figure scatter(mappedX(:,1), mappedX(:,2), 5, labels(mapping.conn_comp)) title('Result of Laplacian Eigenmaps') drawnow % Isomap降维 [mappedX, mapping] = compute_mapping(X, 'Isomap', no_dims); figure scatter(mappedX(:,1), mappedX(:,2), 5, labels(mapping.conn_comp)) title('R...
x = reshape(result_img,[r*c b]); x = compute_mapping(x,'PCA',1); % 对原图进行PCA降维 guidance = reshape(x, r, c)/255; % 获得引导图像 result_img = double(result_img)/255; r = 5; % 滤波半径 eps = 0.005; % 滤波正则化参数 for i = 1:3 result_img_GD(:,:,i) = guide...
Matlab SVC代码 function[predict_label,accuracy]=SVC(train_label,train_data,test_label,test_data,Method_option) %Method_option.plotOriginal=0or1 %Method_option.scale=0or1 %Method_option.plotScale=0or1 %Method_option.pca=0or1 %Method_option.type=1[grid]or2[ga]or3[pso] % %===output=...
For the overloaded subsasgn function, numel is used to compute the number of expected inputs (nargin) to be assigned using subsasgn. The nargin value for the overloaded subsasgn function is the value returned by numel plus 2 (one for the variable being assigned to, and one for the stru 31...
% To compute the output given the input using the matrix W and BIW=net_0630.IW{1,1};B1=...
% compute, select & normalize eigenvalues [V, D] = eig(cov([M1(:) M2(:)])); if (D(1,1) > D(2,2)) a = V(:,1)./sum(V(:,1)); else a = V(:,2)./sum(V(:,2)); end; % and fuse Y = a(1)*M1+a(2)*M2; ...
When a valid loop candidate is found, useestgeotform3dto compute the relative pose between the loop candidate frame and the current key frame. The relative pose represents a 3-D similarity transformation stored in ansimtform3dobject. Then add the loop connection with the relative pose and ...
MATLAB and Simulink provide prebuilt algorithms and sensor models for building object detection, mapping, and localization applications. Simulate IMU/GPS sensor readings to design fusion and localization algorithms to estimate the UAV pose. Use deep learning and machine learning to develop algorithms for...
Create a vector v and compute the z-score, normalizing the data to have mean 0 and standard deviation 1. v = 1:5; N = normalize(v) Create a matrix B and compute the z-score for each column. Then, normalize each row. B = magic(3) ...
在机器人领域,尺度地图常用于定位于地图构建(Mapping)、定位(Localization)和同时定位与地图构建(Simultaneous Localization And Mapping,SLAM),拓扑地图常用于路径规划(Path Planning),而语义地图常用于人机交互(Human Robot Interaction)。用机器人传感器数据绘制尺度地图的难点在于传感器数据有噪声,用激光传感器检测前方障碍物...