Search - voting matlab

[AI-NN-PR] 1

Description: 单层感知器简单实验，用以实现多人表决系统-Single-layer perceptron simple experiment, to achieve more than voting system
Platform: | Size: 241664 | Author: dfdf | Hits:

Description: 提出了一种基于特征点的全自动无缝图像拼接方法。该方法采用对于尺度具有鲁棒性的SIFT算法进行特征点的提取与匹配，并通过引导互匹配及投票过滤的方法提高特征点的匹配精确度，使用稳健的RANSAC算法求出图像间变换矩阵H的初值并使用LM非线性迭代算法精炼H，最终使用加权平滑算法完成了图像的无缝拼接。-Based on feature points of automatic seamless image mosaic method. The method used for the scale robust algorithm SIFT feature point extraction and matching, and guide each other through the match and voting methods of filtering feature point improve matching accuracy, the use of robust RANSAC algorithm between images obtained transformation matrix H the initial value and use the LM non-linear iterative algorithm refining H, end-use-weighted smoothing algorithm to complete the image of the seamless splicing.
Platform: | Size: 151552 | Author: 小兔兔牙 | Hits:

[Special Effects] biye

Description: 基于投票算法的目标跟踪,基于二阶非线性投票的多目标跟踪算法。该算法通过目标匹配得到同一目标在不同帧中的位置，同时利用特征监测来处理目标的遮挡、分裂问题，并实现目标特征的实时更新。在目标匹配过程中，通过对目标前一帧与当前帧的特征相似性进行投票，得到匹配目标。利用视频图像进行实验，结果表明：该方法对噪声、阴影、遮挡、分裂等具有良好的鲁棒性，较好地实现了多目标的跟踪。-The method used object matching to get objects’ position in different frames, and used feature monitoring to deal with object occlusion, object split and implement real-time update for objects features. Objects were matched based on the similarity voting of their features in successive frames. Experimental study had been carried out using image sequences captured in real scene. The experimental results show that the method is robust against noise, shadows, occlusion, and split and it performs multiple objects tracking finely.
Platform: | Size: 1024 | Author: 崔瑞芳 | Hits:

[AI-NN-PR] gyy

Description: 从因子分析的角度出发解决基因表达谱分析问题。为解决独立成分分析方法在求解过程中的不稳定性，提出一种基于选择性独立成分分析的DNA微阵列数据集成分类器。首先对基因表达水平的重构误差进行分析，选择部分重构误差较小的独立成分进行样本重构，然后基于重构后的样本同时训练多个支持向量机基分类器，最后选择部分分类正确率较高的基分类器进行最大投票以得到最终结果。在3个常用测试集上验证了本文设计方法的有效性。-This paper tries to deal with gene expression problem in view of factor analysis. In order to overcome the instability problem caused by performing independent component analysis, a DNA microarray data ensemble classifier based on selective independent component analysis is proposed. The reconstruction error of each gene is analyzed firstly and a part of independent components which contribute relatively small reconstruction errors are selected to reconstruct new samples. After that, several support vector machine base classifiers are trained simultaneously. Finally, the best base classifiers with high correct rates are selected to participate in the ensemble, using the majority voting method. Results on three publicly available microarray datasets show the feasibility and validity of the method proposed in this paper.
Platform: | Size: 1427456 | Author: cumtgyy | Hits:

[matlab] toolbox_tensor_voting

Description: 张量投票在matlab环境下的仿真。球型张量及棒型张量的仿真-Tensor voting in matlab simulation environment. Spherical and rod-type tensor tensor Simulation
Platform: | Size: 21504 | Author: misseli | Hits:

