Learning the Clustering of Longitudinal Shape Data Sets into a Mixture of Independent or Branching Trajectories
Sign Up to like & getrecommendations! Published in 2020 at "International Journal of Computer Vision"
DOI: 10.1007/s11263-020-01337-8
Abstract: Given repeated observations of several subjects over time, i.e. a longitudinal data set, this paper introduces a new model to learn a classification of the shapes progression in an unsupervised setting: we automatically cluster a… read more here.
Keywords: data sets; clustering longitudinal; shape; learning clustering ... See more keywords
Co-Adjustment Learning for Co-Clustering
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DOI: 10.1007/s12559-021-09827-8
Abstract: Co-clustering simultaneously performs clustering on the sample and feature dimensions of the data matrix, so it can obtain better insight into the data than traditional clustering. Adjustment learning extracts valuable information from chunklets for unsupervised… read more here.
Keywords: clustering adjustment; framework; adjustment; adjustment learning ... See more keywords
Unsupervised Learning Clustering and Dynamic Transmission Scheduling for Efficient Dense LoRaWAN Networks
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DOI: 10.1109/access.2020.3031974
Abstract: Long-Range (LoRa) communication technology is considered as a promising connectivity solutions for Internet of Things (IoT) dense applications. In particular, LoRa has drawn the interest due to its low power consumption and wide area coverage.… read more here.
Keywords: learning clustering; dense; dynamic transmission; consumption ... See more keywords
Learning Clustering for Motion Segmentation
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DOI: 10.1109/tcsvt.2021.3069094
Abstract: Subspace clustering has been extensively studied from the hypothesis-and-test, algebraic, and spectral clustering-based perspectives. Most assume that only a single type/class of subspace is present. Generalizations to multiple types are non-trivial, plagued by challenges such… read more here.
Keywords: motion segmentation; subspace; linear subspace; learning clustering ... See more keywords
A machine learning and clustering-based approach for county-level COVID-19 analysis
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DOI: 10.1371/journal.pone.0267558
Abstract: COVID-19 is a global pandemic threatening the lives and livelihood of millions of people across the world. Due to its novelty and quick spread, scientists have had difficulty in creating accurate forecasts for this disease.… read more here.
Keywords: county; machine learning; analysis; learning clustering ... See more keywords