Results 231 to 240 of about 3,073,916 (262)

Classification of Visual Performance

Optometry and Vision Science, 1976
To the Editor. —Classification of visual performance has traditionally been according to the simple dichotomy of "legally seeing" vs "legally blind." This oversimplification has ignored the fact that there is another group with unique problems—patients with low vision . They differ from the blind in that they have usable vision.
B. E. Spivey, A. Colenbrander
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Predicting Sleep Classification Performance without Labels

2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 2020
When generating automatic sleep reports with mobile sleep monitoring devices, it is crucial to have a good grasp of the reliability of the result. In this paper, we feed features derived from the output of a sleep scoring algorithm to a 'regression ensemble' to estimate the quality of the automatic sleep scoring.
Kaare B, Mikkelsen, Yousef R, Tabar, Preben, Kidmose   +2 more
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Independence, Measurement Complexity, and Classification Performance

IEEE Transactions on Systems, Man, and Cybernetics, 1975
If f(x) and g(x) are the densities for the N-dimensional measurement vector x, conditioned on the classes c1 and c2, and if finite sets of samples from the two classes are available, then a decision function based on estimates f(x) and ?(x) can be used to classify future observations.
Chandrasekaran, B., Jain, Anil K.
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Bayesian classification and classification performance for independent distributions (Corresp.)

IEEE Transactions on Information Theory, 1981
Some general conditions are derived for the mean recognition accuracy of a Bayesian classifier to approach unity as the feature dimensionality increases to infinity.
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Classification Performance of Confidence-Driven Centroids

Cybernetics and Systems Analysis
Hyperdimensional computing (HDC) is a powerful algorithmic framework at the intersection of symbolic and neural network Artificial Intelligence. In particular, HDC has received significant attention as a suitable candidate for low-resource machine learning tasks, exemplified by wearable Internet of Things.
Smets, Laura, Rachkovskij, D., Osipov, E., Volkov, O., Van Leekwijck, W., Latré, Steven   +5 more
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Performance Evaluation of Face Classification Systems

2015
In this paper face classification systems based on 3D images are compared in terms of classification and metrological performance in presence of image uncertainty. In previous papers the authors proposed a new approach to classification and recognition problems.
Betta, Giovanni, CAPRIGLIONE, Domenico, Corvino, Mariella, Gasparetto, Michele, LIGUORI, CONSOLATINA, PAOLILLO, Alfredo, Zappa, Emanuele   +6 more
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Classification Performance Evaluation

2011
A great part of this book presented the fundamentals of the classification process, a crucial field in data mining. It is now the time to deal with certain aspects of the way in which we can evaluate the performance of different classification (and decision) models. The problem of comparing classifiers is not at all an easy task.
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Cancer Literature Classification Methods Performance

2020 International Conference on Decision Aid Sciences and Application (DASA), 2020
The literary classification system is the best solution to improve the data search process. In terms of the need, its goal is to compare the relevant biomedical papers and discover novel knowledge to identify potential research issues. This paper will present cancer literature classification performance by comparing three approaches, Naive Bayes ...
Cheng-Yuan Ho, Mariana Syamsudin, Yueh-Chun Shen   +2 more
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Engineering classification for environmental performance

Geological Society, London, Engineering Geology Special Publications, 2001
The condition of natural soils and rocks reflects the impact of a historical sequence of geological processes (Fookes 1997), including plate tectonics, depositional environment, structural and diagenetic change. Climate influences the effect of the atmosphere in producing surface-related weathering and, in particular, the climatic changes of the ...
J. H. Charman, P. J. Carey, P. G. Fookes
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High Performance Packet Classification

2004
In this proposal, we seek to develop methods for packet classiï¬cation that can deliver high performance (e.g. wire speed processing at 10 Gb/s) while being reasonably cost-effective (e.g. memory-efficient and having low hardware complexity). In particular, we discuss a new approach involving extended TCAMs.
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