Results 241 to 250 of about 880,054 (288)
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Threshold adaptation in normal listeners
The Journal of the Acoustical Society of America, 1973Threshold adaptation for 500, 1000, 2000, and 4000 Hz was studied with the Carhart, Rosenberg, and Owens tone decay tests using 40 normal-hearing subjects. Differences in tone decay were evaluated for effects of experimental technique, frequency, hearing level and SPL of the stimuli.
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Author Clustering with an Adaptive Threshold
2017This paper describes and evaluates an unsupervised author clustering model called Spatium. The proposed strategy can be adapted without any difficulty to different natural languages (such as Dutch, English, and Greek) and it can be applied to different text genres (newspaper articles, reviews, excerpts of novels, etc.).
Mirco Kocher, Jacques Savoy
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EUROCON 2005 - The International Conference on "Computer as a Tool", 2005
Threshold puzzles represent an improved version of client puzzles, which have been proposed to add DoS resistance to authentication protocols. They involve the time management of solved puzzle instances, thus making the protocol resistant to strong attacks.
V. Bocan, M. Fagadar-Cosma
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Threshold puzzles represent an improved version of client puzzles, which have been proposed to add DoS resistance to authentication protocols. They involve the time management of solved puzzle instances, thus making the protocol resistant to strong attacks.
V. Bocan, M. Fagadar-Cosma
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Increment Threshold and Dark Adaptation*
Journal of the Optical Society of America, 1963The increment threshold ΔI as a function of the background field I is independent of the amount of bleaching in rods and cones; the value of ΔI for rods depends upon the activity of their neighbors. The absorption of one quantum always elicits a rod signal, but its effectiveness depends upon the threshold for signals in the summation pool.In dark ...
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An adaption mechanism for the error threshold of XCSF
Proceedings of the 2020 Genetic and Evolutionary Computation Conference Companion, 2020Learning Classifier System (LCS) is a class of rule-based learning algorithms, which combine reinforcement learning (RL) and genetic algorithm (GA) techniques to evolve a population of classifiers. The most prominent example is XCS, for which many variants have been proposed in the past, including XCSF for function approximation.
Tim Hansmeier +2 more
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Wavelets and adaptive thresholding
Journal of Communications Technology and Electronics, 2014The discrete wavelet transform and its application for signal denoising is considered. The article is oriented to readers unfamiliar with the wavelet theory and, therefore, basic definitions and theorems required for the understanding of the material below are presented at the beginning of the article.
M. V. Obidin, A. P. Serebrovski
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Adaptation of Olfactory Threshold at High Altitude
2014The aim of this study was to investigate the effects of the extreme environment of high altitude hypoxia on olfactory threshold. The study was conducted before, during, and after a scientific expedition to Mera Peak (5,800 m). The n-butanol test was used for the assessment of the magnitude of the olfactory threshold.
Ruffini, R +5 more
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Self-adapting threshold of pulmonary parenchyma
2016 9th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI), 2016Segmentation for pulmonary parenchyma is a crucial step for computer aided diagnosis (CAD) systems. The accuracy of pulmonary parenchyma segmentation can have a great impact on further steps of CAD systems, such as pulmonary nodule detection and feature extraction.
Xin-Yue Li +5 more
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Efficient adaptive thresholding with image masks
SPIE Proceedings, 2014Adaptive thresholding is a useful technique for document analysis. In medical image processing, it is also helpful for segmenting structures, such as diaphragms or blood vessels. This technique sets a threshold using local information around a pixel, then binarizes the pixel according to the value.
Young-Taek Oh +3 more
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An efficient architecture for adaptive progressive thresholding
Asia-Pacific Conference on Circuits and Systems, 2003A new pipelined architecture for adaptive progressive thresholding (APT) is proposed. Unlike the conventional architectures that rely heavily on multipliers and dividers to evaluate the maximum between-class variance, our method employs a reconfigurable logarithmic computing unit to simplify the circuitry and increases the application's ability to ...
Hui Tian +3 more
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