision applications are legion in the areas...
OPENALEX
Asharul Islam Khan, Salim Al-Habsi • Procedia Computer Science
(2020)
During last few years the computer applications have gone dramatic transformation from simple data processing to machine learning, thanks to the availability and accessibility of huge volume of data collected through sensors and internet. T...
OPENALEX
cc-by-nc-nd
DOI: https://doi.org/10.1016/j.procs.2020.03.355
Thomas Baltzer Moeslund, Graham Thomas, Adrian Hilton • Advances in computer vision and pattern recognition
(2014)
OPENALEX
DOI: https://doi.org/10.1007/978-3-319-09396-3
Victor Wiley, Thomas Lucas • International Journal of Artificial Intelligence Research
(2018)
Computer vision has been studied from many persective. It expands from raw data recording into techniques and ideas combining digital image processing, pattern recognition, machine learning and computer graphics. The wide usage has attracte...
OPENALEX
cc-by-sa
DOI: https://doi.org/10.29099/ijair.v2i1.42
Ajesh Kumar, Toni Kuronen, Bilal Naqvi, Salla Annala et al. • Energy Informatics
(2026)
Abstract Energy Citizenship refers to individuals and communities participating, sometimes begrudgingly, in adopting energy solutions, whether sustainable or not. When enacted positively, it advances the green energy transition. There are s...
DOAJ
Open Access (DOAJ)
DOI: 10.1186/s42162-026-00691-0
C. H. Chen, Patrick S. P. Wang • WORLD SCIENTIFIC eBooks
(2005)
Both pattern recognition and computer vision have experienced rapid progress in the last twenty-five years. This book provides the latest advances on pattern recognition and computer vision along with their many applications. It features ar...
OPENALEX
DOI: https://doi.org/10.1142/5711
Patrick Henry Winston • Pattern Recognition
(1976)
OPENALEX
DOI: https://doi.org/10.1016/0031-3203(76)90020-0
Nanning Zheng, George D. Loizou, Xiaoyi Jiang, Xuguang Lan et al. • International Journal of Computer Mathematics
(2007)
This Special Issue of International Journal of Computer Mathematics (IJCM) offers a venue to present innovative approaches in computer vision and pattern recognition, which have been changing our e......
OPENALEX
DOI: https://doi.org/10.1080/00207160701303912
Albert Nigrin • The MIT Press eBooks
(1993)
In a simple and accessible way it extends embedding field theory into areas of machine intelligence that have not been clearly dealt with before. Neural Networks for Pattern Recognition takes the pioneering work in artificial neural network...
OPENALEX
DOI: https://doi.org/10.7551/mitpress/4923.001.0001
Mohaiminul Islam, Guorong Chen, Shangzhu Jin • American Journal of Neural Networks and Applications
(2019)
Neural networks represent a brain metaphor for information processing. These models are biologically inspired rather than an exact replica of how the brain actually functions. Neural networks have been shown to be very promising systems in ...
OPENALEX
cc-by
DOI: https://doi.org/10.11648/j.ajnna.20190501.12
Sandhya Samarasinghe • Auerbach Publications eBooks
(2011)
In response to the exponentially increasing need to analyze vast amounts of data, Neural Networks for Applied Sciences and Engineering: From Fundamentals to Complex Pattern Recognition provides scientists with a simple but systematic introd...
OPENALEX
DOI: https://doi.org/10.1201/9780849333750
Kyoungsu Oh, Keechul Jung • Pattern Recognition
(2004)
OPENALEX
DOI: https://doi.org/10.1016/j.patcog.2004.01.013
Suraj C. Kothari, Heekuck Oh • Advances in computers
(1993)
OPENALEX
DOI: https://doi.org/10.1016/s0065-2458(08)60404-0
Samanwoy Ghosh‐Dastidar, Hojjat Adeli • International Journal of Neural Systems
(2009)
Most current Artificial Neural Network (ANN) models are based on highly simplified brain dynamics. They have been used as powerful computational tools to solve complex pattern recognition, function estimation, and classification problems. A...
OPENALEX
DOI: https://doi.org/10.1142/s0129065709002002
Michael Egmont-Petersen, Dick de Ridder, Heinz Handels A • Pattern Recognition
(2002)
OPENALEX
DOI: https://doi.org/10.1016/s0031-3203(01)00178-9
• The MIT Press eBooks
(1988)
Stephen Grossberg and his colleagues at Boston University's Center for Adaptive Systems are producing some of the most exciting research in the neural network approach to making computers "think." Packed with real-time computer simulations ...
OPENALEX
DOI: https://doi.org/10.7551/mitpress/4934.001.0001
Keiron O’Shea, Ryan Nash • arXiv (Cornell University)
(2015)
The field of machine learning has taken a dramatic twist in recent times, with the rise of the Artificial Neural Network (ANN). These biologically inspired computational models are able to far exceed the performance of previous forms of art...
OPENALEX
Open Access
DOI: https://doi.org/10.48550/arxiv.1511.08458
Chris M. Bishop • Review of Scientific Instruments
(1994)
Neural networks provide a range of powerful new techniques for solving problems in pattern recognition, data analysis, and control. They have several notable features including high processing speeds and the ability to learn the solution to...
OPENALEX
DOI: https://doi.org/10.1063/1.1144830
Hanyu Xiang, Qin Zou, Muhammad Ali Nawaz, Xianfeng Huang et al. • Pattern Recognition
(2022)
OPENALEX
DOI: https://doi.org/10.1016/j.patcog.2022.109046