Extracting Features
Extracting Features of Finger Bending Signal based on Parameter of Polynomial
... The research works proposed the integrals of polynomial regression equation produced by angle information as feature extraction. The combination of Gaussian filtering to lessen the overshoot to a step function and ...
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Extracting features from laser scanning point clouda
... The engineering study for the existing building is an activity, where the up-to-date high-tech laser scanners and equipment are used more and more frequently [11]. The corresponding methods are used for surveying ...
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A Survey on Classification of Power Quality Disturbances in a Power System
... are extracting features of different disturbance signals and then classifying the disturbances signals ...extract features from the disturbance signal, such as Fourier transform (FT), short-time ...
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Decision level ensemble method for classifying multi-media data
... stages: extracting features from multi-media subsets, modelling the subsets datasets, selecting models with different rules based on various criteria,and building heterogeneous ...
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Efficient Method for Video Summarization Using Support Vector Machine
... ABSTRACT : There is lot of scope for video summarization in large video collections with clusters of typical categories, according to categories if we perform video summarization it can produce high quality video ...
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A Survey on Lane Marking Techniques
... 1) extracting features to initialize lane markings such as edges , texture , colour, and frequency domain features 2) post processing the extracted features to remove outliers using techniques ...
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Feature Engineering in the NLI Shared Task 2013: Charles University Submission Report
... We compose a feature family as a group of pat- terns that are relevant for a particular task. The fea- tures are then extracted from the data according to them. Since we experiment with English texts writ- ten by ...
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Image Retrieval Using Features From Pre-Trained Deep CNN
... of extracting important features learnt by a pre-trained deep CNN model and use these representations for image retrieval ...for extracting important features and use these learnt ...
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Off-line Arabic Character-Based Writer Identification – a Survey
... 2) Types of Features in Image Processing: Features types are divided depending on the criteria it will be deal with. Feature extraction used widely in optical character recognition systems, which it ...
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Regression Model With Modified Linear Discriminant Analysis Features For Bimodal Emotion Recognition
... In 2017, Davood Gharavian et al. [1] have worked on emotion recognition using audio data and visual data. Here, the audio and visual systems have combined at feature and decision levels using stacked generalization ...
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New Method for Image Features Extracting Based on Enhanced Chain Code
... Image features are useful extractable attributes of images. Examples of image features are the histogram and the symmetry of a region of interest. Histograms are considered a low-level feature, while ...
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Optimized Features Extraction of IRIS Recognition by Using MADLA to Ensure Secure Authentication
... iris features selection by us- ing proposed Modified ADMM and Deep Learning Algorithm ...strong features identification of iris of the person with less time, better accuracy, im- proving performance in ...
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Extracting Power Transformer Vibration Features by a Time Scale Frequency Analysis Method
... Moreover, core and winding vibration resulting from core magnetostriction and electrodynamic forces will induce body vibration of transformer. As a result, vibra- tion signals from transformer tank have been widely used ...
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Comparison of Filtering Methods for Extracting Transient Facial Wrinkle Features
... in features datasets, but the Gabor method performed a slightly better than a Kirsch method in class ...wrinkle features produced by Gabor method give better data separation compared to Kirsch ...
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Artificial Intelligence based Bank Cheque Signature Verification System
... different features are extracted based on global and local parameters and while extracting local features they have used grid based approach and matrix is formed and then using centroid based method ...
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Unsupervised feature extraction with autoencoder : for the representation of parkinson´s disease patients
... To project from a high-dimensional space to a low-dimensional, one must determine the number of features that best represent the sample in supervised learning. In other words, it is necessary to define the number ...
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A Review on Surface Coatings on 316L Stainless Steel to Improve Biomedical Properties
... for extracting 18 color ...texture features were calculated from the Co-occurrence ...color features and texture features were ...texture features outperform the color feature based ...
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SPEAKER TRAIT CHARACTERIZATION IN WEB VIDEOS: UNITING SPEECH, LANGUAGE, AND FACIAL FEATURES
... In the emerging field of computational paralinguistics, speaker charac- terization according to a variety of traits (such as age, gender, height, personality, spoken language, nativeness, dialect, etc.) has received ...
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Industrial Water Pump Condition Monitoring by Using Time Signal Analysis and Fault Probability Distribution
... extracted features from these trained examples are the basic seeds of the proposed adaptive ...extracted features are tested on subjects such that number of lines is ...
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Extracting Statistical Graph Features for Accurate and Efficient Time Series Classification
... When validating these heuristics, we feed the features corre- sponding to each heuristic to an XGBoost classifier for 3-fold cross-validation and model selection. A set of hyper-parameters have been set for grid ...
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