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preprocessing methods

Question Similarity in Community Question Answering: A Systematic Exploration of Preprocessing Methods and Models

Question Similarity in Community Question Answering: A Systematic Exploration of Preprocessing Methods and Models

... preprocessing methods. Filice et al. (2016) do not report on the preprocessing that they applied, and Charlet and Damnati (2017) lowercased the text as well as removed stopwords and punctu- ...3 ...

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A New Approach For Edge Extraction Using
Various Preprocessing Methods on
Skeletonization Technique

A New Approach For Edge Extraction Using Various Preprocessing Methods on Skeletonization Technique

... these preprocessing techniques are adopted to convert gray scale images into their respective binary ...which preprocessing methods leads in extraction of edge to the given ...

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Comparing different data preprocessing methods for monitoring soil heavy metals based on soil spectral features

Comparing different data preprocessing methods for monitoring soil heavy metals based on soil spectral features

... Reflectance spectroscopy measurement. Reflec- tance was measured in the 350–2500 nm wavelength range by a FieldSpec 3 spectroradiometer (Analytical Spectral Devices Inc., Colorado, USA) with a contact probe. The spectral ...

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Isolated and Ensemble Audio Preprocessing Methods for Detecting Adversarial Examples against Automatic Speech Recognition

Isolated and Ensemble Audio Preprocessing Methods for Detecting Adversarial Examples against Automatic Speech Recognition

... voting methods are relatively simple, as they simply examine the model’s discrete prediction of the raw and preprocessed inputs for each preprocessing ...voting methods above are indiscriminate and ...

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Big data preprocessing: methods and prospects

Big data preprocessing: methods and prospects

... discretization methods, since many real-world applications usually produce real valued ...ten methods considered as the top ten in data mining [37] need an external or embedded discretization of data: ...

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Image Preprocessing Methods Used in Meteorological Measurement of the Temperature Testing System

Image Preprocessing Methods Used in Meteorological Measurement of the Temperature Testing System

... The meteorological measurement automatic temperature testing system has a defec- tive image. To solve the problem such as noise and insufficient contrast, and put forward the research program for image pretreatment, the ...

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Comparison of Preprocessing Methods for Diabetic Retinopathy Detection using Fundus Images

Comparison of Preprocessing Methods for Diabetic Retinopathy Detection using Fundus Images

... [2] Sumathy B, Poornachandra S, “Feature Extraction In Retinal Fundus Images”, Information Communication And Embedded Systems (ICICES), 2013 International Conference On , vol., no., pp.798-802, 21-22 Feb. 2013 [3] Chen ...

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A Comprehensive Survey on Data Preprocessing          Methods in Web Usage Minning

A Comprehensive Survey on Data Preprocessing Methods in Web Usage Minning

... file, preprocessing is considered as an essential step in web usage ...HTTP Methods and Random files a quality data can be retrieved from the log ...

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Preprocessing differential methylation hybridization microarray data

Preprocessing differential methylation hybridization microarray data

... different preprocessing methods as described are implemented using the LIMMA package [4] of Bioconductor ...normalization methods, we use the quantile regression method [34], which identifies ...

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Multi lingual Dependency Parsing at NAIST

Multi lingual Dependency Parsing at NAIST

... some preprocessing methods that are useful in our preceding work for Chinese depend- ency analysis, but these methods, except one, can- not be used in multi-lingual dependency ...

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Application of Extended Multiplicative Signal Correction to Short Wavelength near Infrared Spectra of Moisture in Marzipan

Application of Extended Multiplicative Signal Correction to Short Wavelength near Infrared Spectra of Moisture in Marzipan

... different preprocessing methods shows that the new, extended MSC, or be, the Extended Multi- plicative Signal Correction—EMSC methods provide the best overall performance in terms of prediction ...

5

Ensembles of First Order Logical Decision Trees for Imbalanced Classification Problems

Ensembles of First Order Logical Decision Trees for Imbalanced Classification Problems

... Data preprocessing methods (Sampling process) method aims to balance class distribution through the random elimination of majority class examples and then Splitting decision tree algorithms generate ...

5

Are Cry Studies Replicable? An Analysis of Participants, Procedures, and Methods Adopted and Reported in Studies of Infant Cries

Are Cry Studies Replicable? An Analysis of Participants, Procedures, and Methods Adopted and Reported in Studies of Infant Cries

... the methods and data analysis sections of their papers, researchers are consistent in reporting the software and hardware used in their work (even though the software version or hardware version was reported only ...

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A Survey Report on Text Classification with Different Term Weighing Methods and Comparison between Classification Algorithms

A Survey Report on Text Classification with Different Term Weighing Methods and Comparison between Classification Algorithms

... The document has to be changed from the full text to a document vector. The most commonly used Document representation is called vector space model here documents are represented by vectors of words. Usually, one has a ...

5

Classification of Marble Using Image Processing

Classification of Marble Using Image Processing

... Dataset preparation is the main procedure for collecting datasets of all the marble class varieties. For this work varieties of marble have been collected from Saba marble factory. In the existing practice experts used ...

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DESIGN AND ANALYSIS OF HASH FUNCTIONS

DESIGN AND ANALYSIS OF HASH FUNCTIONS

... three methods dealt: 1) Generating a collision resistant hash function using a new message preprocessing method called reverse ...two methods can be considered as modifications which are presented in ...

96

“0” and “O” Recognition Based on Deep Learning

“0” and “O” Recognition Based on Deep Learning

... The core problem of identifying 0-O by deep learning training can be summarized, firstly, as about the sample quantity: the industrially acquired original images are 500 in number, which is rather small. For the training ...

8

Prediction of Edible oil Iodine Values Based on Raman and near Infrared Spectroscopy

Prediction of Edible oil Iodine Values Based on Raman and near Infrared Spectroscopy

... As depicted in Table 1, the Raman-based SVR models can successfully predict the iodine value. The correlation coefficients R of the prediction and calibration sets are above 90%. Among all the CARS-SVR models, the R ...

5

An Enhanced Methods of Preprocessing in Web Log Mining

An Enhanced Methods of Preprocessing in Web Log Mining

... As mentioned above, applying the filtration method of Frame page can effectively eliminate the influence of Frame page on the log mining. However, the records of web log mining are very large. The filtering algorithm of ...

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Feature visualization and classification for the discrimination between individuals with Parkinson’s disease under levodopa and DBS treatments

Feature visualization and classification for the discrimination between individuals with Parkinson’s disease under levodopa and DBS treatments

... ablative methods are now largely reserved for patients with contraindications to implantable hardware and in patients who live in countries with limited economic resources ...

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