Suchergebnisse - "Density Based Clustering Algorithm"

A three-stage automated modal identification framework for bridge parameters based on frequency uncertainty and density clustering von He, Yi, Yang, Judy P., Li, Yi-Feng

“… of estimated frequencies and density-based clustering algorithm, which consists of the following …”
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A novel simulation paradigm utilising MRI-derived phosphene maps for cortical prosthetic vision von Wang, Haozhe Zac, Wong, Yan Tat

“… We developed a realistic simulation paradigm for cortical prosthetic vision and investigated whether we can improve visual performance using a novel clustering …”
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AoI-Sensitive Data Collection in Multi-UAV-Assisted Wireless Sensor Networks von Gao, Xingxia, Zhu, Xiumin, Zhai, Linbo

“… The unmanned aerial vehicle (UAV) is widely used in some scenes with high requirements for information freshness. Due to the limited endurance of the UAV, …”
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Successful classification of cocaine dependence using brain imaging: a generalizable machine learning approach von Mete, Mutlu, Sakoglu, Unal, Spence, Jeffrey S., Devous, Michael D., Harris, Thomas S., Adinoff, Bryon

“… However, these advances have not explored extensively for diagnostic accuracy in human subjects …”
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NICEST: Noisy Label Correction and Training for Robust Scene Graph Generation von Li, Lin, Xiao, Jun, Shi, Hanrong, Zhang, Hanwang, Yang, Yi, Liu, Wei, Chen, Long

“… Nearly all existing scene graph generation (SGG) models have overlooked the ground-truth annotation qualities of mainstream SGG datasets, i.e., they assume: 1) …”
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FATOC: Bug Isolation Based Multi-Fault Localization by Using OPTICS Clustering von Wu, Yong-Hao, Li, Zheng, Liu, Yong, Chen, Xiang

“… Bug isolation is a popular approach for multi-fault localization (MFL), where all failed test cases are clustered into several groups, and then the failed test …”
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A machine-learning approach for identifying dense-fires and assessing atmospheric emissions on the Indochina Peninsula, 2010–2020 von Zhong, Yaoqian, Ning, Ping, Yan, Si, Zhang, Chaoneng, Xing, Jia, Shi, Jianwu, Hao, Jiming

“… -learning method based on a density-based clustering algorithm with noise constraint ratio …”
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An epigenetic map of age-associated autosomal loci in northern European families at high risk for the metabolic syndrome von Ali, Omar, Cerjak, Diana, Kent, Jack W, James, Roland, Blangero, John, Carless, Melanie A, Zhang, Yi

“… ancestry using the Illumina HM450 array. Subjects (ages 6–85 years) were part of seven extended families, and 73% of adults and 32 …”
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Choice Of Distance Metrics in DBSCAN Based Color Template Matching Applied to Real-Time Human Shoe Detection von Brahma, Debarshi, Paral, Pritam, Chatterjee, Amitava

“… of visual human shoe detection, during people following. The CFAsT-Match involves the use of a popular density-based clustering algorithm, named DBSCAN, to form irregular-shaped clusters of the template image pixels. In this paper, we have presented a detailed study, where we implement various distance metrics while clustering the template image using the DBSCAN algorithm, and investigate the effects on the final detection outcomes …”
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Automatic clustering of eye gaze data for machine learning von Naqshbandi, Khushnood, Gedeon, Tom, Abdulla, Umran Azziz

“… In this paper, two ways of clustering the static visual stimuli - k-means and the density based clustering algorithm called OPTICS - were used for this purpose …”
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Intent Mining from past conversations for conversational agent von Chatterjee, Ajay, Sengupta, Shubhashis

“… Conversational systems are of primary interest in the AI community. Chatbots are increasingly being deployed to provide round-the-clock support and to increase …”
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Combining Time Series Similarity with Density-Based Clustering to Identify Fiber Bundles in the Human Brain von Junming Shao, Hahn, Klaus, Qinli Yang, Böhm, Christian, Wohlschläger, Afra, Myers, Nicholas, Plant, Claudia

“… Diffusion Tensor imaging (DTI) provides the potential way of exploring the organization of white matter fiber tracts in human subjects in a non-invasive way …”
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Outlier Detection on Semantic Space for Sentiment Analysis With Convolutional Neural Networks von Schmitt, Murilo Falleiros Lemos, Spinosa, Eduardo J.

“… To deal with these fundamental issues, this work proposes the use of convolutional neural networks and density-based clustering algorithms …”
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Multiple Moving Objects Using Deep Learning for Trajectory Extraction and Clustering von Elmasry, Yomna, Elzeky, Magda, Atia, Ayman

“… It also compares the performance of k-means and density-based clustering algorithms (DBSCAN) in these studies. We extract the trajectories of the subjects and analyze …”
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Mining biomedical images with density-based clustering von Celebi, M.E., Aslandogan, Y.A., Bergstresser, P.R.

“… Density-based clustering algorithms have recently gained popularity in the data mining field due to their ability to discover arbitrary shaped clusters while preserving spatial proximity of data points …”
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