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State space least p-power filter

Liu, Xi et al.

Digital signal processing -- Academic Press -- Volume: 63 C; (pages 1-9) -- 2017

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Multilayer one-class extreme learning machine

Dai, Haozhen et al.

Neural networks. Volume 115: (2019, July); pp 11-22 -- Elsevier

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Maximum correntropy adaptation approach for robust compressive sensing reconstruction

He, Yicong et al.

Information sciences. Volume 480: (2019, April); pp 381-402 -- Elsevier

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A Unified Framework for Asynchronous Control of Positive Switched Systems *

Zhang, Junfeng et al.

IFAC-PapersOnLine. Volume 50:Issue 1 (2017); pp 3087-3092 -- Elsevier Ltd

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Excavation equipment classification based on improved MFCC features and ELM

Cao, Jiuwen et al.

Neurocomputing. Volume 261 (2017); pp 231-241

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Supervoxel based method for multi-atlas segmentation of brain MR images

Huo, Jie et al.

NEUROIMAGE. Volume 175: (2018, July 15th); pp 201-214

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Cascaded re-ranking modelling of translation hypotheses using extreme learning machines

Vong, Chi Man et al.

APPLIED SOFT COMPUTING. Volume 58: (2017, September); pp 681-689 -- ELSEVIER SCIENCE

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Proportionate adaptive filtering algorithms based on mixed square/fourth error criterion with unbiasedness criterion for sparse system identification

Ma, Wentao et al.

International journal of adaptive control and signal processing. Volume 32:Number 11 (2018); pp 1644-1654 -- Wiley

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Extreme learning machine and adaptive sparse representation for image classification

Cao, Jiuwen et al.

Elsevier -- 2016

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Recent advances in machine learning for signal analysis and processing

Cao, Jiuwen et al.

Journal of the Franklin Institute -- Elsevier -- Volume: 355 Issue: 4; (pages 1513-1516) -- 2018

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by this Author/Contributor:

  1. Cao, Jiuwen
  2. Yin, Chun
  3. Lai, Xiaoping
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  5. Chen, Badong

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