Self-paced Data Augmentation for Training Neural Networks
Sign Up to like & getrecommendations! Published in 2021 at "Neurocomputing"
DOI: 10.1016/j.neucom.2021.02.080
Abstract: Data augmentation is widely used for machine learning; however, an effective method to apply data augmentation has not been established even though it includes several factors that should be tuned carefully. One such factor is… read more here.
Keywords: augmentation training; self paced; augmentation; data augmentation ... See more keywords
Full waveform inversion as training a neural network
Sign Up to like & getrecommendations! Published in 2023 at "Physica Scripta"
DOI: 10.1088/1402-4896/accbb6
Abstract: Full waveform inversion (FWI) is usually solved as a nonlinear least-squares problem to minimize the discrepancy between the recorded signal and the synthetic data by some gradient-based optimization methods. In this paper, we investigate acoustic… read more here.
Keywords: neural network; network; training neural; full waveform ... See more keywords
Iterative Training of Neural Networks for Intra Prediction
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tip.2020.3038348
Abstract: This paper presents an iterative training of neural networks for intra prediction in a block-based image and video codec. First, the neural networks are trained on blocks arising from the codec partitioning of images, each… read more here.
Keywords: iterative training; networks intra; neural networks; intra prediction ... See more keywords