Search Results - Ordered sample clustering segmentation algorithm

Research on speed optimization of fixed route ship with low data dependence by Hu, Chaodong, Wang, Yu, Han, Xu, Liu, Hui, Sun, Qun, Zhou, Bo

“… An ordered sample clustering algorithm based on the weighted event-triggered mechanism is introduced, enabling the adjustment of clustering weights according to demand…”
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Predictive energy management for a plug-in hybrid electric vehicle using driving profile segmentation and energy-based analytical SoC planning by Zhou, Wei, Chen, Yaoqi, Zhai, Haoran, Zhang, Weigang

“… Secondly, to facilitate the above planning process, an ordered sample clustering algorithm and a gap statistic algorithm are combined to optimally segment the predicted spatial-domain driving profile data…”
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An ordered sparse subspace clustering algorithm based on p‐Norm by Chen, Liping, Guo, Gongde, Wang, Hui

“…‐ordered sparse subspace clustering algorithm based on a p‐norm to achieve an effective clustering of sequential data under heavy noise conditions…”
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Entropy-Rate Clustering: Cluster Analysis via Maximizing a Submodular Function Subject to a Matroid Constraint by Ming-Yu Liu, Tuzel, Oncel, Ramalingam, Srikumar, Chellappa, Rama

“…We propose a new objective function for clustering. This objective function consists of two components…”
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Fast clustering of male lower body based on GA-BP neural network by Cheng, Pengpeng, Chen, Daoling, Wang, Jianping

“… And there is a total of 56 measurement items, which are clustered by GA-BP-K-means, K-means, optimal segmentation method for ordered samples, wavelet coefficient analysis, regression analysis and Naive Bayes Algorithm…”
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Ordered smooth representation clustering by Chen, Liping, Guo, Gongde

“…The smooth representation (SMR) model is a widely used segmentation method in computer vision…”
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Improved motion segmentation using Locally sampled Subspaces by Dimitriou, N., Delopoulos, A.

“… Initially, a local algorithm is applied to sample 4-subsets from the available trajectories…”
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Multi-Feature-Filtering-Based Road Curb Extraction from Unordered Point Clouds by Lang, Hong, Peng, Yuan, Zou, Zheng, Zhu, Shengxue, Peng, Yichuan, Du, Hao

“… This method integrates several techniques, including the grid height difference, normal vectors, clustering, an alpha-shape algorithm based on point cloud density, and the MSAC…”
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A self-iteration fatigue compensation model for surface electromyography signals-based dynamic arm force estimation by Sun, Hanlei, Han, Jianda

“… First, a modified Bayesian-based ordered sample clustering model is developed to optimize muscle fatigue…”
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