Results 211 to 220 of about 206,811 (263)
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Extension of a Highly Discriminating Topological Index
Journal of Chemical Information and Modeling, 2015A highly discriminating topological index, EAID, is generated in our laboratory. A systematic search for degeneracy was performed on a total of over 14 million structures, and no duplicate occurred. These structures are as follows: over 3.8 million alkane trees with 1-22 carbon atoms; over 0.38 million structures containing heteroatoms; over 4 million ...
Qingyou, Zhang +5 more
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Feature Selection Based on Neighborhood Discrimination Index
IEEE Transactions on Neural Networks and Learning Systems, 2017Feature selection is viewed as an important preprocessing step for pattern recognition, machine learning, and data mining. Neighborhood is one of the most important concepts in classification learning and can be used to distinguish samples with different decisions.
Changzhong Wang +5 more
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Journal of the Optical Society of America, 1972
The area of the gamut, in a uniform chromaticity-scale diagram of the chromaticities of a standard array of object colors, is taken to be a measure of color-discrimination capability of an illuminant. The 1960 CIE u, v chromaticity diagram, and the eight test colors of the interim method for computing a color-rendering index, are used for demonstration.
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The area of the gamut, in a uniform chromaticity-scale diagram of the chromaticities of a standard array of object colors, is taken to be a measure of color-discrimination capability of an illuminant. The 1960 CIE u, v chromaticity diagram, and the eight test colors of the interim method for computing a color-rendering index, are used for demonstration.
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Pain Disability Index: Construct and discriminant validity
Archives of Physical Medicine and Rehabilitation, 1991The Pain Disability Index (PDI) was developed as a self-report measure of general and domain-specific, pain-related disability. This study's purpose was twofold: (1) to assess construct validity of the scale relative to other measures of pain-related disability and psychologic distress and (2) to assess the strength of the PDI, independent of pain ...
A, Jerome, R T, Gross
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A time‐dependent discrimination index for survival data
Statistics in Medicine, 2005AbstractTo derive models suitable for outcome prediction, a crucial aspect is the availability of appropriate measures of predictive accuracy, which have to be usable for a general class of models. The Harrell'sCdiscrimination index is an extension of the area under the ROC curve to the case of censored survival data, which owns a straightforward ...
L. Antolini, P. Boracchi, E. Biganzoli
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Discrimination integration index as a broadband discrimination index
SPIE Proceedings, 1996ABSTRACT Crop/weed/soil discrimination by optical reflectance on brassicas proved to be reliable for recogiwzing leaves of crops from leaves of weeds and soil, although differences on crop varieties,weed species population and type of soil. Radiometers using 10 nm bandwidth filters were used in earlier experiments, but higher reflected radiance could ...
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On Highly Discriminating Molecular Topological Index
Journal of Chemical Information and Computer Sciences, 1996A highly discriminating molecular topological index, EAID, is proposed based on the extended adjacency matrix. A systematic search for degeneracy was performed for 3 807 434 alkane trees, 202 558 complex cyclic or polycyclic graphs, and 430 472 structures containing heteroatoms.
Chang-Yu Hu, Lu Xu
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An Index of Pseudo-Discrimination Loss
Journal of Speech and Hearing Research, 1965An Index of Pseudo-Discrimination Loss (PDL-Index) has been developed for use with the recorded W-22 discrimination tests and is described. This PDL-Index is based on consideration of the kinds of errors made by the patient and provides an objective estimate of the relative contribution of extra-auditory influences to an obtained discrimination loss ...
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Palmprint recognition via discriminative index learning
2016 23rd International Conference on Pattern Recognition (ICPR), 2016In the past years, deep convolutional neural networks (CNNs) have become extremely popular in the computer vision and pattern recognition community. The computational power of modern processors, efficient stochastic optimization algorithms, and large amounts of training data allowed training complex tasks-specific features directly from the data in an ...
Jan Svoboda +2 more
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Locality discriminating indexing for document classification
Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval, 2007This paper introduces a locality discriminating indexing (LDI) algorithm for document classification. Based on the hypothesis that samples from different classes reside in class-specific manifold structures, LDI seeks for a projection which best preserves the within-class local structures while suppresses the between-class overlap.
Jiani Hu +3 more
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