Multi-structure modelVariational Bayes inferenceRecent works have demonstrated that using a properly structured prior for model-based compressive sensing (CS), can improve the recovery performance. However, there exists the low prior utilisation in previous works. Therefore, in this study, we introduce...
Wavelet and adaptive neuro-fuzzy inference system conjunction model for groundwater level predicting in a coastal aquifer. Neural Comput Appl. 2015;26:1203–15. https://doi.org/10.1007/s00521-014-1794-7. Article Google Scholar Zare M, Koch M. Groundwater level fluctuations simulation and ...
No-inference image sharpness assessment based on wavelet transform and image saliency map 2016 International Conference on Wavelet Analysis and Pattern Recognition (ICWAPR), IEEE (2016), pp. 43-48 Google Scholar Zhu et al., 2015 Z. Zhu, S. Wang, C.E. Woodcock Improvement and expansion of th...
In order to solve these problems, we proposed a fusion method based on double-density dual-tree discrete wavelet transform, which is approximately shift invariant and has more sub-bands per scale for finer frequency decomposition, and fuzzy inference system for fusing wavelet coefficients. This new...
However, to realize a practical and robust inference system, we also need to address troublesome problems, such as parking displacements, non-unified car sizes, inter-object occlusion, and perspective distortion. These problems may become even challenging if also considering the difference of space ...
At the same time, our model’s inference speed reaches 66 FPS, which can basically meet the requirements of real-time inference. While the substantial parameter count could restrict our model’s deployment on embedded and mobile platforms, its significant contribution to the domain of RS image ...
Liu, H., Loh, P.C., Blaabjerg, F.: 'Sub-module Short Circuit Fault Diagnosis in Modular Multilevel Converter Based on Wavelet Transform and Adaptive Neuro Fuzzy Inference System', Electric Power Components and Systems, 2015, pp. 1080-1088....
"Lz-Transform for a Discrete-State Continuous Time Markov Process and its Applicationa to Multi-State System Reliability", in Resent Advance in System Reliability, Recent Advances in System Reliability: Signatures, Multi-state Systems and Statistical Inference, Eds. Lisnianski, A & Frenkel, I,...
For the selection of the regularization value we compared four methods: the 蠂2 criterion and Bayesian inference (already used in sign-restricted MaxEnt-iLT), and the L-curve and the generalized cross-validation methods (not yet used in MaxEnt-iLT to our knowledge). Except for the frequently ...
In: Recent advances in system reliability; signatures, multi-state systems and statistical inference. Springer; 2012.A. Lisnianski, "Lz-transform for a Discrete-state Continuous-time Markov process and its application to multi- state system reliability," in: Recent Advances in System Reliability. ...