Search Results - (( using selection method algorithm ) OR ( shape classification using algorithm ))
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1
A Novel Aggregate Classification Technique Using Moment Invariants and Cascaded Multilayered Perceptron Network
Published 2009“…This article discusses a novel method for automatic classification of aggregate shapes using moment invariants and artificial neural networks. …”
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2
Automated plant classification system using a hybrid of shape and color features of the leaf
Published 2016“…The experimental results and comparisons indicate the efficiency of the proposed automated alignment algorithm and the proposed Quartile Features. The results of using the final selected features have shown an impressive performance, achieving an average accuracy rate of 98.32% for Flavia dataset and 91.29% for Leaves dataset, using k-fold cross-validation.…”
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3
Edge detection and contour segmentation for fruit classification in natural environment / Khairul Adilah Ahmad
Published 2018“…Experimental results show that the developed methods and model are able to classify the Harumanis quality with accuracy of 79% using fuzzy classification based on shape and size.…”
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4
Extremal region detection and selection with fuzzy encoding for food recognition
Published 2019“…The second algorithm reduces the quantity of interest regions by using the Extremal Region Selection (ERS) algorithm. …”
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5
Modified archive update mechanism of multi-objective particle swarm optimization in fuzzy classification and clustering
Published 2022“…Evolutionary algorithms have been extensively used to resolve problems associated with multiple and often conflicting objectives. …”
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6
Improvement on rooftop classification of worldview-3 imagery using object-based image analysis
Published 2019“…The accuracy of each algorithm was evaluated using LibSVM, Bayes network, and Adaboost classifier. …”
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7
Fair bandwidth distribution marking and scheduling algorithm in network traffic classification
Published 2019“…Thus, proposing the method of reestimating the dropping functions in the RED algorithm. …”
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8
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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9
A preliminary study on automated freshwater algae recognition and classification system / Hayat Mansoor Abdullah
Published 2012“…The results indicated that MLP is sufficient, and optimal enough to be used for classification of the selected freshwater algae. …”
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10
Detection of corneal arcus using rubber sheet and machine learning methods
Published 2019“…The classification algorithms such as the Lavenberg-Marquardt (LM), Bayesian regularization (BR), scaled conjugate gradient (SCG) and one model of bag-of-features (BoF) are used in this research. …”
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11
On some methods of feature engineering useful for craniodental morphometrics of rats, shrews and kangaroos / Aneesha Pillay Balachandran Pillay
Published 2024“…The results showed that the RFE-selected features were able to improve the classification accuracy of the machine learning algorithms. …”
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12
An image-based children age range verification and classification based on facial features angle distribution and face shape elliptical ratio
Published 2017“…The classification and verification algorithm was based on face shape elliptical ratio and facial features angle distribution. …”
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13
Heuristic optimization-based wave kernel descriptor for deformable 3D shape matching and retrieval
Published 2018“…This paper presents an optimized wave kernel signature (OWKS) using a modified particle swarm optimization (MPSO) algorithm. …”
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14
Heuristic optimization-based wave kernel descriptor for deformable 3D shape matching and retrieval
Published 2018“…This paper presents an optimized wave kernel signature (OWKS) using a modified particle swarm optimization (MPSO) algorithm. …”
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15
A direct ensemble classifier for learning imbalanced multiclass data
Published 2013“…Thus, an ensemble of classifiers is one of the methods used to solve multiclass classification tasks. …”
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16
Data‑driven audiogram classifer using data normalization and multi‑stage feature selection
Published 2023“…The reason for the better performance is the use of multi-stage feature selection to describe the audiograms precisely. …”
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17
Development of sorting system for oil palm in vitro shoots using machine vision approach
Published 2014“…Region-based features, namely area, centroid, aspect ratio, extent and two cropping points have been represented in the shape of OPTC in vitro shoots. By using k-means algorithm the extracted features have been evaluated. …”
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18
Behavior Recognition In Video Surveillance System For Indoor Public Areas Using Artificial Immune System
Published 2008“…The improvement was achieved by simplifying the previous algorithm without applying mathematical or probabilistically formulas and selects the effective filters to create a clearer foreground pixel map. …”
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19
Feature Selection and Ensemble Meta Classifier for Multiclass Imbalance Data Learning
Published 2018“…The aim of this paper is to investigate the effects of combining feature selection and ensemble classifiers on the prediction performance in addressing the multiclass imbalance data learning .This research uses data obtained from the Malaysian medicinal leaf images shape data and three other large benchmark data sets in which six ensemble methods from Weka machine learning tool were selected to perform the classification task.These ensemble methods include the AdaboostM1, Bagging, Decorate, END, MultiboostAB, and Rotation Forest.In addition, five base classifiers were used; Naïve Bayes, SMO, J48, Random Forest, and Random Tree in order to examine the performance of the ensemble methods. …”
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20
Image-based Ananas Comosus detection and counting using artificial neural network / Wan Nurazwin Syazwani Rahimi
Published 2021“…Then, the top view of the pineapple's crown images was pre-processed, segmented and performed via feature extraction process by shape, colour and texture features before classifying it as fruit or non-fruit using the ANN counting algorithm. …”
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