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support vector machine method

Decision Support System To Monitoring Maternity Process Using Support Vector Machine Method

Decision Support System To Monitoring Maternity Process Using Support Vector Machine Method

... The process of determining maternitystatus is performed per indicator and all indicators. These indicators include: heart rate, contraction, cervical opening, temperature, urine volume and blood pressure. The number of ...

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Online Full Text

Online Full Text

... hybrid support vector machine method (SVM-hybrid) for protein remote homology detection that combines the support vector machine auto-cross covariance (SVM-ACC) and ...

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A Face Detection Method Based on Sliding Window and Support Vector Machine

A Face Detection Method Based on Sliding Window and Support Vector Machine

... [13].The support vector machine method is based on the VC dimension theory with statistical learning theory [14] and the principle of structural risk minimization ...the method of ...

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Classification of power disturbances using multilevel support vector Machine

Classification of power disturbances using multilevel support vector Machine

... wavelet-based support vector machine classifiers for power disturbance recognition and ...proposed method can reduce the quantity of extracted features of distorted signal without losing its ...

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Copy move  image classification  by  feature optimization with support  vector machine approach

Copy move image classification by feature optimization with support vector machine approach

... Reduction method). The new method decreases the computational complexity identified with time, cost and parallel increment the proficiency of the ...

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Forgery Detection of Spliced Images Using Machine Learning Classifiers and color Illumination

Forgery Detection of Spliced Images Using Machine Learning Classifiers and color Illumination

... every method manual interaction is ...forgery method for the detection of spliced images that makes use of machine learning classifiers where the decision is taken by ...detection method is ...

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Signature Recognition with Zernike Moment Method Using Support Vector Machine

Signature Recognition with Zernike Moment Method Using Support Vector Machine

... class support vector ...of Support Vector Machine and 1 is the amount of support vector and αiis the Lagrange multiplier for separate data ...

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Automated Glaucoma Detection Using Support Vector Machine Classification Method

Automated Glaucoma Detection Using Support Vector Machine Classification Method

... adaptive method computes several histograms, each corresponding to a distinct section of the image, and uses them to redistribute the lightness values of the ...

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Distributed Support Vector Machine Learning

Distributed Support Vector Machine Learning

... Support Vector Reduction (SVR) is a process that is run right after the SVM learning step is ...the support vector ...this method is the linear equality constraint [2]: ...

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Robust Tracking Via Feature Mapping Method and Support Vector Machine

Robust Tracking Via Feature Mapping Method and Support Vector Machine

... --------------------------------------------------------------------------------------------------------------------------------------------------------- Abstract: Visual tracking is a challenging process due to ...

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CLASSIFICATION OF ELECTROCARDIOGRAM SIGNALS WITH SUPPORT VECTOR MACHINE AND RELEVANCE VECTOR MACHINE

CLASSIFICATION OF ELECTROCARDIOGRAM SIGNALS WITH SUPPORT VECTOR MACHINE AND RELEVANCE VECTOR MACHINE

... classification, Support Vector Machine (SVM) and Relevance Vector Machine (RVM) are known to outperform classical supervised classification ...new method based on relevance ...

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Signal Classification Method Based on Support Vector Machine and High Order Cumulants

Signal Classification Method Based on Support Vector Machine and High Order Cumulants

... thods of multi-class classifier and method of parameter selection using cross-validation grid search to build ef- fective and robust SVM classifiers. We also use fourth and sixth cumulants of the received signals ...

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External Support Vector Machine Clustering

External Support Vector Machine Clustering

... if all labels are deemed correct, then no relabeling can be done. This situation allows for no correction of the initial hyperplane, and gives final clustering results that are random. When using this method, if ...

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Support Vector Machine   Reference Manual

Support Vector Machine Reference Manual

... chunking method implemented, posh chunk- ing and sporty chunking (out of respect to the Spice Girls) which follow the algorithms described in the papers [OFG97b] and [OFG97a] ...

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A Sampling Method Based on Gauss Kernel Learning and the Expanding Research

A Sampling Method Based on Gauss Kernel Learning and the Expanding Research

... by Support Vector Machine (SVM). The method first preprocesses the data by oversampling the minority class in kernel space, and then the pre-images of the synthetic samples are found based on ...

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CREDIT CARD TRANSACTION FRAUD DETECTION METHOD BASED ON SUPPORT VECTOR MACHINE

CREDIT CARD TRANSACTION FRAUD DETECTION METHOD BASED ON SUPPORT VECTOR MACHINE

... payment. To carry out fraudulent transactions in this kind of purchase, an attacker has to steal the credit card. If the cardholder does not realize the loss of card, it can[r] ...

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METHOD OF MECHANICAL FAULT RECOGNITION BASED ON HADAMARD ECC SUPPORT VECTOR MACHINE

METHOD OF MECHANICAL FAULT RECOGNITION BASED ON HADAMARD ECC SUPPORT VECTOR MACHINE

... OutputCode) method, namely the use of error correcting codes, one containing two elements of the N * L matrix (N is the number of categories L for two yards long), the classification problem is extended to multi ...

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A Consistent Information Criterion for Support Vector Machines in Diverging Model Spaces

A Consistent Information Criterion for Support Vector Machines in Diverging Model Spaces

... proposed support vector machine information criterion can be computed easily after fitting the SVM with computation cost much lower than resampling methods like ...proposed method in terms of ...

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Situation prediction of large-scale Internet of Things network security

Situation prediction of large-scale Internet of Things network security

... traditional support vector machine ...kernel support vector machine is obtained and the particle swarm optimization (PSO) method is used to optimize related ...the ...

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Efficient Method for Video Summarization Using Support Vector Machine

Efficient Method for Video Summarization Using Support Vector Machine

... segmentation method based on Markov random field to extract more accurate text ...values. Support vector machine (SVM) is used for text verification followed by traditional OCR ...detection ...

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