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Features of the evaluation method

Towards real-time heartbeat classification : evaluation of nonlinear morphological features and voting method

Towards real-time heartbeat classification : evaluation of nonlinear morphological features and voting method

... the features based on various power spectrum density ...optimum features to enhance the classification ...selected features are fed to the various standard machine learning ...representation ...

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Evaluation of Features on Sentimental Analysis

Evaluation of Features on Sentimental Analysis

... new method which extracts the sentiments of micro ...a method which combines supervised learning that is capable of extracting, learning and classifying tweets with opinion ...the features in the ...

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An Orientation Method with Prediction and Anticipation Features

An Orientation Method with Prediction and Anticipation Features

... Abstract Nowadays, progress is constant and inherent to a living society. This may occur in different arenas, namely in mathematical evaluation and healthcare. Assistive technologies are a topic under this ...

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Digital imaging of colon tissue: method for evaluation of inflammation severity by spatial frequency features of the histological images

Digital imaging of colon tissue: method for evaluation of inflammation severity by spatial frequency features of the histological images

... visual evaluation of histological preparations of colon tissue describe ex- pert scoring schemes enabling to classify severity of inflammation into several grades [8, 10, ...evaluated features within cases ...

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Investigating Retrieval Method Selection with Axiomatic Features

Investigating Retrieval Method Selection with Axiomatic Features

... meta-learning method to improve retrieval performance by predicting how to combine the scores from two different re- trieval ...empirical evaluation on TREC Web Track data, we found that these meta-learning ...

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Evaluation of stereovision for extracting plant features

Evaluation of stereovision for extracting plant features

... Disparity/depth images as shown in figure 4 have some of missed parts, our developed algorithm fills Those missing parts with interpolated depth values and produced a modified disparity images. The modified disparity ...

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Bread features evaluation by NIR analysis

Bread features evaluation by NIR analysis

... An overview of the rheological parameters is given in Table 1. Technological properties of wheat fermented dough during maturation and oven rising (first stage of baking) were evaluated by maturograph and OTG (Brabender, ...

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A METHOD FOR COLOR IMAGE SEGMENTATION USING LOCAL FEATURES

A METHOD FOR COLOR IMAGE SEGMENTATION USING LOCAL FEATURES

... The process of LBP code evaluation is a two-step process. In step one the gray level value of the centre pixel is compared with the neighboring pixels gray level value and based on their sign of grey level value ...

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Hepatocellular Carcinoma: Clinical Features, Evaluation and Treatment

Hepatocellular Carcinoma: Clinical Features, Evaluation and Treatment

... Imaging modalities Any hepatic mass in a patient with chronic hepatitis or cirrhosis must be considered malignant and differentiated from a benign lesion. A numberof imaging modalities are used to detect HCC. ...

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STRUCTURAL FEATURES OF GEM MINERALS AND IDENTIFICATION AND EVALUATION

STRUCTURAL FEATURES OF GEM MINERALS AND IDENTIFICATION AND EVALUATION

... and evaluation of its structural features have also been paid attention ...detection method, infrared spectroscopy and X-ray powder diffraction ...
An efficient method of cast shadow removal using multiple features

An efficient method of cast shadow removal using multiple features

... proposed method, when applied to frame 291 of the S3_T7_A sequence, gives a slightly higher FAR value than those obtained by using [2] and [7], since, as seen from the right image in Figure 5(f), there are some ...

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Effective Method of Feature Selection on Features Possessing Group Structure

Effective Method of Feature Selection on Features Possessing Group Structure

... IV. E XPERIMENT We have shown the effectiveness of our method in this section. We have performed the experiment on datasets to determine the effectiveness of our procedure the datasets are taken from UCI machine ...

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Evaluation of data mining features, features taxonomies and their applications

Evaluation of data mining features, features taxonomies and their applications

... effective features applied in those ...of features for different case studies in order to classification or ...of features and their applications in opinion ...of features exploited in variety ...

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An Ensemble Method with Sentiment Features and Clustering Support

An Ensemble Method with Sentiment Features and Clustering Support

... our method of combining feature vectors 3-layer NN outper- forms the individual methods: LSTM, CNN, and ...semble method with clustering support outper- forms the current state of the art method on ...

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FEATURES OF USE OF PROFILING TECHNOLOGY AS IDENTIFICATION METHOD

FEATURES OF USE OF PROFILING TECHNOLOGY AS IDENTIFICATION METHOD

... • mixed type - addiction to both crimes against society and violent crimes [2]. G. Gross can be considered the first profiler in the modern sense of the word. He pointed to the possibility of understanding the identity ...
Syntactic Features for Evaluation of Machine Translation

Syntactic Features for Evaluation of Machine Translation

... corpus-level evaluation of a MT system, the sparse data problem will be less serious than in the sentence-level evalu- ation, since the overlapping n-grams of all the sen- tences and their references will be ...

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VERTa: Linguistic features in MT evaluation

VERTa: Linguistic features in MT evaluation

... linguistic features from a linguistic point of ...linguistic features at lexical, morphological, syntactic and semantic ...linguistic features in order to improve the metric ...

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An Automatic Method for Summary Evaluation Using Multiple Evaluation Results by a Manual Method

An Automatic Method for Summary Evaluation Using Multiple Evaluation Results by a Manual Method

... use evaluation tools or programs, are low cost, although these methods cannot evaluate summaries as accurately as manual ...automatic evaluation method that can reduce the errors of traditional ...

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THE AFFECTED SIB METHOD. I. STATISTICAL FEATURES OF THE AFFECTED SIB-PAIR METHOD

THE AFFECTED SIB METHOD. I. STATISTICAL FEATURES OF THE AFFECTED SIB-PAIR METHOD

... Pro- vided the number of families with three or more affected sibs is sufficiently small compared to the number of families with two affected sibs, the analysis o[r] ...

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SOFTWARE USABILITY EVALUATION METHOD

SOFTWARE USABILITY EVALUATION METHOD

... Prof Ajay Rana Computer Science Amity University Noida, India We have also tried to include the usability engineering phase in the SDLC (Software Development Life Cycle) to improve the performance of software. Although ...

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