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Solutions of the D-dimensional Schrdinger equation with Killingbeck potential:Lie algebraic approach
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作者 H.Panahi S.Zarrinkamar M.Baradaran 《Chinese Physics B》 SCIE EI CAS CSCD 2015年第6期138-143,共6页
Algebraic solutions of the D-dimensional Schrodinger equation with Killingbeck potential are investigated using the Lie algebraic approach within the framework of quasi-exact solvability. The spectrum and wavefunction... Algebraic solutions of the D-dimensional Schrodinger equation with Killingbeck potential are investigated using the Lie algebraic approach within the framework of quasi-exact solvability. The spectrum and wavefunctions of the system are reported and the allowed values of the potential parameters are obtained through the sl(2) algebraization. 展开更多
关键词 quasi-exactly solvable Schrodinger equation Killingbeck potential sl(2) Lie algebra representa-tion theory
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Multiple Feature Fusion in Convolutional Neural Networks for Action Recognition 被引量:5
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作者 LI Hongyang CHEN Jun HU Ruimin 《Wuhan University Journal of Natural Sciences》 CAS CSCD 2017年第1期73-78,共6页
Action recognition is important for understanding the human behaviors in the video,and the video representation is the basis for action recognition.This paper provides a new video representation based on convolution n... Action recognition is important for understanding the human behaviors in the video,and the video representation is the basis for action recognition.This paper provides a new video representation based on convolution neural networks(CNN).For capturing human motion information in one CNN,we take both the optical flow maps and gray images as input,and combine multiple convolutional features by max pooling across frames.In another CNN,we input single color frame to capture context information.Finally,we take the top full connected layer vectors as video representation and train the classifiers by linear support vector machine.The experimental results show that the representation which integrates the optical flow maps and gray images obtains more discriminative properties than those which depend on only one element.On the most challenging data sets HMDB51 and UCF101,this video representation obtains competitive performance. 展开更多
关键词 action recognition video deep-learned representa-tion convolutional neural network feature fusion
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Invariant integral and statistical equations of paraxial light beam transmission in free space
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作者 邓锡铭 郭弘 曹清 《Science China Mathematics》 SCIE 1997年第5期546-554,共9页
The statistical behavior of arbitrary paraxial light beams propagating in free space is investigated by using the Hermite-Gaussian expansion method and Fock’s representation. A series of equivalent Gaussian parameter... The statistical behavior of arbitrary paraxial light beams propagating in free space is investigated by using the Hermite-Gaussian expansion method and Fock’s representation. A series of equivalent Gaussian parameters for paraxial beam and the statistical equations for these parameters are presented. The optical transmission problem in quasi-far field region is studied. The so-called general Hermite-Gaussian beam is defined. 展开更多
关键词 optical TRANSMISSION equivalent GAUSSIAN beam Hermite-Gaussian expansion Fock’s representa-tion statistical equations.
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