SVM Based Forest Fire Detection Using Static and Dynamic Features
Jianhui Zhao, Zhong Zhang, Shizhong Han, Chengzhang Qu, Zhiyong Yuan, Dengyi Zhang (2011)
Computer Science and Information Systems
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Displaying similar documents to “Eye localization for face recognition”
SVM Based Forest Fire Detection Using Static and Dynamic Features
Comparison of speaker dependent and speaker independent emotion recognition
Jan Rybka, Artur Janicki (2013)
International Journal of Applied Mathematics and Computer Science
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This paper describes a study of emotion recognition based on speech analysis. The introduction to the theory contains a review of emotion inventories used in various studies of emotion recognition as well as the speech corpora applied, methods of speech parametrization, and the most commonly employed classification algorithms. In the current study the EMO-DB speech corpus and three selected classifiers, the k-Nearest Neighbor (k-NN), the Artificial Neural Network (ANN) and Support Vector...
Fusion based analysis of ophthalmologic image data
Jiří Jan, Radim Kolář, Libor Kubečka, Jan Odstrčilík, Jiří Gazárek (2011)
Kybernetika
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The paper presents an overview of image analysis activities of the Brno DAR group in the medical application area of retinal imaging. Particularly, illumination correction and SNR enhancement by registered averaging as preprocessing steps are briefly described; further mono- and multimodal registration methods developed for specific types of ophthalmological images, and methods for segmentation of optical disc, retinal vessel tree and autofluorescence areas are presented. Finally, the...
A new high-speed foreign fiber detection system with machine vision.
Chen, Zhiguo, Xu, Wenbo, Leng, Wenhao, Fu, Yi (2010)
Mathematical Problems in Engineering
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Intelligence in manufacturing systems: the pattern recognition perspective
Marek Zaremba (2010)
Control and Cybernetics
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Classification in the Gabor time-frequency domain of non-stationary signals embedded in heavy noise with unknown statistical distribution
Ewa Świercz (2010)
International Journal of Applied Mathematics and Computer Science
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A new supervised classification algorithm of a heavily distorted pattern (shape) obtained from noisy observations of nonstationary signals is proposed in the paper. Based on the Gabor transform of 1-D non-stationary signals, 2-D shapes of signals are formulated and the classification formula is developed using the pattern matching idea, which is the simplest case of a pattern recognition task. In the pattern matching problem, where a set of known patterns creates predefined classes,...
Determination of the number of texture segments using wavelets.
Havlicek, Joseph P., Tay, Peter C. (2001)
Electronic Journal of Differential Equations (EJDE) [electronic only]
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Innovative applications of associative morphological memories for image processing and pattern recognition.
Manuel Graña, Peter Sussner, Gerhard Ritter (2003)
Mathware and Soft Computing
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Morphological Associative Memories have been proposed for some image denoising applications. They can be applied to other less restricted domains, like image retrieval and hyperspectral image unsupervised segmentation. In this paper we present these applications. In both cases the key idea is that Autoassociative Morphological Memories selective sensitivity to erosive and dilative noise can be applied to detect the morphological independence between patterns. Linear unmixing based on...