Search Results - (( using vector method algorithm ) OR ( automatic classification based algorithm ))
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1
A comparison of support vector machine and decision tree classifications using satellite data of Langkawi Island
Published 2009“…The classification using SVM method was implemented automatically by using four kernel types; linear, polynomial, radial basis function and sigmoid. …”
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2
Plant leaf recognition algorithm using ant colony-based feature extraction technique
Published 2013“…To do this, at first, based on the proposed algorithm,the physiological dimensions of leaves are automatically measured and with regard to these parameters, specified features such as shape, morph, texture and colour are extracted from the image of the plant leaf through image processing to create a reserved feature database to be used for different species of plants. …”
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3
Automatic Segmentation and Classification of Skin Lesions in Dermoscopic Images
Published 2024“…The third proposed segmentation algorithm involves two pipelines for feature extraction: split & merge methods and Contextual Encoding Network (EncNet) with an attention mechanism. …”
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4
Object-based imagery analysis for automatic urban tree species detection using high resolution satellite image
Published 2016“…The method of maximum likelihood classification and support vector machines leads to the lowest classification accuracy since these algorithms extract only the spectral information of each pixel and consequently fail to utilize spatial, color and textural information.…”
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5
Vader lexicon and support vector machine algorithm to detect customer sentiment orientation
Published 2023“…To accomplish this, a dataset from the Amazon website will be analyzed and classified using the Support Vector Machine algorithm. The objective of this method is to determine the level of customer orientation present within the dataset. …”
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6
A new descriptor for smile classification based on cascade classifier in unconstrained scenarios
Published 2021“…We suggest a histogram-based cascade smile classification method utilizing different facial features. …”
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7
Quranic diacritic and character segmentation and recognition using flood fill and k-nearest neighbors algorithm
Published 2019“…The diacritic detections are performed using a region-based algorithm with 89% accuracy and 95% improved by using flood fill segmentations method. 2DMED feature extraction accuracy was 90% for diacritics and 96% improved by applied CNN. …”
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Fuzzy support vector machine based fall detection method for traumatic brain injuries: A new systematic approach of combining fuzzy logic with support vector machine to achieve hig...
Published 2022“…One of the most commonly used algorithms is Support Vector Machine (SVM). …”
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9
Lung cancer medical images classification using hybrid CNN-SVM
Published 2021“…This paper presents an image classification method based on the hybrid Convolutional Neural Network (CNN) algorithm and Support Vector Machine (SVM). …”
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10
Multinomial logistic regression probability ratio-based feature vectors for Malay vowel recognition
Published 2021“…FELT algorithm transforms 39-MFCC FVs using logistic transformation method into FELT FVs. …”
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11
Towards Practical Face Recognition System Employing Row-Based Distance Method In 2dpca Based Algorithms
Published 2014“…As a solution to the above mentioned issues, four new distance methods have been proposed in this thesis, which are based on the rows of a feature matrix of 2DPCA-based algorithms. …”
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12
Application of slantlet transform based support vector machine for power quality detection and classification
Published 2015“…The feature vectors of the PQ disturbances are then applied to SVM for the classification process. …”
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13
Advances in automatic insect classification
Published 2014“…This paper details advances in insect recognition, discussing representative works from different types of method and classifiers algorithm. Among the method used in the previous research includes color histogram, edge detection and feature extraction (SIFT vector). …”
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14
Application Of Slantlet Transform Based Support Vector Machine For Power Quality Detection And Classification
Published 2015“…The feature vectors of the PQ disturbances are then applied to SVM for the classification process. …”
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15
Multi-sensor fusion based on multiple classifier systems for human activity identification
Published 2019“…To provide compact feature vector representation, we studied hybrid bio-inspired evolutionary search algorithm and correlation-based feature selection method and evaluate their impact on extracted feature vectors from individual sensor modality. …”
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Stage of maturity banana fruit classification using image processing / Nadia Kasim ... [et al.]
Published 2019“…This study attempted to propose a system that uses image processing to detect the maturity stage of banana based on its color and size using Support Vector Machine (SVM) learning algorithm. …”
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An intra-severity classification and adaptation technique to improve dysarthric speech recognition accuracy / Bassam Ali Qasem Al-Qatab
Published 2020“…The algorithms include Linear Discriminant Analysis (LDA), Artificial Neural Network (ANN), Support Vector Machine (SVM), Naive Bayes (NB), Classification And Regression Tree (CART), Random Forest (RF). …”
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A preliminary study on automated freshwater algae recognition and classification system / Hayat Mansoor Abdullah
Published 2012“…Then, Image segmentation applied by using canny edge detection algorithm with specific morphological operation to isolate the image objects components. …”
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19
Grain recognition based on colour and shape analysis
Published 2020“…Colour Moment and Wavelet Moment are computed as feature vectors and Support Vector Machine (SVM) algorithm is used to classify the grains based on the extracted features. …”
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Vision based entomology: a survey
Published 2014“…This paper details advances in insect recognition, discussing representative works from different types of method and classifiers algorithm. Among the method used in the previous research includes color histogram, edge detection and feature extraction (SIFT vector). …”
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