feature vector component extraction
PCA Based Handwritten Character Recognition System Using Support Vector Machine & Neural Network
... character. Feature extraction is a very important part in character recognition ...Extracted feature has been applied to classifiers which recognized character based on trained ...described ...
7
Automated Vehicle Identification System based on Discrete Curvelet Transform for Visual Surveillance and Traffic Monitoring System
... Support Vector Machine for nighttime detection and classification of vehicles has been mentioned by Thi et ...based feature extraction face ...facial feature extraction using discrete ...
6
E Commerce Product Classification using Lexical Based Hybrid Feature Extraction and SVM
... hybrid feature extraction method PCA (Principle Component Analysis) and t-SNE (t-Distributed Stochastic Neighbor Embedding ) with SVM (Support Vector Machine) using lexicon-based method to ...
7
B cell and T cell Leukemia Classification using Genetic Algorithm, PCA, SVM and ANN
... the extraction of relevant genes remains an important ...namely, feature extraction, feature selection and ...Principle component analysis(PCA) is used for feature ...
6
Consistent performance measurement of a system to detect masses in mammograms based on blind feature extraction
... on feature extraction and classification of regions of interest (previously extracted from the DDSM database, in our ...the feature extractor, which is based in blind feature extraction ...
16
Text Categorization Optimization By A Hybrid Approach Using Multiple Feature Selection And Feature Extraction Methods
... the feature space due to a large number of terms. Some feature extractions have been successfully used in text categorization such as principal component analysis, latent semantic indexing, ...
5
COMPARATIVE ANALYSIS OF FACE, IRIS AND FINGERPRINT RECOGNITION SYSTEMS
... the extraction of unique characteristics which can represent an ...of feature extraction is to bring out a set of features which can maximize the recognition rate with the least number of ...based ...
8
Fingerprint Based Gender Classification Using 2D Discrete Wavelet Transforms and Principal Component Analysis
... The fingerprint image undergoes discrete wavelet transformation for obtaining the feature vector. Wavelets have been used frequently in image processing and used for feature extraction, ...
5
A Comparative Study on using Principle Component Analysis with different Text Classifiers
... principle component analysis (PCA) as a fea- ture extraction technique to reduce the high dimensionality of the feature ...the feature vector and thereby improve the perfor- mance of ...
6
Automated Glaucoma Detection Using Support Vector Machine Classification Method
... Principal Component Analysis (PCA) method for feature extraction and Support Vector Machine (SVM) method for image classification are used in the proposed ...
12
FEATURE EXTRACTION TECHNIQUES USING SUPPORT VECTOR MACHINES IN DISEASE PREDICTION
... reduced feature set helps to improve the efficiency of the results produced by the ...In feature selection, there is a set of features and a method is used to select a subset of features that can perform ...
8
Telescopic Vector Composition and Polar Accumulated Motion Residuals for Feature Extraction in Arabic Sign Language Recognition
... Although used in over 21 countries covering a large geo- graphical and demographical portion of the world, Arabic sign language (ArSL) has received little attention in sign language recognition research. To date, only ...
10
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 ...
8
A Novel Scheme to Classify EHG Signal for Term and Pre term Pregnancy Analysis
... A crucial part of the EHG processing consists of transforming the information acquired from the signals into a small number of components which represent the uterine activity. Traditional Fourier transform methods (Fast ...
5
Detection and Segmentation of Brain Lesion using Feature vector Extraction in MRI
... estimation, feature extraction and final lesion classification to make the parameter setting of proposed method insensitive to the different-size brains and different-resolution images ...
6
SOLVING ECONOMIC DISPATCH PROBLEM USING PARTICLE SWARM OPTIMIZATION BY AN EVOLUTIONARY TECHNIQUE FOR INITIALIZING PARTICLES
... With the rapid development and large-scale popularization of the Internet technology, the data of information society showed explosive growth. Search engine technologies developed fast and rapidly in this background. ...
6
Twitter Sentiment Analysis Using Support Vector Machine and K-NN Classifiers
... Abstract— At the present time, social media has become an important popular communication medium among all online suffers. Twitter is one of the most popular social networking services where thoughts and opinions about ...
5
Fundus Image Classification Using Two Dimensional Linear Discriminant Analysis and Support Vector Machine
... using feature extraction and classification of Support Vector ...the feature extraction of Gray Level Co- occurrence Matrix (GLCM) and classification using Support Vector Machine ...
6
Audio forensics: a voice identification investigation
... The aim of this research project is to define the process and accuracy of Discrete Wavelet Transform algorithm as feature extraction and vector quantitation as fe[r] ...
23
A novel hybrid of genetic algorithm and ANN for developing a high efficient method for vocal fold pathology diagnosis
... There are about 40% of features having P values close to 0, and 60% of features having P values smaller than 0.05 means that there are about 83 features among the original 139 features which have strong discrimination ...
11