搜索结果: 1-15 共查到“理学 kernel”相关记录80条 . 查询时间(0.117 秒)
Academy of Mathematics and Systems Science, CAS Colloquia & Seminars：Integral equations with bubble-type kernel via the method of moving spheres
运动球体 气泡型核 积分方程
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2023/4/27
In this talk, I will describe a moving sphere approach to a class of integral equations with bubble-type kernel. This class of equations comes from higher-order elliptic equations on the standard sphe...
ALEXNET FEATURE EXTRACTION AND MULTI-KERNEL LEARNING FOR OBJECTORIENTED CLASSIFICATION
AlexNet GLCM texture Multi-kernel learning Object-oriented classification feature extraction SVM
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2018/5/11
In view of the fact that the deep convolutional neural network has stronger ability of feature learning and feature expression, an exploratory research is done on feature extraction and classification...
On self-consistent estimators and kernel density estimators with doubly censored data
Asymptotic normality Failure rate function Right censored data: Survival distribution Uniform strong consistency
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2015/12/11
We study the detailed structure (in a large sample) of the self-consistent estimators of the survival functions with doubly censored data. We also introduce the kernel-type density estimators based on...
HEAT KERNEL ON MANIFOLDS WITH ENDS
MANIFOLDS WITH ENDS riemanniennes non-paraboliques
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2015/8/26
We prove two-sided estimates of heat kernels on non-parabolic
Riemannian manifolds with ends, assuming that the heat kernel on each end separately
satisfies the Li-Yau estimate.
Résumé. — Nous obte...
Small time heat kernel behavior on Riemannian complexes
Riemannian complexes kernel behavior
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2015/8/26
We study how bounds on the local geometry of a Riemannian
polyhedral complex yield uniform local Poincar′e inequalities. These
inequalities have a variety of applications, including bounds on the he...
Learning the kernel via convex optimization
Convex optimization kernel methods machine learning support vector machine
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2015/8/10
The performance of a kernel-based learning algorithm depends very much on the choice of the kernel. Recently, much attention has been paid to the problem of learning the kernel itself from given train...
A NEW PARALLEL KERNEL-INDEPENDENT FAST MULTIPOLE METHOD
Fast multipole methods adaptive algorithms massively parallel computing boundary integral equations N-body problems viscous flows
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2015/7/15
We present a new adaptive fast multipole algorithm and its parallel implementation. The algorithm is kernel-independent in the sense that the evaluation of pairwise interactions does not rely on any a...
A kernel-independent adaptive fast multipole algorithm in two and three dimensions
Fast multipole methods Fast solvers Integral equations Single-layer potential Double-layer potential Particle methods N-body problems
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2015/7/14
We present a new fast multipole method for particle simulations. The main feature of our algorithm is that it does not require the implementation of multipole expansions of the underlying kernel, and ...
A kernel independent fast multipole algorithm for radial basis functions
Radial basis functions Fast multipole method Kernel independency Multiscale method
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2015/7/14
A kernel independent fast multipole algorithm for radial basis functions.
Fast directional algorithms for the Helmholtz kernel
N-body problems Scattering problems Helmholtz equation Oscillatory kernels Fast multipole methods Separated representations Random sampling Operator compression Multidirectional computation Multiscale methods
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2015/7/14
This paper presents a new directional multilevel algorithm for solving N-body or N-point problems with highly oscillatory kernels. We address the problem by first proving that the interaction between ...
HORSESHOES IN MULTIDIMENSIONAL SCALING AND KERNEL METHODS
Horseshoe multidimensional scaling the kernel method
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2015/7/8
HORSESHOES IN MULTIDIMENSIONAL SCALING AND KERNEL METHODS。
Effects of Palm Kernel Expellers on Productive Performance, Nutrient Digestibility, and White Blood Cells of Lactating Sows
Lactating Sows Nutrient Digestibility Palm Kernel Expellers Performance White Blood Cells
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2016/5/18
This experiment was conducted to investigate the effects of palm kernel expellers on productive performance, nutrient digestibility, and changes in white blood cells (WBC) of lactating sows. A total o...
Effects of Palm Kernel Expellers on Growth Performance, Nutrient Digestibility, and Blood Profiles of Weaned Pigs
Growth Performance Nutrient Digestibility Palm Kernel Expellers Weaned Pigs
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2016/5/18
This experiment was conducted to investigate the effects of palm kernel expellers on growth performance, nutrient digestibility, and blood profiles of weaned pigs. A total of 88 weaned pigs (6.94±0.76...
Discrete Kernel Preserving Model for 1D Electron-Optical Phonon Scattering
D Electron-Optical Phonon Scattering Discrete Kernel Preserving Model
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2014/9/26
We investigate the discretization of of an electron-optical phonon scattering using
a nite volume method. The discretization is conservative in mass and is essentially
based on an energy point of v...
由于数据被核化后不能还原, 使核方法的应用受到局限. 对此, 提出一种基于Multi-kernel 和KRR的数据还原算法. 首先, 通过同类数据中已知数据进行多次核化迭代, 使已知数据在超高维欧氏空间中呈线性; 然后, 利用已知数据对同类未知数据进行线性表示, 并以Kernel ridge regression (KRR) 算法进行未知数据的回归; 最后实现数据还原. 选取Iris flower...