Search Results - subtraction fuzzy clustering algorithm

Fuzzy Neural Network Algorithm Application in User Behavior Portrait Construction by Song, Peisen, Yu, Bengcheng, Chen, Chen

“… network through subtraction clustering. Finally, the improved algorithm is applied to the construction of user behavior profiles…”
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Dissociating functional brain networks by decoding the between-subject variability by Seghier, Mohamed L., Price, Cathy J.

“… the sensory, cognitive and motor components) can be segregated without cognitive subtractions at the second-level…”
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A novel background updation algorithm using fuzzy c-means clustering for pedestrian detection by Malireddi, Harshitha, Parwani, Kiran, Rajitha, B

“… For this firstly, a background frame is initialized where no moving object is present. Then a background subtraction algorithm is applied to each of the key frames from the live video to detect the foreground objects…”
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Multi Information Fusion Diagnosis Method for Diesel Engine Based on Optimized ANFIS by Han, Yuting, Fei, Jingzhou, Wang, Zhongwei

“…A novel diagnosis method based on optimized subtraction clustering ANFIS (adaptive neural fuzzy inference system…”
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Background Subtraction for Dynamic Texture Scenes Using Fuzzy Color Histograms by Wonjun Kim, Kim, Changick

“… In this letter, we introduce a novel background subtraction algorithm for temporally dynamic texture scenes…”
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Change Detection in Synthetic Aperture Radar Images based on Image Fusion and Fuzzy Clustering by Gong, Maoguo, Zhou, Zhiqiang, Ma, Jingjing

“…) images based on an image fusion strategy and a novel fuzzy clustering algorithm. The image fusion technique is introduced to generate a difference image by using complementary information from a mean-ratio image and a log-ratio image…”
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Research on Neural Network Model Based on Subtraction Clustering and Its Applications by Tie-jun, Zhang, Duo, Chen, Jie, Sun

“…This paper takes advantage of the integration of subtraction clustering and fuzzy c-means clustering algorithm to obtain precise number of clusters and the degree of membership, and establishes…”
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An adaptive RBF neural network–based multi-objective optimization method for lightweight and crashworthiness design of cab floor rails using fuzzy subtractive clustering algorithm by Wang, Dengfeng, Xie, Chong, Wang, Shuang

“…) method integrating RBF neural network model, fuzzy subtractive clustering (FSC) sequence sampling method and non-dominated sorting genetic algorithm (NSGA-II) is proposed…”
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Online Monitoring Technology of Power Plant Equipment based on Big Data Accelerated Automatic Analysis by Gao, Song, Zhang, Yong, Zhang, Longhao, Fu, Endi, Wang, Huayou

“… through the CMCH-based multiscale multivariable sample entropy parallel algorithm as the accelerated analysis feature set, and simulate the gradient trend and time inflection point of gas data in the feature set…”
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Detection of Moving Objects Using Fuzzy Color Difference Histogram Based Background Subtraction by Panda, Deepak Kumar, Meher, Sukadev

“…) in the background subtraction algorithm. This is done by measuring the color difference between a pixel and its neighbors in a small local neighborhood…”
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Dynamic Background Subtraction Using Histograms Based on Fuzzy C-Means Clustering and Fuzzy Nearness Degree by Yu, Tianming, Yang, Jianhua, Lu, Wei

“… clustering and the fuzzy nearness degree, called FCFN. In this method, the temporal characteristics of the pixels are described by a fuzzy histogram using the fuzzy c-means algorithm…”
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Pedestrian Detection using Fuzzy Clustering and Histogram of Oriented Gradients by Malireddi, Harshitha, B., Rajitha, Parwani, Kiran

“… In this context, this paper proposes a efficient approach of using fuzzy clustering and Histogram of Gradients for detecting humans…”
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Saliency detection via multiple-morphological and superpixel based fast fuzzy C-mean clustering network by Nawaz, Mehmood, Yan, Hong

“…•The proposed technique produces the robust edge feature gradient image.•A probability-based subtraction technique is applied to remove the background cluster…”
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A Unification of Intuitionistic Fuzzy Calculus Theories Based on Subtraction Derivatives and Division Derivatives by Lei, Qian, Xu, Zeshui

“… Intuitionistic fuzzy calculus consists of two parallel parts, which are respectively developed based on the subtraction derivatives and the division derivatives…”
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A Fast and Robust Level Set Method for Image Segmentation Using Fuzzy Clustering and Lattice Boltzmann Method by Balla-Arabe, Souleymane, Gao, Xinbo, Wang, Bin

“… In this paper, we first designed an energy functional based on the fuzzy c -means objective function which incorporates the bias field that accounts for the intensity inhomogeneity of the real-world image…”
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Detection of Moving Objects Using Multi-channel Kernel Fuzzy Correlogram Based Background Subtraction by Chiranjeevi, Pojala, Sengupta, Somnath

“…In this paper, we examine the suitability of correlogram for background subtraction, as a step towards moving object detection…”
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A comprehensive computer-aided system for an early-stage diagnosis and classification of diabetic macular edema by Muhammad Zubair, Muhammad Umair, Rizwan Ali Naqvi, Dildar Hussain, Muhammad Owais, Naoufel Werghi

“… To overcome the challenges in precise localization of fovea, blood vessel network extraction, and accurate lesion segmentation, improved image relative subtraction, Gabor wavelet filter, and novel…”
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Week-ahead Predictions of Wind Power Based on Weather Classification by Ding, Tingting, Yang, Ming, Yu, Yixiao, Yan, Fangqing

“… In the approach, the GK fuzzy clustering algorithm based on subtraction clustering is used to divide the weather…”
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A Hybrid Short-Term Building Electrical Load Forecasting Model Combining the Periodic Pattern, Fuzzy System, and Wavelet Transform by Li, Chengdong, Tang, Minjia, Zhang, Guiqing, Wang, Ruiqi, Tian, Chongyi

“… The proposed method combines the fuzzy inference system and the periodicity knowledge together to generate accurate forecasting results…”
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A similarity-based robust clustering method by Yang, Miin-Shen, Wu, Kuo-Lung

“…This paper presents an alternating optimization clustering procedure called a similarity-based clustering method (SCM…”
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