Zobrazeno 1 - 10
of 375
pro vyhledávání: '"Discriminative analysis"'
Akademický článek
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Autor:
Xiaoyi Chen, Pengfei Ke, Yuanyuan Huang, Jing Zhou, Hehua Li, Runlin Peng, Jiayuan Huang, Liqin Liang, Guolin Ma, Xiaobo Li, Yuping Ning, Fengchun Wu, Kai Wu
Publikováno v:
Frontiers in Neuroscience, Vol 17 (2023)
Externí odkaz:
https://doaj.org/article/bce0247be04e48e3b318b9ec201c41d7
Publikováno v:
IEEE Open Journal of Instrumentation and Measurement, Vol 1, Pp 1-11 (2022)
Deep learning neural network serves as a powerful tool for visual anomaly detection (AD) and fault diagnosis, attributed to its strong abstractive interpretation ability in the representation domain. The deep features from neural networks that are pr
Externí odkaz:
https://doaj.org/article/bc2551fca1f24561bb94685beed4cf37
Autor:
Xiaoyi Chen, Pengfei Ke, Yuanyuan Huang, Jing Zhou, Hehua Li, Runlin Peng, Jiayuan Huang, Liqin Liang, Guolin Ma, Xiaobo Li, Yuping Ning, Fengchun Wu, Kai Wu
Publikováno v:
Frontiers in Neuroscience, Vol 17 (2023)
IntroductionRecent studies in human brain connectomics with multimodal magnetic resonance imaging (MRI) data have widely reported abnormalities in brain structure, function and connectivity associated with schizophrenia (SZ). However, most previous d
Externí odkaz:
https://doaj.org/article/deb1742247e0430a9b493595aab3227c
Autor:
S. Magesh, P.S. Rajakumar
Publikováno v:
Measurement: Sensors, Vol 25, Iss , Pp 100631- (2023)
The classification of Cardiotocography (CTG) signal abnormalities is critical in the identification of fetal anomalies. The non-stationary nature of CTG, as well as the dataset asymmetry, make this classification task complicated. Manual CTG analysis
Externí odkaz:
https://doaj.org/article/8d4b0dd48c8b4d17bfc539115a335105
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
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Autor:
Shuaishuai Chen, Jun Lu
Publikováno v:
Mathematics, Vol 11, Iss 10, p 2398 (2023)
Ultrahigh-dimensional grouped data are frequently encountered by biostatisticians working on multi-class categorical problems. To rapidly screen out the null predictors, this paper proposes a quantile-composited feature screening procedure. The new m
Externí odkaz:
https://doaj.org/article/329392cf44064a45b7180fa3733a35ee
Learning Discriminative Projection With Visual Semantic Alignment for Generalized Zero Shot Learning
Publikováno v:
IEEE Access, Vol 8, Pp 166273-166282 (2020)
Zero Shot Learning (ZSL) aims to solve the classification problem with no training sample, and it is realized by transferring knowledge from source classes to target classes through the semantic embeddings bridging. Generalized ZSL (GZSL) enlarges th
Externí odkaz:
https://doaj.org/article/955ac205c421419cb0fb6f9872d8b005
Publikováno v:
IEEE Access, Vol 8, Pp 46851-46860 (2020)
The cross-view multimedia are widely existed and attract many attentions in recent years. Nevertheless, it is noted that the phenomenon, that data in different classes from same view are more similar than that in same class from different views, is u
Externí odkaz:
https://doaj.org/article/004376321f6d478eb9e9e8eb2a99aa48
Publikováno v:
Frontiers in Neuroscience, Vol 15 (2022)
Interest in the application of machine learning (ML) techniques to multimodal magnetic resonance imaging (MRI) data for the diagnosis of schizophrenia (SZ) at the individual level is growing. However, a few studies have applied the features of struct
Externí odkaz:
https://doaj.org/article/6ad6917d7eb44fb99debf7b2b8ea8ea8