Results 31 to 40 of about 323,408 (293)
Unsupervised discovery of morphemes [PDF]
Proceedings of the ACL-02 workshop on Morphological and phonological learning -, 2002 We present two methods for unsupervised segmentation of words into morpheme-like units. The model utilized is especially suited for languages with a rich morphology, such as Finnish. The first method is based on the Minimum Description Length (MDL) principle and works online. In the second method, Maximum Likelihood (ML) optimization is used.
Mathias Creutz, Krista Lagus
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Unsupervised learning and generalization [PDF]
Proceedings of International Conference on Neural Networks (ICNN'96), 2002 The concept of generalization is defined for a general class of unsupervised learning machines. The generalization error is a straightforward extension of the corresponding concept for supervised learning, and may be estimated empirically using a test set or by statistical means-in close analogy with supervised learning.
Lars Kai Hansen, Jan Larsen
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Video Scene Segmentation of TV Series Using Multimodal Neural Features
Series. International journal of tv serial narratives, 2019 Scene segmentation of a video, a book or TV series allows to organize them into Logical Story Units and is an essential step for representing, extracting and understanding their narrative structures.
Aman Berhe +2 more
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ClassCut for Unsupervised Class Segmentation [PDF]
, 2010 We propose a novel method for unsupervised class segmentation on a set of images. It alternates between segmenting object instances and learning a class model.
Bogdan Alexe +5 more
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Unsupervised Change Detection Using Ground-based Radar Image
Leida xuebao, 2020 Ground-based radar is a microwave remote sensing imaging technology that has been gradually developed throughout the past 20 years so that it has become mature. At present, it has been widely used in monitoring geological disasters such as landslides and
HUANG Pingping +5 more
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CoRR, 2018 Contrast and quality of ultrasound images are adversely affected by the excessive presence of speckle. However, being an inherent imaging property, speckle helps in tissue characterization and tracking. Thus, despeckling of the ultrasound images requires the reduction of speckle extent without any oversmoothing.
Deepak Mishra 0003 +3 more
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IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023 Supervised pansharpening methods require the ground truth, which is generally unavailable. Therefore, the popularity of unsupervised pansharpening methods has increased.
Wenxiu Diao +3 more
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, 2012 In this paper we present a new model of semantic features that, unlike previously presented methods, does not rely on the presence of a labeled training data base, as the creation of the feature extraction function is done in an unsupervised manner.
Claudio Cusano +2 more
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Unsupervised Learning of Morphology [PDF]
Computational Linguistics, 2011 This article surveys work on Unsupervised Learning of Morphology. We define Unsupervised Learning of Morphology as the problem of inducing a description (of some kind, even if only morpheme-segmentation) of how orthographic words are built up given only raw text data of a language.
Hammarström, H. ; https://orcid.org/0000-0003-0120-6396 +1 more
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Frontiers in Microbiology, 2021 The advent of next-generation sequencing technologies allowed relative quantification of microbiome communities and their spatial and temporal variation.
Elies Ramon +6 more
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