How to Reduce Dimension With PCA and Random Projections? [PDF]
IEEE Transactions on Information Theory, 2021 In our "big data" age, the size and complexity of data is steadily increasing. Methods for dimension reduction are ever more popular and useful. Two distinct types of dimension reduction are "data-oblivious" methods such as random projections and sketching, and "data-aware" methods such as principal component analysis (PCA).
Fan Yang +3 more
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Resilience of Nematode Connectomes Based on Network Dimension-reduced Method
Frontiers in Physics, 2021 The whole map of nematode connectomes provides important structural data for exploring the behavioral mechanism of nematodes, but to further reveal the functional importance and resilience pattern of nematode neurons, it is necessary to effectively ...
Duan Dongli, Wu Xixi, Si Shubin
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Reduced‐dimension MVDR beamformer based on sub‐array optimization
IET Communications, 2022 A reduced‐dimension minimum variance distortionless response based on sub‐array optimization beamformer (SAMVDR) is proposed for large array systems or some hardware performance constrained scenarios.
Tuanning Liu +3 more
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Reduced-Rank Envelope Vector Autoregressive Model [PDF]
, 2023 The standard vector autoregressive (VAR) models suffer from overparameterization which is a serious issue for high-dimensional time series data as it restricts the number of variables and lags that can be incorporated into the model.
S. Yaser Samadi (17019385) +1 more
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Thermodynamics at microscales： 3D→2D, 1D and 0D
Green Energy & Environment, 2020 Today, the laws of traditional thermodynamics are facing challenges when science is growing rapidly toward the microscale-world, even quantum hypothesis.
Kun Dong, Feng Huo, Suojiang Zhang
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Reduced density matrix approach to ultracold few-fermion systems in one dimension
New Journal of Physics, 2022 The variational determination of the two-fermion reduced density matrix (2-RDM) is described for harmonically trapped, ultracold few-fermion systems in one dimension with equal spin populations.
Mitchell J Knight +2 more
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Multiscale fractal dimension analysis of a reduced order model of coupled ocean–atmosphere dynamics [PDF]
Earth System Dynamics, 2021 Atmosphere and ocean dynamics display many complex features and are characterized by a wide variety of processes and couplings across different timescales.
T. Alberti +3 more
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Effect of Vericiguat, a Soluble Guanylate Cyclase Stimulator, on Natriuretic Peptide Levels in Patients With Worsening Chronic Heart Failure and Reduced Ejection Fraction: The SOCRATES-REDUCED Randomized Trial [PDF]
, 2015 Worsening chronic heart failure (HF) is a major public health ...
SOCRATES REDUCED, Investigators +3 more
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IEEE Access, 2017 An efficient and training-sample-reducing space-time adaptive processing (STAP) algorithm based on sparse representation for ground clutter suppression in airborne radar is proposed in this paper. First of all, the principle and problems of sample matrix
Yiduo Guo, Guisheng Liao, Weike Feng
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A Fiber Nonlinearity Compensation Scheme With Complex-Valued Dimension-Reduced Neural Network
IEEE Photonics Journal, 2021 A fiber nonlinearity compensation scheme based on a complex-valued dimension-reduced neural network is proposed. The proposed scheme performs all calculations in complex values and employs a dimension-reduced triplet feature vector to reduce the size of ...
Pinjing He +6 more
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