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
Sign Up to like & getrecommendations! Published in 2021 at "Cognitive Computation"
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
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Access"
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
Reinforcement Learning With Clustering Optimization for Antenna Parameter Adjustment in HAPS Networks
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Access"
DOI: 10.1109/access.2025.3612393
Abstract: High-Altitude Platform Stations (HAPS) promise to extend broadband coverage over wide areas by acting as quasi-stationary aerial base stations. However, wind-induced movements cause antenna misalignment and unbalanced user distributions, leading to throughput degradation. This work… read more here.
Keywords: low throughput; antenna; haps networks; reinforcement learning ... See more keywords
Learning Clustering for Motion Segmentation
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Circuits and Systems for Video Technology"
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
Unsupervised Competitive Learning Clustering and Visual Method to Obtain Accurate Trajectories From Noisy Repetitive GPS Data
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Transactions on Intelligent Transportation Systems"
DOI: 10.1109/tits.2024.3520393
Abstract: To make the proper planning of bus public transportation systems, especially with the introduction of electric buses to the fleets, it is essential to characterize the routes, patterns of traffic, speed, constraints, and presence of… read more here.
Keywords: method; gps; competitive learning; gps samples ... See more keywords
Autonomous fetal morphology scan: deep learning + clustering merger – the second pair of eyes behind the doctor
Sign Up to like & getrecommendations! Published in 2024 at "BMC Medical Informatics and Decision Making"
DOI: 10.1186/s12911-024-02505-3
Abstract: The main cause of fetal death, of infant morbidity or mortality during childhood years is attributed to congenital anomalies. They can be detected through a fetal morphology scan. An experienced sonographer (with more than 2000… read more here.
Keywords: deep learning; morphology scan; fetal morphology; learning clustering ... See more keywords
A machine learning and clustering-based approach for county-level COVID-19 analysis
Sign Up to like & getrecommendations! Published in 2022 at "PLoS ONE"
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