[Software Engineering] ImageProcessing-CircleDetection-RenatoSalas_final

Description: The present report outlines the design, implementation and performance of the application of Hough Transform (HT) to detect circles in arbitrary pictures. Detecting circles in arbitrary pictures involves a two step process in this project. First, edges within the image have to be detected then, by means of a voting mechanism the most probable circles will be located. Edge detection goal is to look for boundary locations that naturally happen between objects. Objects normally have continuous intensity values therefore sudden changes in that pattern might indicate a boundary condition. Changes of intensity in one direction can be calculated by the gradient operator however, noise can alter meaningful edges. Convolution is then normally applied to account for a small amount of smoothing, thus reducing noise.-The present report outlines the design, implementation and performance of the application of Hough Transform (HT) to detect circles in arbitrary pictures. Detecting circles in arbitrary pictures involves a two step process in this project. First, edges within the image have to be detected then, by means of a voting mechanism the most probable circles will be located. Edge detection goal is to look for boundary locations that naturally happen between objects. Objects normally have continuous intensity values therefore sudden changes in that pattern might indicate a boundary condition. Changes of intensity in one direction can be calculated by the gradient operator however, noise can alter meaningful edges. Convolution is then normally applied to account for a small amount of smoothing, thus reducing noise.
Platform: | Size: 1107968 | Author: donna | Hits:

[matlab] voting

Description: Voting simulation in Matlab
Platform: | Size: 23552 | Author: sundar | Hits:

[2D Graphic] HOUGH_METHOD_LOCATICATION

Description: 使用HOUGH变换的方法进行虹膜定位，比传统道哥曼投票的方法具有更快的速度-HOUGH Transform method using the iris position,faster than the traditional voting method Gorman Road
Platform: | Size: 8192 | Author: DZ | Hits:

[matlab] TVF

Description: 根据Medioni的张量投票理论，用matlab实现二维图像的重构。-According Medioni s tensor voting theory, with the realization of two-dimensional image reconstruction of matlab.
Platform: | Size: 19456 | Author: 黄锦芳 | Hits:

[matlab] Ensemble

Description: 用adaboost算法生成基支持向量机分类器，并对识别结果进行简单投票法集成。附有支持向量机工具箱和adaboost算法流程说明。-Adaboost algorithm to generate the base with a support vector machine classifier, and the recognition result is a simple voting method integration. With support vector machine algorithm toolbox and adaboost process description.
Platform: | Size: 1642496 | Author: 李娜 | Hits:

[matlab] vp_code_Gabor

Description: 这个代码能够比较精确地实现图像中道路区域的分割与提取。-This code addresses this question by decomposing the road detection process into two steps: the estimation of the vanishing point associated with the main (straight) part of the road, followed by the segmentation of the corresponding road area based upon the detected vanishing point. The main technical contributions of the proposed approach are a novel adaptive soft voting scheme based upon a local voting region using high-confidence voters, whose texture orientations are computed using Gabor filters, and a new vanishing-point-constrained edge detection technique for detecting road boundaries.
Platform: | Size: 4096 | Author: 邵文 | Hits:

[Special Effects] src

Description: Real-time line detection through an improved Hough transform voting scheme 的matlab实现-Implement of Real-time line detection through an improved Hough transform voting scheme
Platform: | Size: 1211392 | Author: zj | Hits:

[matlab] voting-algorithm

Description: this a voting algorithm MATLAB codes for fault tolerant systems. file consist of five m-files that fours of them runs from testmaj m-file. inxmaj m-file is a function for inexact majority algorithm, inxplu is a function for inexact plurality algorithm, wa is a function for weighted average algorithm and med is a function for med-value selector-this is a voting algorithm MATLAB codes for fault tolerant systems. file consist of five m-files that fours of them runs from testmaj m-file. inxmaj m-file is a function for inexact majority algorithm, inxplu is a function for inexact plurality algorithm, wa is a function for weighted average algorithm and med is a function for med-value selector
Platform: | Size: 1024 | Author: yaser | Hits:

[matlab] E_vote_Code

Description: This demo program about electronic voting. This base on elgamal agorythm. It can work well in Matlab 2012.-This is demo program about electronic voting. This base on elgamal agorythm. It can work well in Matlab 2012.
Platform: | Size: 164864 | Author: huy | Hits:

[Other] toolbox_tensor_voting

Description: tensor voting matlab 实现-tensor voting matlab achieve
Platform: | Size: 20480 | Author: 戴立根 | Hits:

[matlab] jsantarc-Majority-Vote-function-for-Matlab--d0869

Description: This function performs majority voting for an input , ie. Counts the elements of a 1D array and outputs the value with the most occurrences. The input can be an array , ‘char’ or ‘cell’. Just a note if your input is an array the function will work with non-integer values
Platform: | Size: 2048 | Author: md adil | Hits:

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