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[Otherlsvm

Description: 支持向量机方法,用matlab实现,用于分类检测、模式识别,人脸检测等-Support Vector Machine method, the realization of Matlab for the detection and classification, pattern recognition, face detection
Platform: | Size: 2125 | Author: 韩乐 | Hits:

[Other resourcelsvm

Description: LSVM Langrangian Support Vector Machine algorithm
Platform: | Size: 2197 | Author: hj | Hits:

[Special Effectslsvm

Description: LSVM Langrangian Support Vector Machine algorithm LSVM solves a support vector machine problem using an iterative algorithm inspired by an augmented Lagrangian formulation.
Platform: | Size: 2122 | Author: 西晃云 | Hits:

[Other resourcelsvm

Description: 用matlab编写的源程序,作用是对线性svm分类器参数C的最佳值选择,以此更好的对数据集进行训练和预测。
Platform: | Size: 2120 | Author: 刘娟 | Hits:

[Otherlsvm

Description: 支持向量机方法,用matlab实现,用于分类检测、模式识别,人脸检测等-Support Vector Machine method, the realization of Matlab for the detection and classification, pattern recognition, face detection
Platform: | Size: 2048 | Author: 韩乐 | Hits:

[AI-NN-PRlsvm

Description: LSVM Langrangian Support Vector Machine algorithm
Platform: | Size: 2048 | Author: hj | Hits:

[Special Effectslsvm

Description: LSVM Langrangian Support Vector Machine algorithm LSVM solves a support vector machine problem using an iterative algorithm inspired by an augmented Lagrangian formulation.
Platform: | Size: 2048 | Author: 西晃云 | Hits:

[AI-NN-PRlsvm

Description: 用matlab编写的源程序,作用是对线性svm分类器参数C的最佳值选择,以此更好的对数据集进行训练和预测。-Prepared using matlab source code, the role is a linear SVM classifier parameters C the best value choice to better data sets for training and forecasting.
Platform: | Size: 2048 | Author: 刘娟 | Hits:

[AI-NN-PRlsvm

Description: 支持向量机做模式识别的程序,调试通过,希望对朋友们有用-Support Vector Machine to do pattern recognition procedures, debugging through the hope of useful friends
Platform: | Size: 2048 | Author: liyan | Hits:

[AI-NN-PRLSVM

Description: LSVM 工具箱,现在在模式识别上已有广泛的应用-LSVM TOOLBOX
Platform: | Size: 233472 | Author: 芬兰的冰雪 | Hits:

[AI-NN-PRlsvm

Description: 用线性支持向量机,lsvm分类器实现分类,同时给出了实验结果。还画出了支持向量。-Support vector machines with linear, lsvm classifier achieved classification, while the experimental results. Also drawn the support vector.
Platform: | Size: 16384 | Author: becky | Hits:

[Industry researchLSVM

Description: 基于LSVM(Lagrangian Support Vector Machine)分类算法分析,设计了通用的银行个人信用特征数据-Based LSVM (Lagrangian Support Vector Machine) classification algorithm analysis, design of the common features of personal credit data bank
Platform: | Size: 252928 | Author: zhx | Hits:

[matlablsvm

Description: libarary of svm for classification
Platform: | Size: 2048 | Author: mina | Hits:

[matlabSVM

Description: LSVM : Langrangian Support Vector Machine algorithm LSVM solves a support vector machine problem using an iterative algorithm inspired by an augmented Lagrangian formulation
Platform: | Size: 2048 | Author: sonda | Hits:

[matlabLSVM

Description: 经典局域支持向量机(LSVM)算法,常用于预测领域。-Classic local support vector machine (LSVM) algorithm, commonly used in forecasting.
Platform: | Size: 3072 | Author: lifen | Hits:

[matlablsvm

Description: 支持向量机两类分类器的源码,可以实现;效果也还行。-support vector
Platform: | Size: 2048 | Author: 王杜娟 | Hits:

[Mathimatics-Numerical algorithmsObjectLocalization_Code

Description: 一个基于Felzenszwalb的latent svm的目标检测框架-This is an implementation of our object localization system as described in [1]. This system is an adaption of the object detection framework of Felzenszwalb et al. [2][3](http://people.cs.uchicago.edu/~pff/latent-release3/).
Platform: | Size: 223232 | Author: 白芸 | Hits:

[Otherlsvm-and-knn-elm

Description: lsvm and knn elm For training: elm_traing(TrainingData_File, Elm_Type, NumberofHiddenNeurons, ActivationFunction) OR: [TrainingTime, TrainingAccuracy] = elm_train(TrainingData_File, Elm_Type, NumberofHiddenNeurons, ActivationFunction) For testing/prediction: elm_predict(TestingData_File) OR: [TestingTime, TestingAccuracy] = elm_predict(TestingData_File) After training phase completed, the trained network model will be saved in ‘elm_model.mat’, which can be used for prediction by calling function elm_predict. The prediction output will be saved in ‘elm_output.mat’.-lsvm and knn elm For training: elm_traing(TrainingData_File, Elm_Type, NumberofHiddenNeurons, ActivationFunction) OR: [TrainingTime, TrainingAccuracy] = elm_train(TrainingData_File, Elm_Type, NumberofHiddenNeurons, ActivationFunction) For testing/prediction: elm_predict(TestingData_File) OR: [TestingTime, TestingAccuracy] = elm_predict(TestingData_File) After training phase completed, the trained network model will be saved in ‘elm_model.mat’, which can be used for prediction by calling function elm_predict. The prediction output will be saved in ‘elm_output.mat’.
Platform: | Size: 1558528 | Author: hahazhao | Hits:

[Otherlsvm

Description: lsvm -lsvm
Platform: | Size: 101376 | Author: esmail | Hits:

[matlablsvm

Description: 支持向量机的一种算法LSVM Langrangian Support Vector Machine algorithm LSVM solves a support vector machine problem using an iterative algorithm inspired by an augmented Lagrangian formulation.(LSVM Langrangian Support Vector Machine algorithm LSVM solves a support vector machine problem using an iterative algorithm inspired by an augmented Lagrangian formulation.)
Platform: | Size: 1024 | Author: yl777 | Hits:
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