Classification method
Chinese Painting Classification Method Based on PCA
... This paper presents a new automatic classification method of Chinese painting. Firstly, the image of the country is pretreated, which mainly includes smoothing filter and region extraction and connecting ...
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Classification of uterine EMG signals using supervised classification method
... and classification are first applied on simulated signals to test the limits and performance of the used ...the classification of the contractions using supervised classification ...supervised ...
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A Classification Method for Inland Navigable and Substandard Waterways
... the classification of ...a classification method is proposed which can classify waterways into navigable and substandard areas based on C 2 R model of data envelopment analysis ...proposed ...
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A robust ensemble classification method analysis
... data classification method, based on diversified multiple ...new method contains features that, (1) make most use of the information from the abundant genes in the Mi- croarray data, and (2) use a ...
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A Quick Classification Method of the Power Quality Disturbances
... quick classification method of the power quality ...proposed classification method, a PQ monitor of the classifying power quality disturbances is developed based on the TMS320F2812 DSP ...
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A classification method for neurogenic heterotopic ossification of the hip
... Brooker classification [1], all patients/hips were classified as class III or IV, which corresponds to hip ankylosis; however, only 7 patients/14 hips presented clinical or imaging evidence of ankylosis (Table ...
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A neural classification method for supporting the creation of BioVerbNet
... classes, their original members from Korhonen et al. [15] and the new candidates to be reviewed (Table 3); (2) an Excel spreadsheet for recording the updated index of the class for each verb based on the manual revision ...
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A Survey on Various Incomplete Pattern Classification Method
... case classification systems and verification speculation thoughts in data ...some classification frameworks are excessively costly, making it impossible to realize ...credal classification ...
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A selective ensemble classification method on microarray data
... effective method of ensemble learning and is one of the simplest methods of arching ...for classification and is usually applied to decision tree models, but it can be used with any type of model for ...
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Bagging Based Ensemble Classification Method on Imbalance Datasets
... a classification tree and the aggregate process or the majority vote for the classification case and the average for regression ...ensemble method commonly applied to classification cases, ...
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ROBUST EXTRACTION AND CLASSIFICATION METHOD FOR GURMUKHI SCRIPTS
... Preprocessing is applied on the input binary document so that the effect of spurious noise can be minimized in the subsequent processing stages. In the present study, both salt and pepper noise have been removed using ...
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PubMedCentral-PMC5310887.pdf
... In many applications, it is desirable to develop classifiers that use the smallest possible num- ber of genes. For example, one may wish to use an RT-PCR assay to discriminate between dif- ferent types of tumors or to ...
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Evaluation of LISS-III Sensor Data of IRS-P6 Satellite for Detection Saline Soils (Case Study: Najmabad Region)
... in classification using satellite imagery data classes should be more than ...likelihood classification method is so maximum likelihood algorithm could separate salinity soils from non-salinity ...
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Adding Redundant Features for CRFs based Sentence Sentiment Classification
... sentiment classification problem in the sentence ...sentiment classification as a sequence labeling problem and use conditional random field (CRFs) model to capture the relation between two adjacent ...
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A Survey on Decision Tree Algorithm for Classification
... intelligence. Classification and prediction are the techniques used to make out important data classes and predict probable trend ...important classification method in data mining ...
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Statistical methodology for tab charts : data reduction techniques in laser ablation analyses
... The calculation of mean and standard deviation error over background or plateau after the intuitive method, classification method or classification rules is applied to the tab-chart... T[r] ...
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ngLOC: software and web server for predicting protein subcellular localization in prokaryotes and eukaryotes
... ngLOC method is a Bayesian classification method that was developed to predict the subcellular localization of new protein sequence ...This method is capable of predicting the localization of ...
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Evaluating the Extraction Approaches of Flood Extended Area by Using ALOS 2/PALSAR 2 Images as a Rapid Response to Flood Disaster
... backscattering method displayed the flooding as one unit ...supervised method, especially in the top of the study ...supervised classification, the area that was wet due to the rain was identified as ...
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Methods of Shoreline Demarcation and Validation using Remote Sensing and GIS
... suitable method for shoreline ...Isodata classification, band ratio, density slicing, and mahalanobis distance classification ...threshold method was applied in 4 ...
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A Physiologically Inspired Method for Audio Classification
... We explore the use of physiologically inspired auditory features with both physiologically motivated and statistical audio classifi- cation methods. We use features derived from a biophysically defensible model of the ...
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