Classification methods
CLASSIFICATION TREES: ALTERNATIVE SOLUTION TO CLASSIFICATION METHODS OF LINEAR DISCRIMINANT ANALYSIS
... parametric classification methods, classifi- cation trees is a nonparametric classification methods that can be used as an alternative ...LDA. Classification trees is one of the popular ...
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isprs archives XLI B7 235 2016
... based classification method. While pixel based classification methods are based on the information in each pixel, object based classification method is based on objects or image objects that ...
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isprsarchives XXXIX B8 539 2012
... usually, classification is carried out only for shallow ...different classification methods such as: Neural Networks, and rapid classification via down ...pixel-based methods that had ...
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isprsarchives XXXVIII 3 W22 203 2011
... for classification in urban areas, where classification methods can be extended to include parameters derived from waveform ...two classification methods tested are: supervised Bayes ...
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isprsarchives XL 1 W5 343 2015
... pixel-based classification methods, ...subpixel classification accuracy ...traditional classification methods, commission error defines the percentage of those pixels that have been ...
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isprs annals IV 1 W1 183 2017
... vised classification methods (Khatami et ...learning methods are employed and seek to differentiate discrete labels, corresponding in practice to the different land- cover ...on classification ...
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isprs archives XLI B8 1055 2016
... compare classification accuracies of land cover/use maps created from Sentinel-2 and Landsat-8 ...supervised classification methods were applied to both data sets to accurately identify eight ...
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isprs archives XLI B7 451 2016
... contextual-based methods which can achieve precise object recognition (Bellens et ...These methods which are based on the low-level features are unable to capture the complex semantic concepts of different ...
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isprsarchives XL 2 W1 179 2013
... The classification and distill of remote sensing image is the primary information source for GIS in LUCC ...of classification is an important content of remote sensing ...new classification ...
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isprs annals III 7 67 2016
... soft classification methods and sub-pixel mapping methods for the classification of coastal areas in sub- pixel ...soft classification, LSU model, FFC and the SVM methods are ...
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isprs archives XLI B7 153 2016
... extraction methods, many descriptors and detectors were available, such as Harris, Binary Robust Invariant Scalable Keypoints (BRISK), Fast Retina Keypoint (FREAK), Binary Robust Independent Elementary Features ...
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Learning Apache Mahout Classification by Ashish Gupta
... starting or root node since all the information is available there. Later on, with each split, data is less and towards the end of the tree, a particular node can show patterns that are related to the set of data which ...
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isprs archives XLI B7 161 2016
... cover/use classification and a discussion about the application of this type of data in land cover/use mapping has recently ...cover/use classification where six classes were distinguished: water, sand and ...
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isprsarchives XXXVIII 4 W19 309 2011
... ML classification based on the Fisher ...supervised classification results (SVM, ML based on a Gaussian pdf, Complex Wishart ML ...The classification result from Fisher ML criterion, although it does ...
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A Comparison of Text Methods kNN, Naïve Bayes, and Support Vector Machine for News | Fanny | Jurnal Informatika: Jurnal Pengembangan IT 1 PB
... popular methods of text classification: k-Nearest Neighbor, Naïve Bayes, and Support Vector Machine in News Categorization to classify the category of news in English using several pre-processing texts that ...
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isprsarchives XXXIX B7 311 2012
... The classification results indicate that there is some confusion between certain classes, particularly where there are segments that contain more than one ...
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Parts Surface Structure Image Classification Detection System Design
... machining methods were designed texture image classification system, through contrast experiment of image preprocessing, feature extraction and neural network design and other aspects in the design process, ...
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Luwak Coffee Classification Using UV-Vis Spectroscopy Data: Comparison of Linear Discriminant Analysis and Support Vector Machine Methods
... Linear discriminant analysis (LDA) is a classical statistical approach for feature extraction and dimension reduction and mostly employed among many supervised pattern recognition methods (Chen et al., 2011; Jia ...
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isprs annals IV 2 W2 39 2017
... In line to previous mentioned, new possibilities for improvements of control tools to support preventive conservation practices in World Heritage Sites have been showed. The selected case study illustrates the potentials ...
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The Selection of Methods 2015
... three classification methods were ...different classification methods can give different result of category; however, this research concluded that the If-then method became the most ...
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