Results 251 to 260 of about 1,715,429 (285)

Unsupervised Classification of Translated Texts

2015
In our paper we investigate the possibility to use an unsupervised classifier to automatically distinguish between the translated and original novels of a multilingual writer (Vladimir Nabokov) and to determine whether the authorship of a translated document can be achieved.
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An Unsupervised Audio Segmentation and Classification Approach

Fourth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2007), 2007
This paper presents an unsupervised audio segmentation and classification approach. First, the multiple change-point segmentation is adopted, and a new feature named Mel-ICA is introduced to improve it. An audio type "uncertain" is proposed to represent mixed type.
Wenjuan Pan, Yong Yao, Zhijing Liu
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Unsupervised Classification

2023
Juan J. Cuadrado-Gallego, Yuri Demchenko
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Clustering and unsupervised classification

2014
Abstract This chapter examines iterative clustering methods including finite mixture modelling based on the EM algorithm. Applications to behavioural segmentation of domestic energy customers, the identification of customer missions in supermarkets, and behaviour-based targeting for mobile network operators are covered.
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Research on Unsupervised Classification Algorithm Based on SSVEP

Applied Sciences (Switzerland), 2022
Yingnian Wu, Wenbai Chen, Rui Yang
exaly  

Clustering and Unsupervised Classification

1986
The successful application of maximum likelihood classification is dependent upon having delineated correctly the spectral classes in the image data of interest. This is necessary since each class is to be modelled by a normal probability distribution, as discussed in Chap. 8.
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Unsupervised Classification

2018
Stacy A. C. Nelson, Siamak Khorram
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Unsupervised Sentiment Classification

2016
This chapter describes the design and implementation of the unsupervised sentiment classification procedure. The classification procedure consisted of two core components: a bespoke sentiment analysis system developed by the author and the SenticNet sentiment lexicon. The sentiment lexicon acted as the source of sentiment information, and the sentiment
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Unsupervised Classification

2022
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Unsupervised Spanish dialect classification

Interspeech 2006, 2006
Rongqing Huang, John H. L. Hansen
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