Results 261 to 270 of about 306,626 (287)

LDA Measurements in Open Channel

Journal of Hydraulic Engineering, 1985
This paper presents mean velocity and some turbulence measurements for uniform subcritical flow in a smooth rectangular channel for three aspect ratios equal to 5.08, 7.83, and 12.3 obtained with a...
Peter M. Steffler, Nallamuthu Rajaratnam, Allan W. Peterson   +2 more
openaire   +2 more sources

Fusion of LDA and PCA for Face Verification

2002
Although face verification systems have proven to be reliable in ideal environments, they can be very sensitive to real environmental conditions. The system robustness can be increased by the fusion of different face verification algorithms. To the best of our knowledge, no face verification system tried exploiting the fusion of LDA and PCA.
MARCIALIS, GIAN LUCA, ROLI, FABIO
openaire   +5 more sources

On the errors of local density (LDA) and generalized gradient (GGA) approximations to the Kohn-Sham potential and orbital energies.

Journal of Chemical Physics, 2016
In spite of the high quality of exchange-correlation energies Exc obtained with the generalized gradient approximations (GGAs) of density functional theory, their xc potentials vxc are strongly deficient, yielding upshifts of ca.
O. Gritsenko, Ł. Mentel, E. Baerends
semanticscholar   +1 more source

Electronic structure and optical properties of Zn(OH)2: LDA+U calculations and intense yellow luminescence

, 2015
The electronic structure of Zn(OH)2 has been studied by first-principles calculations using the local density approximation + Hubbard U (LDA+U) scheme.
Mingsong Wang, Lingxia Jiang, E. Kim, S. Hahn   +3 more
semanticscholar   +1 more source

Ensemble of binary SVM classifiers based on PCA and LDA feature extraction for intrusion detection

IEEE Advanced Information Management, Communicates, Electronic and Automation Control Conference, 2016
Feature extraction addresses the problem of finding the most compact and informative set of features. To maximize the effectiveness of each single feature extraction algorithm and to develop an efficient intrusion detection system, an ensemble of Linear ...
A. Aburomman, M. Reaz
semanticscholar   +1 more source

LDA + DMFT and LDA + U study of the electronic and magnetic properties of DyFeSi

Journal of Magnetism and Magnetic Materials, 2018
Abstract Considering the strong correlation between 4f electrons in the rare earths has major effect on the calculated electronic and magnetic properties of compounds including rare earths, as neglecting this strong correlation in density functional theory (DFT) leads to the failing DFT for a proper description of mentioned properties. In this study,
openaire   +2 more sources

Positron Polarisation in Semiconductors from LDA

Materials Science Forum, 1992
The correlation potential, felt by a positron diffusing in some semiconductors and produced by polarisation cloud around the positron, is evaluated in the local density approximation (LDA). The electronic and the positronic structures are obtained using both pseudopotential and LMTO methods.
Rojas, Hortensia, Barbiellini-Amidei, Bernardo Gaetano, Jarlborg, Thomas N.   +2 more
openaire   +2 more sources

Analysis of in-cylinder flow processes by LDA

Combustion and Flame, 1994
The in-cylinder turbulent flow field of a small modern d.i. diesel engine motored over a wide speed range (from 1,000 to 3,000 rpm) has been studied with LDA. The engine has been modified with an optical access on the head, to allow measurements along horizontal planes.
Esposito Corcione F, Valentino G
openaire   +4 more sources

LDA for Face Profile Detection

2011
This paper presents a new approach to face profile classification. It was shown that the Linear Discriminant Analysis combined with the Principal Component Analysis can be used to construct an accurate face profile predictor. Proposed classifier achieves 85% accuracy in face profile prediction.
Andrzej Dziech, Tomasz Marcin Orzechowski, Krzysztof Rusek   +2 more
openaire   +2 more sources

LDA Revisited

Proceedings of the 25th ACM International on Conference on Information and Knowledge Management, 2016
Inference algorithms of latent Dirichlet allocation (LDA), either for small or big data, can be broadly categorized into expectation-maximization (EM), variational Bayes (VB) and collapsed Gibbs sampling (GS). Looking for a unified understanding of these different inference algorithms is currently an important open problem.
Jia Zeng, Mingxuan Yuan, Jianwei Zhang, Weixiong Rao, Jianfeng Yan   +4 more
openaire   +2 more sources