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Published in 2020 at "Multimedia Tools and Applications"
DOI: 10.1007/s11042-020-09135-7
Abstract: Computer-aided diagnosis of epilepsy based on Electroencephalography (EEG) analysis is a beneficial practice which adopts machine learning to increase the recognition rate and saves physicians from long hours of EEG inspection. However multi-channel epilepsy EEG…
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Keywords:
eeg signals;
algorithm;
feature dimension;
reduction algorithm ... See more keywords
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Published in 2019 at "Optics and Lasers in Engineering"
DOI: 10.1016/j.optlaseng.2019.05.023
Abstract: Abstract Spatial light modulators (SLMs) comprising millions of micro-pixels have been applied for advanced applications requiring diffractive images of high quality (i.e., low root-mean-squared error, high signal-to-noise ratio, and low signal variation). Diffractive optical elements…
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Keywords:
optimization;
error reduction;
error;
pera ... See more keywords
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Published in 2020 at "Nature Biomedical Engineering"
DOI: 10.1038/s41551-020-00635-3
Abstract: Dimensionality reduction is widely used in the visualization, compression, exploration and classification of data. Yet a generally applicable solution remains unavailable. Here, we report an accurate and broadly applicable data-driven algorithm for dimensionality reduction. The…
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Keywords:
exploration;
data driven;
dimensionality;
dimensionality reduction ... See more keywords
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Published in 2018 at "Survey Review"
DOI: 10.1080/00396265.2016.1230953
Abstract: To fast estimate high-dimensional ambiguities, we propose a new lattice reduction algorithm based on QR decomposition, which achieves fast integer transformation through an iterative strategy of whole size reduction and the deep insertion of minimum…
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Keywords:
reduction;
high dimensional;
ambiguity resolution;
reduction algorithm ... See more keywords
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Published in 2022 at "IEEE Transactions on Knowledge and Data Engineering"
DOI: 10.1109/tkde.2020.3005878
Abstract: Despite being commonly used in big-data analytics; the outcome of dimensionality reduction remains a black-box to most of its users. Understanding the quality of a low-dimensional embedding is important as not only it enables trust…
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Keywords:
dimensional embeddings;
dimensionality reduction;
reduction algorithm;
low dimensional ... See more keywords
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Published in 2022 at "Computational Intelligence and Neuroscience"
DOI: 10.1155/2022/6981246
Abstract: Basketball is one of the students' favorite ball games, and it is also one of the most popular sports for college students to carry out after class. Especially in recent years, with the spread of…
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Keywords:
basketball;
basketball injury;
reduction algorithm;
attribute reduction ... See more keywords
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Published in 2017 at "BMC Systems Biology"
DOI: 10.1186/s12918-017-0397-1
Abstract: BackgroundSystems Biology continues to produce increasingly large models of complex biochemical reaction networks. In applications requiring, for example, parameter estimation, the use of agent-based modelling approaches, or real-time simulation, this growing model complexity can present…
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Keywords:
model;
reduction algorithm;
biology;
model reduction ... See more keywords
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Published in 2017 at "EURASIP Journal on Wireless Communications and Networking"
DOI: 10.1186/s13638-016-0756-4
Abstract: In this paper, we propose a low-complexity lattice reduction (LR) algorithm for multiple-input multiple-output (MIMO) detectors with tree searching. Whereas conventional approaches are based exclusively on channel characteristics, we focus on joint optimisation by employing…
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Keywords:
complexity;
mimo detectors;
low complexity;
reduction algorithm ... See more keywords