Special Issue on Pattern Recognition at IEEE Intelligent Systems
Submission Deadline: 5 June 2015
Publication: November/December 2015
Pattern Recognition (PR) is one of the key abilities in human and machine intelligence, and an important branch of the more broad area of Artificial Intelligence (AI). Pattern recognition endows machines the ability of environmental perception, while cognition (including reasoning, knowledge engineering, and language understanding), is addressed by other branches of AI. PR and AI are often interwoven in intelligent systems (for example, the perceptron process exploits knowledge to solve ambiguities in recognition).
The scope of Pattern Recognition includes pattern classification (statistical and structural PR, neural networks, kernel methods, ensemble methods, etc.), clustering, feature extraction and selection, data pre-processing (such as image processing and segmentation), visual object recognition, video analysis, applications in document analysis, biometrics, medical imaging, remote sensing image analysis, multimedia, video surveillance, intelligent transportation, and so on. Methods and applications have both seen tremendous advances in recent years. For example, deep learning methods have boosted performance in many fields such as handwriting recognition, facial recognition, speech recognition, traffic sign recognition, and so on.
This special issue aims to report on and discuss the state of the art in pattern recognition theory and applications — particularly, new ideas, methods, and innovative applications. The topics of interest include, but are not limited to:
- Cognitive mechanism and mathematical foundation of PR
- Pattern classification
- Feature extraction and selection
- Machine learning for pattern recognition
- Object detection and recognition
- Image and Video analysis
- Applications in document analysis, biometrics, data mining, intelligent transportation, etc.
- Cheng-Lin Liu, Institute of Automation of Chinese Academy of Sciences, China
- Brian Lovell, University of Queensland, Australia
- Dacheng Tao, University of Technology Sydney, Australia
- Massimo Tistarelli, University of Sassari, Italy
Submissions should be 3,000 to 5,400 words (counting a standard figure or table as 200 words) and should follow IEEE Intelligent Systems style and presentation guidelines (www.computer.org/intelligent/author). The manuscripts cannot have been published or be currently submitted for publication elsewhere.
We strongly encourage submissions that include audio, video, and community content, which will be featured on the IEEE Computer Society Website along with the accepted papers.
Information about the special issue's focus: firstname.lastname@example.org
General author guidelines: www.computer.org/intelligent/author
Submission details: contact email@example.com
To submit an article: https://mc.manuscriptcentral.com/is-cs