Results 21 to 30 of about 1,715,429 (285)
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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Unsupervised Classification of Opinions
Proceedings of the 8th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, 2016 Opinion mining is gaining more interest thanks to the ever growing data available on the internet. This work proposes an unsupervised approach that clusters opinions in fine grain ranges. The approach is able to generate its own seed words for better applicability to the context and eliminating user input.
Vlad Vasile Itu +2 more
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Acta Geographica Slovenica, 2019 Supervised and unsupervised classification methods can be a useful tool in determining various geographical spatial divisions, especially regionalizations and typifications.
Drago Perko, Rok Ciglič, Mauro Hrvatin
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SN Applied Sciences, 2022 The study of land use land cover has become increasingly significant with the availability of remote sensing data. The main objective of this study is to delineate geohazard-prone areas using semi-automatic classification technique and Sentinel-2 ...
Karma Tempa, Komal Raj Aryal
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Unsupervised Classification of Planning Instances
Proceedings of the International Conference on Automated Planning and Scheduling, 2017 In this paper we introduce a novel approach for unsupervised classification of planning instances based on the recent formalism of planning programs. Our approach is inspired by structured prediction in machine learning, which aims at predicting structured information about a given input rather than a scalar value.
Segovia-Aguas, Javier +2 more
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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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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 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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