Results 31 to 40 of about 2,740,047 (370)
Mathematics, 2021 With unlabeled music data widely available, it is necessary to build an unsupervised latent music representation extractor to improve the performance of classification models.
Lvyang Qiu, Shuyu Li, Yunsick Sung
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Unsupervised Person Re-Identification via Multi-Label Classification [PDF]
Computer Vision and Pattern Recognition, 2020 The challenge of unsupervised person re-identification (ReID) lies in learning discriminative features without true labels. This paper formulates unsupervised person ReID as a multi-label classification task to progressively seek true labels.
Dongkai Wang, Shiliang Zhang
semanticscholar +1 more source
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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Classification under Streaming Emerging New Classes: A Solution using Completely Random Trees [PDF]
, 2016 This paper investigates an important problem in stream mining, i.e., classification under streaming emerging new classes or SENC. The common approach is to treat it as a classification problem and solve it using either a supervised learner or a semi ...
Mu, Xin, Ting, Kai Ming, Zhou, Zhi-Hua
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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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Applied Sciences, 2021 The task of unsupervised anomalous sound detection (ASD) is challenging for detecting anomalous sounds from a large audio database without any annotated anomalous training data.
Yaoguang Wang +6 more
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Improving Bird Classification with Unsupervised Sound Separation [PDF]
IEEE International Conference on Acoustics, Speech, and Signal Processing, 2021 This paper addresses the problem of species classification in bird song recordings. The massive amount of available field recordings of birds presents an opportunity to use machine learning to automatically track bird populations.
Tom Denton, Scott Wisdom, J. Hershey
semanticscholar +1 more source
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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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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A partially unsupervised cascade classifier for the analysis of multitemporal remote-sensing images [PDF]
, 2002 A partially unsupervised approach to the classification of multitemporal remote-sensing images is presented. Such an approach allows the automatic classification of a remote-sensing image for which training data are not available, drawing on the ...
Bruzzone, Lorenzo +1 more
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