Results 141 to 150 of about 5,808 (182)
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Hierarchical orthogonalization of descriptors
International Journal of Quantum Chemistry, 1997A novel hierarchical orthogonalization procedure is described for a set of partially ordered molecular descriptors to be used in making statistical correlations within a given data set.
Douglas J. Klein +5 more
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The Dimensionality Of Psychopathology Descriptors
Multivariate Behavioral Research, 1981This study identified five stable dimensions that judges utilized in making similarity judgments of a set of 26 psychopathology descriptors from a diverse domain representing traditional psychopathology descriptions such as lay labels, and diagnostic categories from the second edition of the Diagnostic and Statistical Manual (DSM II), as well as ...
M J, Paquin, D N, Jackson
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International Journal of Systems Science, 1999
A unifying framework of steady-state Kalman filtering, smoothing and prediction for descriptor systems is presented by using the innovation analysis method in the time domain. The descriptor Kalman estimators are presented on the basis of the autoregressive moving-average innovation model and white-noise estimators.
Zi-Li Deng, Yu-Mei Liu
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A unifying framework of steady-state Kalman filtering, smoothing and prediction for descriptor systems is presented by using the innovation analysis method in the time domain. The descriptor Kalman estimators are presented on the basis of the autoregressive moving-average innovation model and white-noise estimators.
Zi-Li Deng, Yu-Mei Liu
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Journal of Mathematical Chemistry, 2010
In this paper, we introduce the one-two descriptor. The one-two descriptors is the sum of the vertex contributions such that each pendant vertex contributes 1, each vertex of degree two adjacent to pendant vertex contributes 2, and each vertex of degree higher than two also contributes 2.
Vukičević, Damir +6 more
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In this paper, we introduce the one-two descriptor. The one-two descriptors is the sum of the vertex contributions such that each pendant vertex contributes 1, each vertex of degree two adjacent to pendant vertex contributes 2, and each vertex of degree higher than two also contributes 2.
Vukičević, Damir +6 more
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2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015
A nested motion descriptor is a spatiotemporal representation of motion that is invariant to global camera translation, without requiring an explicit estimate of optical flow or camera stabilization. This descriptor is a natural spatiotemporal extension of the nested shape descriptor [2] to the representation of motion.
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A nested motion descriptor is a spatiotemporal representation of motion that is invariant to global camera translation, without requiring an explicit estimate of optical flow or camera stabilization. This descriptor is a natural spatiotemporal extension of the nested shape descriptor [2] to the representation of motion.
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1983
This section reviews the molecular shape descriptors developed by Amoore, Allinger, Simon et al. and Testa and Purcell. The illustrative examples discussed refer to the odour similarity and cardiotoxic aglycones. One has stressed the methods based on the reference structure because, correctly formulated, these methods seem to offer promising ...
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This section reviews the molecular shape descriptors developed by Amoore, Allinger, Simon et al. and Testa and Purcell. The illustrative examples discussed refer to the odour similarity and cardiotoxic aglycones. One has stressed the methods based on the reference structure because, correctly formulated, these methods seem to offer promising ...
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Complementary Keypoint Descriptors
2016We examine the use of complementary descriptors for keypoint recognition in digital images. The descriptors combine multiple types of information, including shape, color, and texture. We first review several keypoint descriptors and propose new descriptors that use normalized brightness/color spatial histograms.
Clark F. Olson +3 more
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Machine learning identified materials descriptors for ferroelectricity
Acta Materialia, 2021Dezhen Xue, Yang Bai, Cheng Wen
exaly

