supported by National Natural Science Foundation of China(Grant Nos.62032011,61972194).
Lighting prediction from a single image is becoming increasingly important in many vision and augmented reality(AR)applications in which shading and shadow consistency between virtual and real objects should be guaran...
This work was supported by the National Natural Science Foundation of China(No.11605296);the Natural Science Foundation of Guangdong Province,China(No.2016A030310208);Fundamental Research Funds for Central Universities(No.18lgpy87).
Background The accelerator-driven subcritical transmutation system(ADS)is an advanced technology for the harmless disposal of nuclear waste.A theoretical analysis of the ingredients and content of nuclear waste,partic...
Purpose-Developing algorithms for automated detection and tracking of multiple objects is one challenge in the field of object tracking.Especially in a traffic video monitoring system,vehicle detection is an essential...
Supported by NSAF(11176001);Science and Technology Developing Foundation of China Academy of Engineering Physics(2012A0202006)
An empirical numerical model that includes nuclear absorption, multiple Coulomb scattering and energy loss is presented for the calculation of transmission through thick objects in high energy proton radiography. In t...
supported by the National Natural Science Foundation of China(No.61102008,No.61102095,No.61163017,No.61173090,No.61261043,No.61440044);the Open Research Fund Program of Key Laboratary of Intelligent Perception and Image Understanding of Ministry of Education of China(No.IPIU012011006,No.IPIU01201108);the Science Research Project of Beifang University of Nationalities(No.2100Y021);the Ningxia Science Foundation of China(No.NZ13097)
The edge and contour details in SAR images are important for subsequent processing tasks. The multiscale geometric analysis method — Nonsubsampled contourlet transform(NSCT) is able to capture the geometric informati...
In this paper,we make use of the boosting method to introduce a new learning algorithm for Gaussian Mixture Models (GMMs) called adapted Boosted Mixture Learning (BML). The method possesses the ability to rectify the ...
This paper considers three algorithms for the extraction of square roots of complex integers {called Gaussians} using arithmetic based on complex modulus p + iq. These algorithms are almost twice as fast as the analog...
We continue our study on classification learning algorithms generated by Tikhonov regularization schemes associated with Gaussian kernels and general convex loss functions. Our main purpose of this paper is to improve...
Zero-crossing of a derivative of Gaussian filter is a well-known edge location criterion. Examples are the Laplacian, the second derivative in the gradient direction (SDGD) and the sum of the Laplacian and SDGD (PLUS)...
Although 'ab initio' quantum chemical calculation is theoretically very important, and has many practical uses, yet due to the fact that the amount of calculation work is nearly proportional to the 4th power of the nu...