Zobrazeno 1 - 10 of 23 pro vyhledávání: '"Mizoguchi, Takehiko"'
1
Report
Deep Federated Anomaly Detection for Multivariate Time Series Data
Autor: Zhu, Wei, Song, Dongjin, Chen, Yuncong, Cheng, Wei, Zong, Bo, Mizoguchi, Takehiko, Lumezanu, Cristian, Chen, Haifeng, Luo, Jiebo
Despite the fact that many anomaly detection approaches have been developed for multivariate time series data, limited effort has been made on federated settings in which multivariate time series data are heterogeneously distributed among different e
Externí odkaz: http://arxiv.org/abs/2205.04041
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2
Report
Ordinal-Quadruplet: Retrieval of Missing Classes in Ordinal Time Series
Autor: Nazarovs, Jurijs, Lumezanu, Cristian, Ren, Qianying, Chen, Yuncong, Mizoguchi, Takehiko, Song, Dongjin, Chen, Haifeng
In this paper, we propose an ordered time series classification framework that is robust against missing classes in the training data, i.e., during testing we can prescribe classes that are missing during training. This framework relies on two main c
Externí odkaz: http://arxiv.org/abs/2201.09907
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4
At the Speed of Sound: Efficient Audio Scene Classification
Autor: Latifur Khan, Cristian Lumezanu, Haifeng Chen, Yuncong Chen, Dongjin Song, Mizoguchi Takehiko, Bo Dong
Publikováno v: ICMR
Efficient audio scene classification is essential for smart sensing platforms such as robots, medical monitoring, surveillance, or autonomous vehicles. We propose a retrieval-based scene classification architecture that combines recurrent neural netw
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::1aecf30ed888eea0fb08e8a375b22e2a
https://doi.org/10.1145/3372278.3390730
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7
Akademický článek
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9
A Quality Control Engine for Complex Physical Systems
Autor: Geoff Jiang, Mizoguchi Takehiko, Haifeng Chen, Yan Tan, Kai Zhang
Publikováno v: DSN
This paper proposes a novel framework to automatically pinpoint suspicious sensors that lead to the quality change in physical systems such as manufacture plants. Our framework treats sensor readings as time series, and contains three main stages: ti
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::729558864184f92c7252248809ba358a
https://doi.org/10.1109/dsn.2015.25
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