robust feature extraction method
Robust Feature Extraction to Utterance Fluctuation of Articulation Disorders Based on Random Projection
... a robust feature extraction method based on PCA (Principal Com- ponent Analysis) and RP (Random Projection) for dysarthric speech ...PCA-based feature extraction performs re- ...
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Hybrid Feature Extraction Method for Partial Face Recognition
... local feature extraction methods the most successful algorithms include Scale Invariant Feature Transform (SIFT), Gabor Wavelet Feature ...be robust against local distortions caused by ...
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Computational methods using weighed-extreme learning machine to predict protein self-interactions with protein evolutionary information
... and feature extraction ...as feature extraction methods and to employ the robust WELM ...texture feature, the candidate self-interacting proteins can be represented by exploring ...
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ROBUST EXTRACTION AND CLASSIFICATION METHOD FOR GURMUKHI SCRIPTS
... called feature form of 0’s and 1’s that characterizes the essential information content of the ...features. Feature extraction describes the relevant shape information contained in a pattern so that ...
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Vanishing Moments of a Wavelet System and Feature Set in Face Detection Problem for Color Images
... Feature extraction is a vital step in pattern ...a robust feature set is very much ...efficient feature extraction method. Feature extraction is the ...
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ROBUST WATERMARKING OF GRAYSCALE IMAGES USING FEATURE EXTRACTION AND DWT
... A robust blind watermarking is proposed which provides a complete algorithm that embeds and extracts the watermark information ...proposed method, a watermark pattern is constructed from host image itself ...
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Outlier ensembles: A robust method for damage detection and unsupervised feature extraction from high-dimensional data
... inform feature selection is a critical issue for practical applications of SHM, despite regular use in the ...utilise robust statistics [2, 15–18] look to account for, and expose, inclusive outliers; these ...
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Integrated Phoneme Subspace Method for Speech Feature Extraction
... Speech feature extraction has been a key focus in robust speech recognition ...linear feature transformations applied to feature vectors in the logarithmic mel-frequency filter bank ...
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Lane Marking Detection in Various Lighting Conditions using Robust Feature Extraction
... information method, Canny or Sobel filters are used to detect the lane ...model method, this method manages to detect the line in different lighting conditions such as sunset or cloudy environments ...
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INVESTIGATION OF SPEECH DISFLUENCIES CLASSIFICATION ON DIFFERENT THRESHOLD SELECTION TECHNIQUES USING ENERGY FEATURE EXTRACTION
... and robust energy feature extraction for modelling filled pause and elongation by investigating different energy features using local maxima points of the speech ...energy. Method: In this ...
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Maize Leaf Disease Image Classification Using Bag of Features
... Bag-of- Feature consisting of 4 stages: divide image with grid method, feature extraction using Speeded-Up Robust Features (SURF), clustering word visual vocabulary by using k-Means and ...
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Feature extraction for robust physical activity recognition
... normalization method and considering all sensors, the system accuracy goes to ...evaluation method was random-partitioning and, based on the results pre- sented in “Evaluation method”, the baseline ...
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SPECTRUM INVESTIGATION FOR SHARING ANALYSIS BETWEEN BWA SYSTEM AND FSS RECEIVER
... auto-correlogram method as color feature extraction method and Gray Level Co-occurrence Matrix (GLCM) method as texture feature extraction ...a robust ...
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NEURO FUZZY MODEL FOR FACE RECOGNITION WITH CURVELET BASED FEATURE IMAGE
... A facial recognition system is a computer application for automatically identifying or verifying a person from a digital image or a video frame from a video source. One of the ways to do this is by comparing selected ...
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Identification of Leaf using DWT and SVM Classifier
... segmentation, feature extraction and ...For feature extraction phase the color and texture features are derived from an trained SVM to knowledge base and SVM classifier will classifies the ...
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Fuzzy C-mean Clustering Using Randomized Dimensionality Reduction
... Number of applications includes clustering such as in science as well as in engineering. Additionally, clustering implemented in bioinformatics as well as medication to the sociologies and internet. Most popular ...
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Locker system: development of intelligent surveillance using secure One Time Password and face recognition
... Present day locker systems are not highly secured. In order to overcome the various security issues proposed a locker system using latest technologies like IoT (Internet of Things) coupled with Facial recognition system ...
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Automatic Segmentation of Brain Tissues in Functional MRI
... temporal feature extractor for the proposed method because it had the second highest classification rate, and its performance was very similar to the best classifier in this experiment (deep ...
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Analysis of Handwritten Hindi Character Recognition using Advanced Feature Extraction Technique and Back propagation Neural Network
... and feature extraction for later processing to improve recognition ...accuracy. Feature extractor is essential for efficient data representation and extracting meaningful features for further ...
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Survey on Universal Image Steganalysis
... Abstract— Ooverwhelming growth in communication technology and usage of internet has greatly facilitated transfer of data. The threat of unauthorized data access is increasing along with it. Since last decade, too many ...
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