Results 21 to 30 of about 95,703 (260)
Unsupervised Spoken Utterance Classification
CoRR, 2021 An intelligent virtual assistant (IVA) enables effortless conversations in call routing through spoken utterance classification (SUC) which is a special form of spoken language understanding (SLU). Building a SUC system requires a large amount of supervised in-domain data that is not always available.
Shahab Jalalvand, Srinivas Bangalore
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Optimization of Remote Sensing Image Attributes to Improve Classification Accuracy
International Journal of Environment and Geoinformatics, 2019 Remote sensing technologies provide very important big data to various science areas such as risk identification, damage detection and prevention studies.
Uğur Avdan
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Semisupervised Center Loss for Remote Sensing Image Scene Classification
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2020 High-resolution remote sensing image scene classification is a scene-level classification task. Driven by a wide range of applications, accurate scene annotation has become a hot and challenging research topic.
Jun Zhang +3 more
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A COMPARATIVE STUDY OF ADVANCED LAND USE/LAND COVER CLASSIFICATION ALGORITHMS USING SENTINEL-2 DATA [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2018 Land Use/ Land Cover (LU/LC) is a major driving phenomenon of distributed ecosystems and its functioning. Interpretation of remote sensor data acquired from satellites requires enhancement through classification in order to attain better results ...
K. Nivedita Priyadarshini +3 more
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Unsupervised Exemplar-Based Learning for Improved Document Image Classification
IEEE Access, 2019 Many recent state-of-the-art approaches for document image classification are based on supervised feature learning that requires a large amount of labeled training data.
Sherif Abuelwafa +2 more
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Supervised and Unsupervised Neural Approaches to Text Readability
Computational Linguistics, 2021 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 ...
Matej Martinc +2 more
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Unsupervised classification of variable stars [PDF]
Monthly Notices of the Royal Astronomical Society, 2017 Accepted in November ...
Valenzuela, Lucas +1 more
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ACCURACY OF UNSUPERVISED CLASSIFICATION TO DETERMINE CORAL HEALTH USING SPOT-6 AND SENTINEL-2A [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2019 Characteristics of corals spectral from different species are expected to have optically different characters. The aims of this research are to compare unsupervised classification between IsoData and K-Means methods with Lyzenga application, and to ...
N. Nurdin +7 more
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Remote SensingSupervised polarimetric synthetic aperture radar (PolSAR) image classification demands a large amount of precisely labeled data. However, such data are difficult to obtain.
Lei Wang +4 more
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Collocation Classification with Unsupervised Relation Vectors [PDF]
Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics, 2019 Lexical relation classification is the task of predicting whether a certain relation holds between a given pair of words. In this paper, we explore to which extent the current distributional landscape based on word embeddings provides a suitable basis for classification of collocations, i.e., pairs of words between which idiosyncratic lexical relations
Luis Espinosa Anke +2 more
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