Results 31 to 40 of about 178,877 (269)
Unsupervised Text Feature Extraction for Academic Chatbot using Constrained FP-Growth
ASM Science Journal, 2021 In the edge where conversation merely involves online chatting and texting one another, an automated conversational agent is needed to support certain repetitive tasks such as providing FAQs, customer service and product recommendations.
Suraya Alias
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Sensors, 2023 Predictive maintenance in the car industry is an active field of research for machine learning and anomaly detection. The capability of cars to produce time series data from sensors is growing as the car industry is heading towards more connected and ...
Yann Cherdo +3 more
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Unsupervised Mitral Valve Tracking for Disease Detection in Echocardiogram Videos
Journal of Imaging, 2020 In this work, a novel algorithmic scheme is developed that processes echocardiogram videos, and tracks the movement of the mitral valve leaflets, and thereby estimates whether the movement is symptomatic of a healthy or diseased heart.
Kazi Tanzeem Shahid, Ioannis Schizas
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Unsupervised image ranking [PDF]
Proceedings of the First ACM workshop on Large-scale multimedia retrieval and mining, 2009 In the paper, we propose and test an unsupervised approach for image ranking. Prior solutions are based on image content and the similarity graph connecting images. We generalize this idea by directly estimating the likelihood of each photo in a feature space.
Eva Hörster +3 more
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A Literature Survey on Word Sense Disambiguation for the Hindi Language
Information, 2023 Word sense disambiguation (WSD) is a process used to determine the most appropriate meaning of a word in a given contextual framework, particularly when the word is ambiguous.
Vinto Gujjar +5 more
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Beyond Supervised Learning in Remote Sensing: A Systematic Review of Deep Learning Approaches
IEEE Journal of Selected Topics in Applied Earth Observations and Remote SensingAn increasing availability of remote sensing data in the era of geo big-data makes producing well-represented, reliable training data to be more challenging and requires an excessive amount of human labor.
Benyamin Hosseiny +5 more
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Exploring the use of topological data analysis to automatically detect data quality faults
Frontiers in Big Data, 2022 Data quality problems may occur in various forms in structured and semi-structured data sources. This paper details an unsupervised method of analyzing data quality that is agnostic to the semantics of the data, the format of the encoding, or the ...
M. Eduard Tudoreanu
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Unsupervised Correlation Analysis [PDF]
2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2018 Linking between two data sources is a basic building block in numerous computer vision problems. In this paper, we set to answer a fundamental cognitive question: are prior correspondences necessary for linking between different domains? One of the most popular methods for linking between domains is Canonical Correlation Analysis (CCA). All current CCA
Yedid Hoshen, Lior Wolf
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Sensors, 2022 Currently, glaucoma has become an important cause of blindness. At present, although glaucoma cannot be cured, early treatment can prevent it from getting worse.
Fengming Zhang +2 more
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CoRRUnsupervised learning methods have a soft inspiration in cognition models. To this day, the most successful unsupervised learning methods revolve around clustering samples in a mathematical space. In this paper we propose a primitive-based, unsupervised learning approach for decision-making inspired by a novel cognition framework.
Alfredo Ibias +4 more
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