Vegetation segmentation based on variational level set using multi-channel local wavelet texture and color
Sign Up to like & getrecommendations! Published in 2018 at "Signal, Image and Video Processing"
DOI: 10.1007/s11760-018-1239-3
Abstract: The existing spectrum index-based methods for detecting vegetation coverage suffer from an over-dependence on spectrum. To address these issues, this paper proposes a graph cut-based variational level set segmentation algorithm that combines multi-channel local wavelet… read more here.
Keywords: color; level; based variational; wavelet ... See more keywords
An adaptive seismic signal denoising method based on variational mode decomposition
Sign Up to like & getrecommendations! Published in 2021 at "Measurement"
DOI: 10.1016/j.measurement.2021.109277
Abstract: Abstract In this paper, we study the denoising method for unattended ground sensor (UGS) systems that are composed of seismic sensors. Seismic sensors are used for collecting the seismic signals generated by targets. The collected… read more here.
Keywords: denoising method; method based; based variational; seismic signal ... See more keywords
Nonlinear point-process estimation of neural spiking activity based on variational Bayesian inference
Sign Up to like & getrecommendations! Published in 2022 at "Journal of Neural Engineering"
DOI: 10.1088/1741-2552/ac88a0
Abstract: Objective. Understanding neural encoding and decoding processes are crucial to the development of brain-machine interfaces (BMI). Higher decoding speed of neural signals is required for the large-scale neural data and the extremely low detection delay… read more here.
Keywords: based variational; nonlinear point; point process; bayesian inference ... See more keywords
Mesh-based Variational Autoencoders for Localized Deformation Component Analysis.
Sign Up to like & getrecommendations! Published in 2021 at "IEEE transactions on pattern analysis and machine intelligence"
DOI: 10.1109/tpami.2021.3085887
Abstract: Spatially localized deformation components are very useful for shape analysis and synthesis in 3D geometry processing. Several methods have recently been developed, with an aim to extract intuitive and interpretable deformation components. However, these techniques… read more here.
Keywords: mesh based; deformation component; based variational; deformation ... See more keywords
A Combined Method for Time-Varying Parameter Identification Based on Variational Mode Decomposition and Generalized Morse Wavelet
Sign Up to like & getrecommendations! Published in 2020 at "International Journal of Structural Stability and Dynamics"
DOI: 10.1142/s0219455420500777
Abstract: Time-varying parameter identification is essential for structural health monitoring and performance evaluation. In this paper, a combined method based on the variational mode decomposition and gene... read more here.
Keywords: varying parameter; parameter identification; time varying; variational mode ... See more keywords
3D DDA Based on Variational Inequality Theory and Its Solution Scheme
Sign Up to like & getrecommendations! Published in 2018 at "International Journal of Computational Methods"
DOI: 10.1142/s0219876218500810
Abstract: The advantage of 3D discontinuous deformation analysis (3D DDA) is the rigorous contact conditions on the interaction of 3D blocks. These conditions are enforced by the penalty function convention; however, inappropriate penalty parameters easily generate… read more here.
Keywords: theory solution; scheme; dda based; variational inequality ... See more keywords
The Photovoltaic Output Prediction Based on Variational Mode Decomposition and Maximum Relevance Minimum Redundancy
Sign Up to like & getrecommendations! Published in 2019 at "Applied Sciences"
DOI: 10.3390/app9173593
Abstract: Photovoltaic output is affected by solar irradiance, ambient temperature, instantaneous cloud cluster, etc., and the output sequence shows obvious intermittent and random features, which creates great difficulty for photovoltaic output prediction. Aiming at the problem… read more here.
Keywords: photovoltaic output; output; output prediction; based variational ... See more keywords
Epileptic Seizure Detection Based on Variational Mode Decomposition and Deep Forest Using EEG Signals
Sign Up to like & getrecommendations! Published in 2022 at "Brain Sciences"
DOI: 10.3390/brainsci12101275
Abstract: Electroencephalography (EEG) records the electrical activity of the brain, which is an important tool for the automatic detection of epileptic seizures. It is certainly a very heavy burden to only recognize EEG epilepsy manually, so… read more here.
Keywords: based variational; deep forest; seizure detection; detection ... See more keywords
Optimizing Few-Shot Learning Based on Variational Autoencoders
Sign Up to like & getrecommendations! Published in 2021 at "Entropy"
DOI: 10.3390/e23111390
Abstract: Despite the importance of few-shot learning, the lack of labeled training data in the real world makes it extremely challenging for existing machine learning methods because this limited dataset does not well represent the data… read more here.
Keywords: shot learning; based variational; shot; variational autoencoders ... See more keywords
High-Dimensional Variable Selection for Quantile Regression Based on Variational Bayesian Method
Sign Up to like & getrecommendations! Published in 2023 at "Mathematics"
DOI: 10.3390/math11102232
Abstract: The quantile regression model is widely used in variable relationship research of moderate sized data, due to its strong robustness and more comprehensive description of response variable characteristics. With the increase of data size and… read more here.
Keywords: based variational; regression; high dimensional; quantile regression ... See more keywords