Classification technique using SVM
Content based Structural Recognition for Image Classification using PSO Technique and SVM
... existing technique is being trained using SVM training and hence the accuracy is ...image classification, because it removes the effects caused by differences in sample size and accounts for ...
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Prediction Analysis Technique using Hybrid Clustering and SVM Classification
... a classification rule, where Naive Bayes and K-Nearest Neighbor methods are ...work, classification of soil into low, medium and high categories are finished by adopting data mining procedures keeping in ...
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SARM: An Approach for the Analysis of Association Rule using SVM Classification Technique
... V. C ONCLUSION SARM algorithm for mining association rules from real-world and large data sources are presented in this paper. From uses of SVM Classification it is possible that allows both categorical and ...
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The Hybrid Technique for Image Classification to Detect Gender and Age using ANN and SVM
... Abstract: These days look into has investigated to separating helper data from different biometric procedures, for example, fingerprints, confront, iris, palm, voice and so forth. This data contains a few highlights like ...
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SVM and ANN Based Classification of Plant Diseases Using Feature Reduction Technique
... for classification of leaf ...The classification of disease type is performed using k-NN and an adaptive Bayes classifier using Gaussian mixture ...The classification results observed ...
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An Approach Towards E-Learning Using SVM Classification Technique and Ranking Technique in Microblog Supported Classroom: A Survey
... tuple. Classification technique is capable of processing a wider variety of data than regression and is growing in ...popularity. Classification techniques like Decision tree classifiers, ...
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Classification of HRS using SVM
... learning technique is based on the data, its quantity and ...as classification, clustering, time series, temporal analysis, association and correlation analysis are various data mining techniques taken into ...
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SVM Based Classification Technique for Color Image Retrieval
... done using Block Truncation Coding with 8 color clumps and ...image classification accuracy is one of the research ...of classification is used in the proposed ...
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INDECISIVE CONDITION CLASSIFICATION USING SVM
... the classification replica previous. Classification method was developed as a significant constituent of machine learning algorithms in organize to mine rules and patterns from data that could be used for ...
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Classification of sex chromosomes using SVM classifier
... different Classification of Karyotyping is based on various parameters such as surface area or size, length, shape ...Automatic classification of chromosomes images based on a set of pictorial band pattern ...
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Classification of Cancer of The Lungs Using SVM and ANN
... AI classification techniques have been proven in helping doctors to facilitate their decision making ...by using classification techniques. This technique can also examine medical data in a ...
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Multiclass Brain Tumor Classification using SVM
... of SVM, like any other machine learning technique, involves two basic steps namely training and ...an SVM involves feeding known data to the SVM along with previously known decision values, ...
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An Improved Sentiment Classification using Lexicon into SVM
... to SVM approach, a machine learning techniques, to improve the accuracy of sentiment ...a technique to automatically create domain specific sentiment lexicons for this learning ...
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Web Image Classification Using Sift and SVM
... Examining images based on the colors they contain is one of the most widely used techniques because it does not depend on image size or orientation. Color searches will usually involve comparing color histograms, though ...
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A Spam Filtering Technique using SVM Light Tool
... samples. SVM has proved to be one of the most efficient kernel ...algorithms, SVM leads to good performances without the need to incorporate prior ...the SVM can be interpreted as an embedding of the ...
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Classification and Grading Rice Using Multi-Class SVM
... ice is grown in many regions across India. India is the second leading producer of rice in the entire world, preceded only by China. In Southeast Asia alone, rice is staple food for 80% of the population. As countries ...
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Feature Extraction and Classification using Wavelet SVM Methodology
... The area of the R-wave has been recognized by utilizing wavelet transform. C. R-Peaks Detection The discovery of R-peak is the initial step of feature extraction. For this reason, we utilized DWT because of its capacity ...
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Fake Currency Detection using Clustering and SVM Classification
... The proposed technique consists of decomposing original images of 256 gray levels into their equivalent 8 binary images. This is useful in analyzing the relative importance contributed by each bit of the original ...
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Classification of Cancer of the Lungs using ANN and SVM Algorithms
... AI classification techniques have been proven in helping doctors to facilitate their decision making ...by using classification techniques. This technique can also examine medical data in a ...
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Review: Sentiment Analysis using SVM Classification Approach
... presented technique used characteristics study and the Adaptable Framework for Artificial Neural Networks (AAN2) for quality-integrated Twitter SA ...The technique explained drawbacks related with the ...
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