Results 281 to 290 of about 498,935 (316)
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Dictionaries for image-based recognition
2013 Information Theory and Applications Workshop (ITA), 2013In recent years, Sparse Representation (SR) and Dictionary Learning (DL) have emerged as powerful tools for efficiently processing of image and video data in non-traditional ways. An area of promise for these theories is object recognition. In this paper, we present an overview of SR and DR and examine several interesting object recognition approaches ...
Vishal M. Patel +2 more
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Feature Recognition in Solar Images
Artificial Intelligence Review, 2005Despite several decades of research and development in the field of pattern recognition, the general problem of recognizing complex patterns with arbitrary orientations, locations, and scales remains unsolved and normally is applied using iterative manual evaluation of the detection results.
Valentina V. Zharkova +3 more
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Pickpocketing Recognition in Still Images
2021Human activity recognition (HAR) is a challenging topic in the computer vision field. Pickpocketing is a type of human criminal actions. It needs extensive research and development for detection. This paper researches how it’s possible of pickpocketing recognition in still images. This paper takes consideration both of classification and detection.
Prisa Damrongsiri, Hossein Malekmohamadi
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Image Quality and Target Recognition
Human Factors: The Journal of the Human Factors and Ergonomics Society, 1967The terminology and literature in the area of image quality and target recognition are reviewed. An experiment in which subjects recognized strategic and tactical targets in aerial photographs with controlled image degradations is described. Some findings are: Recognition performance is only moderate for representative conditions.
C A, Bennett +2 more
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Regularization Learning for Image Recognition
2019 18th IEEE International Conference On Machine Learning And Applications (ICMLA), 2019In order to reduce overfitting for the image recognition application, this paper proposes a novel regularization learning algorithm for deep learning. Above all, we propose a novel probabilistic representation for explaining the architecture of Deep Neural Networks (DNNs), which demonstrates that the hidden layers close to the input formulate prior ...
Xinjie Lan, Kenneth E. Barner
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Image Recognition for Mobile Applications
2007 IEEE International Conference on Image Processing, 2007Our paper presents a system for efficient recognition of landmarks taken from camera phones. Information such as tutorial rooms within the captured landmarks is returned to user within seconds. The system uses a database of multiple viewpoint's images for matching.
Jimmy Addison Lee, Kin Choong Yow 0001
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Building Recognition in Static Images
2019 23rd International Conference on System Theory, Control and Computing (ICSTCC), 2019In this paper we address the problem of recognizing buildings in static images. The method described is intended to be used to identify touristic landmarks in a set of vacation photos, while using few resources, and without the aid of consecrated, online solutions.
Alexandru Costache +3 more
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Statistical image processing and recognition
COMPSAC 79. Proceedings. Computer Software and The IEEE Computer Society's Third International Applications Conference, 1979., 2005This paper is concerned with the methodologies in statistical image processing and recognition. Specific areas considered are the following: (1) The decision rules in image recognition and their comparative evaluation under finite sample size condition; (2) Statistical feature extraction techniques for image segmentation with emphasis on the ...
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Constellation Recognition on Digital Images
2023 IEEE 17th International Symposium on Applied Computational Intelligence and Informatics (SACI), 2023Zsuzsanna Molnar, Dániel Kiss
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Applying image recognition techniques to visual information mining in hospitality and tourism
International Journal of Contemporary Hospitality Management, 2023Xianwei Liu +2 more
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