SVM Multi-Class Algorithms
Power Quality Disturbance Classification Method Based on Wavelet Transform and SVM Multi class Algorithms
... using SVM multi-class ...the SVM multi-class algorithms, which use the Gaussian radial basis function, exponential radial basis function, and hyperbolic tangent function ...
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Classification of Anthurium flower cultivars based on combination of PCA, LDA and SVM classifier
... and SVM were applied for data reduction, feature extraction, and classification, ...suitable multi-class SVM classifier features, as it is possible to increase the classification accuracy up ...
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A Multi-class SVM Classifier Utilizing Binary Decision Tree
... where multi-class problems are mapped to 3-class problems is proposed by Angulo and Catal’a ...two class values with target values +1 and −1, and additionally, samples of all other classes are ...
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A robust SVM classification framework using PSM for multi-class recognition
... PSM is an effective approach for alleviating the trou- ble of collecting large amounts of training samples. By carrying out a large number of experiments, we found that SURF is the most suitable feature descriptor for ...
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Cognitive-Affective Emotion Classification: Comparing Features Extraction Algorithm Classified by Multi-class Support Vector Machine
... Two algorithms, Principal Component Analysis (PCA) and Gabor Features, were employed to generate two set of facial features extracted from a single ...using Multi-class Support Vector Machine ...
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Multi Class Confidence Weighted Algorithms
... Batch algorithms include Maximum Entropy (de- fault configuration in McCallum (2002)) and sup- port vector machines (LibSVM (Chang & Lin, 2001) for one-against-one classification and multi- class ...
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Classification and Grading Rice Using Multi-Class SVM
... the SVM model, while the independent test set was used to test the model ...one-against-one multi-class support vector machine with kernel of RBF was trained by the transformed training pattern ...
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Research on Intrusion Detection Algorithm Based on Multi Class SVM in Wireless Sensor Networks
... A multi-class method is proposed based on Error Correcting Output Codes algorithm in order to get better performance of attack recognition in Wireless Sensor ...the multi-class method is ...
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Approach Multiclass SVM Utilizing Genetic Algorithms
... large class of machine learning tasks [19,20] such as categorization, prediction, novelty detection, ranking and ...The SVM was originally developed for binary problems, and its extension to ...
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A Unified View on Multi-class Support Vector Classification
... doing multi-category classification based on arbitrary binary learning machines by combining hypotheses from independently trained binary ...on multi-class extensions of SVMs that aim at gen- ...
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Research on the Detection of Network Intrusion Prevention With Svm Based Optimization Algorithm
... In SVM, penalty factor C and nuclear parameter r has a great impact on the final allocation performance. In order to be able to get optimal values of C and r , the whale optimization algorithm (WOA) [13] was used ...
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Liver Patient Classification Using Intelligent Techniques
... Random forests are an ensemble learning method for classification (and regression) that operate by constructing a multitude of decision trees at training time and outputting the class that is the mode of the ...
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Geometric Intuition and Algorithms for Ev--SVM
... A number of interesting extensions to this work, which would require further research efforts, are possible. While the RapMinos method finds a solution efficiently and we provide some empirical evidence on it being a ...
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A Hybrid Approach Based on Higher Order Spectra for Clinical Recognition of Seizure and Epilepsy Using Brain Activity
... corresponding class to which an indepen- dent feature ...to multi-class problems, using different output coding meth- ods such as Minimum Output Codes (MOC), Error Cor- recting Output Codes (ECOC), ...
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Textures and Intensity Histogram Based Retinal Image Classification System Using Hybrid Colour Structure Descriptor
... , multi class image classification approach using Color image hybrid structure descriptor and pair of RBF kernel based SVM has been ...for multi class retinal image ...with SVM ...
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Active Learning to Recognize Multiple Types of Plankton
... trained SVM. When the class dis- tribution becomes skewed, the decision function of a SVM will vary ...the SVM) implicitly incorporates the unequal prior ...
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Unconstrained Character Classification For Off Line Handwritten Devanagari Script Using Multi Class Model For SVM
... Abstract: Hindi script is being used in various languages, for instance Marathi, Rajasthan, Sanskrit, and Nepali and it is also the script of Devanagari. It is observed that errors in classification mainly due to complex ...
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Multi-Output Least Square Support Vector Machine for the Reconstruction of Perfect Electric Conductor Below Rough Surface
... Table 3 summarizes the performances of the multi-output LS- SVM with different noise levels. From Table 3, it can be seen that with growing noise, for both xp and h, although the relative errors are ...
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Entropy-based feature extraction for electromagnetic discharges classification in high-voltage power generation
... equipment. Multi-class classification algorithms are used to classify or distinguish between various discharge sources such as Partial Discharges (PD), Exciter, Arcing, micro Sparking and Random ...
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3D facial expression recognition using maximum relevance minimum redundancy geometrical features
... remained unsolved by 2D modalities. With the current advancement in 3D technology, which leads to faster and cheaper 3D acquiring equipment, many 3D facial expres- sion databases have emerged. The BU-3DFE database of ...
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