Cross-domain person re-identification by hybrid supervised and unsupervised learning
Sign Up to like & getrecommendations! Published in 2021 at "Applied Intelligence"
DOI: 10.1007/s10489-021-02551-8
Abstract: Although the single-domain person re-identification (Re-ID) method has achieved great accuracy, the dependence on the label in the same image domain severely limits the scalability of this method. Therefore, cross-domain Re-ID has received more and… read more here.
Keywords: cross domain; unsupervised learning; domain; supervised unsupervised ... See more keywords
Generalized Feature Embedding for Supervised, Unsupervised, and Online Learning Tasks
Sign Up to like & getrecommendations! Published in 2019 at "Information Systems Frontiers"
DOI: 10.1007/s10796-018-9850-y
Abstract: Feature embedding is an emerging research area which intends to transform features from the original space into a new space to support effective learning. Many feature embedding algorithms exist, but they often suffer from several… read more here.
Keywords: supervised unsupervised; learning tasks; feature; online learning ... See more keywords
A unified distributed ELM framework with supervised, semi-supervised and unsupervised big data learning
Sign Up to like & getrecommendations! Published in 2019 at "Memetic Computing"
DOI: 10.1007/s12293-018-0271-8
Abstract: Extreme learning machine (ELM) as well as its variants have been widely used in many fields for its good generalization performance and fast learning speed. Though distributed ELM can sufficiently process large-scale labeled training data,… read more here.
Keywords: distributed elm; supervised unsupervised; supervised semi; semi supervised ... See more keywords
Do Longitudinal Trends in Tobacco 21-Related Media Coverage Correlate with Policy Support? an Exploratory Analysis Using Supervised and Unsupervised Machine Learning Methods.
Sign Up to like & getrecommendations! Published in 2020 at "Health communication"
DOI: 10.1080/10410236.2020.1816282
Abstract: Media coverage can impact support for health policies and, ultimately, compliance with those policies. Prior research found consistent, high support for Tobacco 21 policies, which raise the minimum legal age of tobacco purchase to 21,… read more here.
Keywords: tobacco; media coverage; analysis; support ... See more keywords
SUPERVISED AND UNSUPERVISED LEARNING TO DEFINE THE CARDIOVASCULAR RISK OF PATIENTS ACCORDING TO AN EXTRACELLULAR VESICLE MOLECULAR SIGNATURE.
Sign Up to like & getrecommendations! Published in 2022 at "Journal of hypertension"
DOI: 10.1097/01.hjh.0000836712.81943.92
Abstract: OBJECTIVE Secreted extracellular vesicles (EVs) are membrane-bound nanoparticles released from cells. Since their content reflect the specific signatures of cellular activation and injury, EVs display a strong potential as biomarkers in the cardiovascular (CV) field.… read more here.
Keywords: signature; risk; patients according; supervised unsupervised ... See more keywords
ESW Edge Weights: Ensemble Stochastic Watershed Edge Weights for Hyperspectral Image Classification
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2022.3173793
Abstract: Hyperspectral image (HSI) classification is a topic of active research. One of the main challenges of HSI classification is the lack of reliable labeled samples. Various semi-supervised and unsupervised classification methods are proposed to handle… read more here.
Keywords: classification; semi supervised; edge weights; supervised unsupervised ... See more keywords
Combining Supervised and Unsupervised Learning for Improved miRNA Target Prediction
Sign Up to like & getrecommendations! Published in 2018 at "IEEE/ACM Transactions on Computational Biology and Bioinformatics"
DOI: 10.1109/tcbb.2017.2727042
Abstract: MicroRNAs (miRNAs) are short non-coding RNAs which bind to mRNAs and regulate their expression. MiRNAs have been found to be associated with initiation and progression of many complex diseases. Investigating miRNAs and their targets can… read more here.
Keywords: improved mirna; unsupervised learning; combining supervised; learning improved ... See more keywords
Semi-Supervised and Unsupervised Deep Visual Learning: A Survey
Sign Up to like & getrecommendations! Published in 2022 at "IEEE transactions on pattern analysis and machine intelligence"
DOI: 10.1109/tpami.2022.3201576
Abstract: State-of-the-art deep learning models are often trained with a large amount of costly labeled training data. However, requiring exhaustive manual annotations may degrade the model's generalizability in the limited-label regime.Semi-supervised learning and unsupervised learning offer… read more here.
Keywords: unsupervised deep; semi supervised; learning; survey ... See more keywords
Supervised and Unsupervised Neural Approaches to Text Readability
Sign Up to like & getrecommendations! Published in 2019 at "Computational Linguistics"
DOI: 10.1162/coli_a_00398
Abstract: We present a set of novel neural supervised and unsupervised approaches for determining the readability of documents. In the unsupervised setting, we leverage neural language models, whereas in the supervised setting, three different neural classification… read more here.
Keywords: approaches text; text readability; readability; neural approaches ... See more keywords
340-P: Nocturnal Hypoglycemia Prediction in Hospitalized Patients with Type 1 Diabetes Using Combined Supervised and Unsupervised Ensemble Learning
Sign Up to like & getrecommendations! Published in 2021 at "Diabetes"
DOI: 10.2337/db21-340-p
Abstract: The Aim: To assess the efficacy of combined supervised and unsupervised ensemble machine learning based on continuous glucose monitoring (CGM) data for short-term prediction of nocturnal hypoglycemia (NH) in hospitalized patients with type 1 diabetes… read more here.
Keywords: combined supervised; unsupervised ensemble; nocturnal hypoglycemia; hospitalized patients ... See more keywords
kernInt: A Kernel Framework for Integrating Supervised and Unsupervised Analyses in Spatio-Temporal Metagenomic Datasets
Sign Up to like & getrecommendations! Published in 2021 at "Frontiers in Microbiology"
DOI: 10.3389/fmicb.2021.609048
Abstract: The advent of next-generation sequencing technologies allowed relative quantification of microbiome communities and their spatial and temporal variation. In recent years, supervised learning (i.e., prediction of a phenotype of interest) from taxonomic abundances has become… read more here.
Keywords: kernel framework; kernint kernel; framework integrating; integrating supervised ... See more keywords