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[PDF] Top 20 A cascade of deep learning fuzzy rule based image classifier and SVM

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A cascade of deep learning fuzzy rule based image classifier and SVM

A cascade of deep learning fuzzy rule based image classifier and SVM

... DLFRB classifier is able to perform highly accurate classification on the handwriting digits in the majority cases by following the “winner takes all” ...single image at the same ...DLFRB classifier ... See full document

6

Healthy and Asthmatic Sounds Classification using Fuzzy Clustering based Cascade Classifier Methods

Healthy and Asthmatic Sounds Classification using Fuzzy Clustering based Cascade Classifier Methods

... Machine learning is about learning to predict from samples of target behaviors or past observations of ...Machine learning algorithms are divided as supervised and unsupervised learning ... See full document

7

Cascade of classifier ensembles for reliable medical image classification

Cascade of classifier ensembles for reliable medical image classification

... one-class SVM to identify the outlier data as representative of the second class with the standard Reuters 1 ...their SVM methods was quite sensitive to the choice of representation and ... See full document

138

Analyzing Behavior of Cancer Patients using Machine Learning Techniques

Analyzing Behavior of Cancer Patients using Machine Learning Techniques

... AI based analytical framework called PRIME (Patient Reported Information Multidimensional Exploration) in order to support the social media empowered ...machine learning (ML) through OSG (online support ... See full document

10

A Massively Parallel Deep Rule Based Ensemble Classifier for Remote Sensing Scenes

A Massively Parallel Deep Rule Based Ensemble Classifier for Remote Sensing Scenes

... approach based on the ensemble of the recently introduced deep (fuzzy) rule-based (DRB) classifiers [11], [12] is proposed for remote sensing scene ...DRB classifier employs a ... See full document

5

Deep rule based classifier with human level performance and characteristics

Deep rule based classifier with human level performance and characteristics

... Nowadays, deep learning has gained a lot of popularity in both the academic circles and the general public thanks to the very quick advance in computational resources (both hardware and software) [20], ... See full document

23

Wavelet Based Classification of Multispectral Satellite Image Using Fuzzy Incorporated Hierarchical Clustering With SVM Classifier

Wavelet Based Classification of Multispectral Satellite Image Using Fuzzy Incorporated Hierarchical Clustering With SVM Classifier

... satellite image classification. The earlier day maximum likelihood classifier is used for classification ...remotely-sensed image classification application. Support vector machines (SVM) is a ... See full document

6

Deep-cascade: Cascading 3D Deep Neural Networks for Fast Anomaly Detection and Localization in Crowded Scenes

Deep-cascade: Cascading 3D Deep Neural Networks for Fast Anomaly Detection and Localization in Crowded Scenes

... feature learning. Recently, deep learning provides state-of-the-art results for various tasks in computer vision such as for image classification [2], object detection [3], or activity ... See full document

8

Survey on Remotely Sensed Image Classification Techniques using Support Vector Machines and Swarm Intelligence

Survey on Remotely Sensed Image Classification Techniques using Support Vector Machines and Swarm Intelligence

... the fuzzy approaches together with ...the SVM in reducing the effect of outliers and noises in data points and is suitable for applications, in which data points have unmodeled ...statistical ... See full document

5

Image Edge Detection by Using Rule Based Fuzzy
                      Classifier

Image Edge Detection by Using Rule Based Fuzzy Classifier

... include Fuzzy Sets, Artificial Neural Networks (ANN), Genetic Algorithm (GA), Ant Colony Optimization (ACO) and Gravitational Search Algorithm ...of fuzzy logic based image processing using ... See full document

6

Application of Radial Basis Function Network   for Content Based Image Retrieval

Application of Radial Basis Function Network for Content Based Image Retrieval

... An image database from MIT Media Laboratories [17] is used for the simulation. Out of 2000 images, 500 images are selected and manually grouped and properly labeled in to 5 classes. This set of 500 images is used ... See full document

5

Forecasting one-day-forward wellness conditions for community-dwelling elderly with single lead short electrocardiogram signals

Forecasting one-day-forward wellness conditions for community-dwelling elderly with single lead short electrocardiogram signals

... Classification performance enhancement with the EWMA It is well known for us that noises can greatly reduce the performance of forecasting models. It is necessary to utilize a filter to remove noises from ECG signals, ... See full document

14

A Deep Rule based Approach for Satellite Scene Image Analysis

A Deep Rule based Approach for Satellite Scene Image Analysis

... introduced deep rule-based image classification ...order fuzzy IF- THEN rules with human-interpretable prototypes identified from the training images and a pre-trained deep ... See full document

6

Ear Pattern Recognition and Compression using SURF and SVM

Ear Pattern Recognition and Compression using SURF and SVM

... Image restoration processes consist of a collection of techniques. With the increasing demands of visual surveillance systems, human identification at a distance has recently gained more interest. Ear is a ... See full document

8

Research on iris image encryption based on deep learning

Research on iris image encryption based on deep learning

... traditional image encryption algorithm cannot resist the attack of mali- cious key sharing and ...corresponding image encryption algorithm to realize the information ...Iris image encryption has ... See full document

10

Towards the automation of early-stage human embryo development detection

Towards the automation of early-stage human embryo development detection

... Infertility is a growing problem worldwide. According to the World Health Organiza- tion, one in every six couples has issues leading to infertility problems. It has been noted that the global in vitro fertilisation ... See full document

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													Analysis of knn and svm classifier for image classification

1. Analysis of knn and svm classifier for image classification

... proper image. Insisted of matching the whole content of an image one should match the selected features of an image with the features of an image present in the ...an image that is at ... See full document

5

Construction of a specific SVM classifier and identification of molecular markers for lung adenocarcinoma based on lncRNA-miRNA-mRNA network

Construction of a specific SVM classifier and identification of molecular markers for lung adenocarcinoma based on lncRNA-miRNA-mRNA network

... the SVM classifier SVM constructed with these 44 feature genes could accurately classify samples in both TCGA training data and GSE10072 and GSE43458 vali- dation ... See full document

12

Classification of MRI Brain Image using SVM Classifier

Classification of MRI Brain Image using SVM Classifier

... One of the most common forms of dimensionality reduction is PCA (principal components analysis).Principal component analysis (PCA) is appropriate when we have obtained measures on a number of observed variables and wish ... See full document

5

Performance Analysis of SVM Classifier for Classification of MRI Image

Performance Analysis of SVM Classifier for Classification of MRI Image

... of image method has exhibited monumental progress over past few ...So image quality measuring plays a serious role in several image-processing ...applications. Image quality, for scientific ... See full document

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