Results 271 to 280 of about 6,691,518 (337)

Automatic sports classification

Object recognition supported by user interaction for service robots, 2003
ASSAVID is an EU sponsored project which is concerned with the development of a system for the automatic segmentation and semantic annotation of sports video. We describe the method which automatically classifies unknown sports video into the type of sport being played.
Kieron Messer, William J. Christmas, Josef Kittler   +2 more
openaire   +1 more source

A novel multi-modal machine learning based approach for automatic classification of EEG recordings in dementia

Neural Networks, 2019
Electroencephalographic (EEG) recordings generate an electrical map of the human brain that are useful for clinical inspection of patients and in biomedical smart Internet-of-Things (IoT) and Brain-Computer Interface (BCI) applications.
C. Ieracitano, N. Mammone, A. Hussain, F. Morabito   +3 more
semanticscholar   +1 more source

Automatic syllabus classification

Proceedings of the 7th ACM/IEEE-CS joint conference on Digital libraries, 2007
Syllabi are important educational resources. However, searching for a syllabus on the Web using a generic search engine is an error-prone process and often yields too many non-relevant links. In this paper, we present a syllabus classifier to filter noise out from search results.
Xiaoyan Yu, Manas Tungare, Weiguo Fan, Manuel A. Pérez-Quiñones, Edward A. Fox, William Cameron, GuoFang Teng, Lillian N. Cassel   +7 more
openaire   +1 more source

On the automatic classification of app reviews

Requirements Engineering, 2016
App stores like Google Play and Apple AppStore have over 3 million apps covering nearly every kind of software and service. Billions of users regularly download, use, and review these apps. Recent studies have shown that reviews written by the users represent a rich source of information for the app vendors and the developers, as they include ...
Walid Maalej, Zijad Kurtanovic, Hadeer Nabil, Christoph Stanik   +3 more
openaire   +3 more sources

Automatic classification of ionogram with CNN

2020 IEEE International Conference on Consumer Electronics - Taiwan (ICCE-Taiwan), 2020
The ionosphere is an essential part of the near-earth environment. Ionosphere classification, especially the irregularities identification via ionograms in real time has significant meaning in the ionospheric research. In this paper, a method based on CNN is proposed to classify the ionograms automatically.
Wei-Yi Cheng, Ze-Wen Wan, Yi-Di Chen, Zi-Wei Chen   +3 more
openaire   +1 more source

Automatic Face Representation and Classification

Procedings of the British Machine Vision Conference 1998, 1998
A working face recognition system requires the ability to represent facial images in such a way that permits efficient and accurate processing. The human visual system effectively stores, recognises and classifies familiar facial images under a wide variety of viewing conditions, albeit with various degrees of accuracy.
Graham, D. B., Allinson, Nigel
openaire   +2 more sources

Toward the Automatic Modulation Classification With Adaptive Wavelet Network

IEEE Transactions on Cognitive Communications and Networking, 2023
With the evolutionary development of modern communications technology, automatic modulation classification (AMC) has played an increasing role in the complex wireless communication environment.
Jiawei Zhang, Tiantian Wang, Zhixi Feng, Shuyuan Yang   +3 more
semanticscholar   +1 more source

MTANet: Multi-Task Attention Network for Automatic Medical Image Segmentation and Classification

IEEE Transactions on Medical Imaging, 2023
Medical image segmentation and classification are two of the most key steps in computer-aided clinical diagnosis. The region of interest were usually segmented in a proper manner to extract useful features for further disease classification.
Yating Ling, Yuling Wang, Wen-Li Dai, Jie Yu, Ping Liang, Dexing Kong   +5 more
semanticscholar   +1 more source

Automatic Spectral Classification

1998
In this paper we report on a joint research project between astronomers and philosophers of science. The philosophical and the astronomical goal are described and the astronomical background is shortly reviewed. We present the current status of our development of methods for tackling the relevant classification problems, i.e.: (1) application of Bayes’
Christlieb, N., Graßhoff, G., Nelke, A., Schlemminger, A., Wisotzki, L.   +4 more
openaire   +2 more sources

MultiChannelSleepNet: A Transformer-Based Model for Automatic Sleep Stage Classification With PSG

IEEE journal of biomedical and health informatics, 2023
Automatic sleep stage classification plays an essential role in sleep quality measurement and sleep disorder diagnosis. Although many approaches have been developed, most use only single-channel electroencephalogram signals for classification ...
Yang Dai, Xiu-Li Li, Shan-Shan Liang, Lukang Wang, Qingtian Duan, Hui Yang, Chun-Qing Zhang, Xiaowei Chen, Longhui Li, Xing-Yi Li, Xiang Liao   +10 more
semanticscholar   +1 more source