搜索资源列表
Gradient_Feature_Selection_for
- 关于on-line boosting的gradient feature selection的介绍,With regard to on-line boosting the introduction of gradient feature selection
AR_spectrla_analysisissatisfactory
- 本文主要介绍在PCI图像采集系统的基上，由B超序列图像重建出全方61 t4型心动图。通过梯度算法、曲线拟合算法等图像处理技术获得心动图波形函数，采用自回归谱估计分析获得较为满意的结果。谱分析方法为心脏病的临床诊断提供了一种新的方法。 -This paper mainly introduces the PCI-based image acquisition system, the B-sequence of images from the reconstruction of a full si
KernelBasedObjectTracking
- A new approach toward target representation and localization, the central component in visual tracking of nonrigid objects, is proposed. The feature histogram-based target representations are regularized by spatial masking with an isotropic kernel.
exgra1
- 求解变分不等式的两种外梯度算法对比。包括一种修正的外梯度法及其优化方法。-Solving Variational Inequality gradient algorithm for comparison of two things. Including an amendment to the outer gradient method and its optimization.
ders4_2007
- Develop two different implementations of Snake model by using a Greedy algorthm and an Gradient Descent method. Compare results. Put all details and results in your report.
ders5_2007
- Develop two different implementations of Snake model by using a Greedy algorthm and an Gradient Descent method. Compare results. Put all details and results in your report.
ders6_2007
- Develop two different implementations of Snake model by using a Greedy algorthm and an Gradient Descent method. Compare results. Put all details and results in your report.
ders7_2006
- Develop two different implementations of Snake model by using a Greedy algorthm and an Gradient Descent method. Compare results. Put all details and results in your report.
ders8_2006
- Develop two different implementations of Snake model by using a Greedy algorthm and an Gradient Descent method. Compare results. Put all details and results in your report.
GradientRadialBasis
- Gradient Radial Basis Function. Good review!
booking
- You can select the Brush Transform tool by clicking and holding the Gradient tool until the Brush Transform tool appears. When it does, select it. Basically, this tool allows you to transform the gradient brush, while the Gradient tool allows yo
Kernel_particle_filter_for_visual_tracking
- the Kernel Particle Filter (KPF)—is proposed for visual tracking in image sequences. The KPF invokes kernels to form a continuous estimate of the posterior density function. Particles are allocated based on the gradient information estimated
painless-conjugate-gradient.pdf
- congujate gradient method
SFS_3
- 论文介绍了一种SFS 算法的参数估计及其实现。它在考虑自遮掩影响的情况下, 有效地估计了SFS 算法中涉及的各种控制参数, 并引入亮度约束、灰度梯度约束和可积性约束, 计算出表面高度和表面向量, 实现三维重构。最后还指出了在Matlab 中实现需要注意的问题。-The paper introduced a SFS algorithm parameter estimation and its implementation. It under the condition of considering
matlab_4
- 基于matlab的4种梯度算子，Sobel Operator、Laplacian Operator、Prewitt Operator-Matlab based on the four kinds of gradient operator
template_matching_prabhjot
- matlab code is designed for template matching and further extraction of water bodies from satellite images based on gradient density. code also consists of color segmentation and automatic useful cluster selections.
RAPPORT_TP_RNEU
- RAPPORT_TP_RNEU La descente de gradient est une méthode d’optimisation très simple où l’on utilise la dérivée (ou le gradient, en dimension > 1) d’une fonction afin de trouver un extremum local. La méthode repose sur la formule itérative
tuxingVCPP
- 变形传递（ Deformation Transfer ）是将源网格的变形传递到目标网格上，使目标网格具有与源网格相似的变形。本文通过构造具有源网格的拓扑结构且与目标网格有相似的几何外形的中间网格，建立源网格与目标网格三角形之间的对应关系，对应的三角形具有相同的变形梯度，将源网格的变形传递到目标网格上。-Deformation transfer (Deformation Transfer) is the source of the grid will be passed to the target
csit2305
- This paper presents a novel approach for detecting vehicles for driver assistance. Assuming flat roads, vanishing point is first estimated using Hough transform space to reduce the computational complexity. Localization of vehicles is carried u
06334595
- An Improved Conjugate Gradient Algorithm for Radial Basis Function (RBF) Networks Modelling pdf