搜索资源列表
pCed
- 最优的阶梯型边缘（step edge）检测算法---Canny边缘检测方法，边缘检测是提取图像特征的首要条件.一种改进型Canny边缘检测算法-optimal ladder edges (step edge) detection algorithm -- Canny edge detection method , edge detection image feature extraction is the first condition. An improved Canny edge detec
poly_svm
- 核函数是利用支持向量机解决不可分问题时引入的一种非线性变换的手段。基本思想是通过非线性变换，使样本变换之后的特征空间中变得线性可分。然后利用线性可分时构造最优超平面的方法，在特征空间中实现最优超平面的求解。-Kernel function is the use of support vector machine to resolve the issue can not be separated from the introduction of a nonlinear transform mean
sba-1.5
- sba, a C/C++ package for generic sparse bundle adjustment is almost invariably used as the last step of every feature-based multiple view reconstruction vision algorithm to obtain optimal 3D structure and motion (i.e. camera matrix) parameter estimat
sba-1.6
- 集束调整是指同时调整相机参数和物点坐标，使重投影误差取得最小值的优化过程，可用于三维重建-sba, a C/C++ package for generic sparse bundle adjustment is almost invariably used as the last step of every feature-based multiple view reconstruction vision algorithm to obtain optimal 3D structure and
svm
- SVM方法的基本思想是：定义最优线性超平面，并把寻找最优线性超平面的算法归结为求解一个凸规划问题。进而基于Mercer核展开定理，通过非线性映射φ，把样本空间映射到一个高维乃至于无穷维的特征空间（Hilbert空间），使在特征空间中可以应用线性学习机的方法解决样本空间中的高度非线性分类和回归等问题。svm 程序，即支持向量机的代码。-The basic idea of SVM method are: the definition of the optimal linear hyperplane,
Image_Feature_Selection_Method_Based_on_Immune_Enc
- 针对目标与背景两类图像模式识别问题,在已有的特征选择方法基础上,提出了一种新颖的基于免疫分子编码机理的图像特征选择方法(IACA). 该方法借鉴生物免疫系统的抗体分 子编码机理,在对样本进行参数估计情况下,提出熵度量单个特征对于目标和背景的识别敏感度 从集合的角度研究并且定义了特征之间的包含和互补关系 并且基于组成抗体分子氨基酸结合能量最小原则,提出了关于图像目标的免疫抗体构建规则 最终实现了寻找最优特征子集的算法IACA ,该特征子集的维数通过算法自动获得无需人为设定,选择结果为目标的“免
FeatureSelection_MachineLearning
- Feature selection methods for machine learning algorithms such as SVR, including one filter-based method (CFS) and two wrapper-based methods (GA and PSO). The gridsearch is for the grid search for the optimal hyperparemeters of SVR. The SVM_CV is for
KarhunenLoeve
- 数据降维算法 K_L变换是一种最优正交变换，以矢量信号X的协方差矩阵Ф的归一化正交特征矢量q所构成的正交矩阵Q，来对该矢量信号X做正交变换Y=QX，则称此变换为K-L变换（K-LT或KLT）。-Data reduction algorithm K_L optimal orthogonal transform is a transformation to vector signal covariance matrix Ф X normalized orthogonal feature vect
pca-matlab
- PCA又为主成分分析，是一种特征提取方法， 它通过线性变换寻找一组最优的单位正交向量基，用他们的线性组合来重构原样本-PCA and the main component analysis, a feature extraction method, which by finding a set of optimal linear transformation unit orthogonal base vectors, with their linear combination to recons
kdtree
- 在图像处理中，用最优节点优先法，建造kd树，用于特征点匹配-In the image processing, the optimal node with priority method, build kd tree, used for matching feature points
MIMO-IN-WIRELESS-COMMUNICATIONS-
- 本文基于MIMO检测中性能和复杂度的矛盾，结合具体的MIMO 检测技术进行深入研究，致力于提供能有效缓解性能和复杂度矛盾冲 突的技术方案。论文首先介绍MIMO系统的基本模型，随后针对球 译码(Sphere Decoding)检测及其相关技术、搜索空间预定义检测器 (Search Space Predetermined Detector，SSPD)算法、并行计算对检 测算法的加速作用以及自动重传机制(Automatic Retransmission reQuest，ARQ)
kdtree
- 特征点匹配时，采用构造KD-tree，用最优节点优先法寻找最佳匹配点-Matching feature points, the tectonic KD-tree, with the optimal node is preferred method to search for the optimal matching point
svmnuclass
- 带参数的二次规划支持向量分类机，核函数的用处。-least-square support vector machine classification problem matlab code，functional margin，geometric margin，optimal margin classifier，Kernels feature mapping Regularization and the non-separable case
hw1
- Abstract—Three-feature based automatic lane detection al- gorithm (TFALDA) is a new lane detection algorithm which is simple, robust, and efficient, thus suitable for real-time processing in cluttered road environments without a priori knowledg
WinWZ
- VB.NET 2010 读、写 ACCESS2010 含安装文件，界面舒服，含有查找功能，能快速筛选出需要的信息，另具有分组、排序、筛选、导航、自动最佳列宽，表格增有行号显示。-VB.NET 2010 to read to, write ACCESS2010 including installation file, comfortable interface, containing the Find feature to quickly filter out the information
meanshift
- Mean Shift是一种最优的寻找概率密度极大值的梯度上升方法，利用核概率密度描述目标的特征可以应用于目标跟踪技术，本程序实例即是基于Mean Shift原理进行目标跟踪，搜索目标位置。-Mean Shift is to find an optimal increase in the gradient of the probability density maxima nuclear probability density describing the target feature targe
5
- 了适应跟踪过程中目标光照条件的变化，并对目标特征进行在线更新，提出一种将局部二元模式(LBP) 特征与图像灰度信息相融合，同时结合增量线性判别分析对目标进行跟踪的算法．跟踪开始前，为了获得比较准确的目标描述，使用混合高斯模型和期望最大化算法对目标进行分割；跟踪过程中，通过蒙特卡罗方法对目标区域和背景区域进行采样，并更新特征空间参数．得到目标和背景的最优分类面；最后使用粒子滤波器结合最优分类面对目标状态进行预测．通过光照变化的仿真视频和自然场景视频的跟踪实验，验证了文中算法的有效性．-Trac
Fetal-ECG-Extraction-by-Extended-State-Kalman-Fil
- HSF processes the distorted image ˜ x by M filters chosen to improve the image quality for regions with different characteristics. At each pixel, a feature vector yn is computed using local image data. The feature vector is then used to determi
handbook
- Abstract—This paper presents a Viterbi-based test compression algorithm/architecture that provides high encoding efficiency and scalability with respect to the number of test channels. The proposed scheme finds a set of compressed test vectors
hyperspectral-4
- 这是一种基于最佳小波包基的高光谱影像特征制图算法，感兴趣的同学可以参考一下。-This is a kind of based on optimal wavelet BaoJi feature mapping algorithm of hyperspectral images, interested students can refer to it.