Search Results - "Partitioning algorithms"

Deep Isolation Forest for Anomaly Detection by Xu, Hongzuo, Pang, Guansong, Wang, Yijie, Wang, Yongjun

“…Isolation forest (iForest) has been emerging as arguably the most popular anomaly detector in recent years due to its general effectiveness across different…”
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An Efficient Framework for Clustered Federated Learning by Ghosh, Avishek, Chung, Jichan, Yin, Dong, Ramchandran, Kannan

“…We address the problem of federated learning (FL) where users are distributed and partitioned into clusters. This setup captures settings where different…”
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Placement Optimization of UAV-Mounted Mobile Base Stations by Lyu, Jiangbin, Zeng, Yong, Zhang, Rui, Lim, Teng Joon

“…In terrestrial communication networks without fixed infrastructure, unmanned aerial vehicle-mounted mobile base stations (MBSs) provide an efficient solution…”
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A Comprehensive Survey on Community Detection With Deep Learning by Su, Xing, Xue, Shan, Liu, Fanzhen, Wu, Jia, Yang, Jian, Zhou, Chuan, Hu, Wenbin, Paris, Cecile, Nepal, Surya, Jin, Di, Sheng, Quan Z., Yu, Philip S.

“…Detecting a community in a network is a matter of discerning the distinct features and connections of a group of members that are different from those in other…”
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Challenges in KNN Classification by Zhang, Shichao

“…The KNN algorithm is one of the most popular data mining algorithms. It has been widely and successfully applied to data analysis applications across a variety…”
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Fast Multi-view Clustering via Ensembles: Towards Scalability, Superiority, and Simplicity by Huang, Dong, Wang, Chang-Dong, Lai, Jian-Huang

“…Despite significant progress, there remain three limitations to the previous multi-view clustering algorithms. First, they often suffer from high computational…”
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Late Fusion Incomplete Multi-View Clustering by Liu, Xinwang, Zhu, Xinzhong, Li, Miaomiao, Wang, Lei, Tang, Chang, Yin, Jianping, Shen, Dinggang, Wang, Huaimin, Gao, Wen

“…Incomplete multi-view clustering optimally integrates a group of pre-specified incomplete views to improve clustering performance. Among various excellent…”
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Efficient Multi-View Clustering via Unified and Discrete Bipartite Graph Learning by Fang, Si-Guo, Huang, Dong, Cai, Xiao-Sha, Wang, Chang-Dong, He, Chaobo, Tang, Yong

“…Although previous graph-based multi-view clustering (MVC) algorithms have gained significant progress, most of them are still faced with three limitations…”
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SimpleMKKM: Simple Multiple Kernel K-Means by Liu, Xinwang

“…We propose a simple yet effective multiple kernel clustering algorithm, termed simple multiple kernel k-means (SimpleMKKM). It extends the widely used…”
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Significantly Fast and Robust Fuzzy C-Means Clustering Algorithm Based on Morphological Reconstruction and Membership Filtering by Lei, Tao, Jia, Xiaohong, Zhang, Yanning, He, Lifeng, Meng, Hongying, Nandi, Asoke K.

“…As fuzzy c-means clustering (FCM) algorithm is sensitive to noise, local spatial information is often introduced to an objective function to improve the…”
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A Coded Compressed Sensing Scheme for Unsourced Multiple Access by Amalladinne, Vamsi K., Chamberland, Jean-Francois, Narayanan, Krishna R.

“…This article introduces a novel scheme, termed coded compressed sensing, for unsourced multiple-access communication. The proposed divide-and-conquer approach…”
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Contrastive Multi-View Kernel Learning by Liu, Jiyuan, Liu, Xinwang, Yang, Yuexiang, Liao, Qing, Xia, Yuanqing

“…Kernel method is a proven technique in multi-view learning. It implicitly defines a Hilbert space where samples can be linearly separated. Most kernel-based…”
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Reinforcement Learning in Multiple-UAV Networks: Deployment and Movement Design by Liu, Xiao, Liu, Yuanwei, Chen, Yue

“…A novel framework is proposed for quality of experience driven deployment and dynamic movement of multiple unmanned aerial vehicles (UAVs). The problem of…”
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Multiscale Combinatorial Grouping for Image Segmentation and Object Proposal Generation by Pont-Tuset, Jordi, Arbelaez, Pablo, Barron, Jonathan T., Marques, Ferran, Malik, Jitendra

“…We propose a unified approach for bottom-up hierarchical image segmentation and object proposal generation for recognition, called Multiscale Combinatorial…”
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Locally Weighted Ensemble Clustering by Huang, Dong, Wang, Chang-Dong, Lai, Jian-Huang

“…Due to its ability to combine multiple base clusterings into a probably better and more robust clustering, the ensemble clustering technique has been…”
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Scalable Nearest Neighbor Algorithms for High Dimensional Data by Muja, Marius, Lowe, David G.

“…For many computer vision and machine learning problems, large training sets are key for good performance. However, the most computationally expensive part of…”
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Low-Complexity CTU Partition Structure Decision and Fast Intra Mode Decision for Versatile Video Coding by Yang, Hao, Shen, Liquan, Dong, Xinchao, Ding, Qing, An, Ping, Jiang, Gangyi

“…Quadtree with nested multi-type tree (QTMT) partition structure is an efficient improvement in versatile video coding (VVC) over the quadtree (QT) structure in…”
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Guaranteed Matrix Completion via Non-Convex Factorization by Sun, Ruoyu, Luo, Zhi-Quan

“…Matrix factorization is a popular approach for large-scale matrix completion. The optimization formulation based on matrix factorization, even with huge size,…”
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Incomplete Multiple Kernel Alignment Maximization for Clustering by Liu, Xinwang

“…Multiple kernel alignment (MKA) maximization criterion has been widely applied into multiple kernel clustering (MKC) and many variants have been recently…”
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Late Fusion Multiple Kernel Clustering With Proxy Graph Refinement by Wang, Siwei, Liu, Xinwang, Liu, Li, Zhou, Sihang, Zhu, En

“…Multiple kernel clustering (MKC) optimally utilizes a group of pre-specified base kernels to improve clustering performance. Among existing MKC algorithms, the…”
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