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Professor Lin Zhiren libSVM-mat-2.89-3

Need to do research using SVM friends. ... Can be used for machine learning algorithms and classification research, can be used for face recognition, facial recognition, and so on. SVM is a training machine learning algorithms that can be used to solve classification and regression problems ... ......
  Algorithm        C++     

SVM_alignment_0.7

This the implementation of structural SVM for training complex alignment models for protein sequence alignment, especially for homology modeling. The structural SVM algorithm can incorporate many relevant features like secondary structure, relative exposed surface area, profiles and their various in...
  Windows        C++     

Pyramid Bow+SVM

Images feature incorporates Dense Sift through the Bag of Words model of Word bags is described, with BoW after you describe the image, you can classify SVM training model. Here but the RBF kernel SVM, also defines a core: histogram intersection kernel, histogram, Ortho-nuclear. Experiment in the i...
  Image Processing        Matlab     

Boeing 747 flight simulation model for six degree of freedom space-simulink procedures. rar

The Boeing 747 space simulation model-simulink procedure. rar Boeing 747 space simulation model-simulink procedure. rar Boeing 747 space simulation model-simulink procedure. rar...
  Algorithm        Matlab     

SVM_classification training sample

Based on SVM (support vector machine in the machine learning) sample of classification training, training service model (model), model for test samples (test_sample) for prediction....
  Image Processing        C++     

LS-SVM, prediction of time series

On time series forecasting using lsSVM, code debugging, part a of the annex data, other data, depending on their situation. Code is divided into several modules, including reading data, model initialization, data normalization, cross-validation, model training, prediction and data normalization, equ...
  Matlab        Matlab     

Machine learning method of SVM training

SVM SVM (Support Vector Machine) as a training machine learning methods, relying on small sample learning guide Star model parameters extracted can be evenly distributed and stars a greatly reduced number of guide star catalog Vapnik et al in the years examined in the context of statistical lear...
  Matlab        Matlab     

SVM_matlab_image_processing

Support Vector Machine (SVM) was first heard in 1992, introduced by Boser, Guyon, and Vapnik in COLT-92. Support vector machines (SVMs) are a set of related supervised learning methods used for classification and regression. They belong to a family of generalized linear classifiers. In another te...
  Matlab        Matlab     

SVMPcaKnn procedures for data classification

SVM,Pca,Knn the classification procedure, there is a little data, results can be run directly, these three programs are independent, Visual classifier to compare three different results, users can also find their own data....
  Matlab        Matlab     

SVM classification code written using MATLAB

Based on MATLAB platform prepared by the SVM (support vector machine) source, can be used for feature extraction and classification of the data. SVM function that can modify the data type and parameter settings....
  Matlab        Matlab     

SVM_classification test samples

SVM based on support vector machine and implement SVM principle, classification of procedures, this program features is to predict the test samples belonging to category classification problems in image processing image processing....
  Image Processing        C++     

SVM Toolbox Matlab code

Traditional standard SVM SVM Matlab code for the method used to categorize, you can run directly in MATLAB, specific operations see http://www.matlabsky.com/thread-10313-1-1.HTML tutorial series, is governed mainly by support vector machines for classification of cases, needy students can download l...
  Matlab        Others     

Circulation information granulation source test data based on SVM

Application of SVM and information methods of particle size, gas concentration prediction. Program is a normalized method, a method is not normalized....
  Matlab        Matlab     

SVM prediction method on information granulation

Combining fuzzy information granulation method and SVM, to make predictions, respectively for the normalized normalized and no two approaches to, and is a dynamic real-time forecast!...
  Matlab        Matlab     

LibSVM (Taiwan Lin Zhiren) (c)

Windows,Linux environments, classification using MATLAB software, regression analysis, provide operational interface, without having to know the function of specific content, will be completed through the interface and c versions, running speed, high efficiency...
  Matlab        Matlab     

SVM code rainfall forecast

With three months to forecast rainfall in the three months, to implement rolling forecasts and five-year rainfall was tested and found higher accuracy, and can be used to predict the unknown year rainfall...
  Matlab        Matlab     

LSSVMlabv1_8_R2006a_R2009a matlab codes

LSSVMlabv1_8_R2006a_R2009a matlab codes...
  Matlab        Matlab     

Distributed MIMO OFDM wireless communication based on simulink simulation

MATLAB/simulink platform, designed and implemented a multiple input multiple output, orthogonal frequency division multiplexing without Health road line communication system-level simulation. For multiple-input multiple-output communication system simulation for hardware resource consumption are se...
  book        Matlab     

gabor SVM to implement the image restoration and reconstruction.

gabor_SVM matalb code to implement the image restoration and reconstruction. Energy characteristics of extraction of palmprint image using Gabor_Palm function, and will be the result of the block, calculate the mean and variance of each as a feature vector. The length of the feature vector for...
  Matlab        Matlab     

SVM classification

SVM classification generally used for two, this code uses the Lin Zhiren SVM Kit for data classification, using IRIS UCI dataset to test, to good effect....
  Matlab        Matlab     

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