Object Based Feature Extraction
Feature extraction: Face detection techniques and 3D object recognition based on local feature extraction
... Human face detection is also a major scope in the field of research since there is no specific algorithm to detect faces from a given image. Also, the algorithms that exist are very much specific to the input that is ...
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Object Feature Extraction of Songket Image Using Chain Code Algorithm
... the feature of a motif found in a Songket image in order to make the object detectable and ...area based on the similarity in colors, which was continued with the binary process that aims to change ...
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IJEDR1803077 International Journal of Engineering Development and Research ( www.ijedr.org444
... Extracting feature is one of the important steps, for any ...technique object is detected. The feature is extracted by HOG algorithm which is nothing but histogram of oriented ...finally ...
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Object Detection And Tracking Using Instant Online Feature Extraction
... pixel based classification system which is integral to the idea of rapid detection in real ...trainable object detection ...Rectangle Feature : As shown in Figure 3-1, the value of a two rectangle ...
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ENHANCEMENT OF AES ALGORITHM BASED ON CHAOTIC MAPS AND SHIFT OPERATION FOR IMAGE ENCRYPTION
... segmentation, object identification, feature extraction, feature selection and ...of object in the case of a large number of object ...101 object recognition benchmark, ...
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Robost Video Object Segmentation and Feature Extraction Using Thresholding Technique
... salient object detection approach by exploiting the relationship between the saliency detection and the Markov absorption ...salient feature based segmentation will be based on contrast, ...
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Text feature extraction based on deep learning: a review
... CNN is one of the artificial neural networks, with its strong adaptability and good at mining data local charac- teristics. The weights of sharing network structure make it more similar to the biological neural networks, ...
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PLACEMENT AND SIZING OF DISTRIBUTED GENERATORS IN DISTRIBUTED NETWORK BASED ON LRIC AND LOAD GROWTH CONTROL
... more. Object detection is use to detect the main point of object in an ...Generally, object detection is divided into three ...of feature requiring for object recognition is examined ...
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OPINION FEATURE EXTRACTION VIA FEATURE BASED DOMAIN RELEVANCE
... opinion feature is defined as a object or entity on which users express their ...for feature extraction which are mainly classified as supervised approach and unsupervised ...vocabularies ...
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A Multiple Random Feature Extraction Algorithm for Image Object Tracking
... update based on the respective classifier scores in order to prevent the target model from being updated by oc- ...non-target object is relatively ...
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Object Tracking and Detection
... of object, which is to be track ...particular object, animal and human being ...pre-processing, Feature extraction, Gabor filtering and KNN Classifier for this object ...for ...
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DM L Based Feature Extraction and Classifier Ensemble for Object Recognition
... (DM-L) Based Feature Extraction and Classifier Ensemble system for object recognition in this ...is based on utilizing the learn- ing capabilities of advanced pre-trained CNN ...
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Object based Image Retrieval using Local Feature Extraction and Relevance Feedback
... The feature extraction step of a CBIR system is especially critical and, as described in [3], its corresponding methods can be divided into two main classes: (1) global feature based methods, ...
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Sentiment Analysis on IMDb Movie Reviews Using Hybrid Feature Extraction Method
... The reviews which need to be analyzed consist of words, numbers, and special symbols as its constituents. Consider the following review, “The great and underrated Marion Davies shows her stuff in this late (1928) silent ...
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Spatial and Spectral Nonparametric Linear Feature Extraction Method for Hyperspectral Image Classification
... Feature extraction (FE) or dimensionality re- duction (DR) plays quite an important role in the field of pattern ...recognition. Feature extraction aims to reduce the d imens iona lity of the ...
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A Novel Approach on Signal Biometric Identification System- Using the Fusion of Palmprint and Speech Signal
... extract feature for palmprint meanwhile Mel Frequency Cepstral Coefficients (MFCC) is used to extract features of speech ...calculated based on Equal Error Rate (EER) of the intended matchers for fusion, ...
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Vanishing Moments of a Wavelet System and Feature Set in Face Detection Problem for Color Images
... threshold feature extraction method, it is found that using wavelets with higher order vanishing moment of the same family resulted in steady change in the number of feature ...of feature ...
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Fault Detection and Diagnosis of Induction Machines based on Wavelet and Probabilistic Neural Network
... On-line monitoring and early detection of abnormalities in the motors will help avoid unexpected failures and reduce downtime frequency. Motivated by this industrial demand, several diagnosis approaches for the ...
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Harmful Mail Scanning and Spam Filtering Through Data Mining Approach
... In the study [1] Rambow et al. applied machine learning techniques for email summarization. In this study, RIPPER classifier is used for the resolve of sentences which should be included in a summary. Learning model use ...
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ADAPTIVE COLOR FILTER ARRAY INTERPOLATION ALGORITHM BASED ON HUE TRANSITION AND EDGE DIRECTION
... Image degradation occurs while acquisition because of so many reasons for example low illumination, noise, occlusion etc. Geometric distortion and radiometric degradations are also one of the widespread difficulties in ...
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