Results 11 to 20 of about 9,759,453 (201)

Mixed Sample Augmentation for Online Distillation [PDF]

ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2022
Mixed Sample Regularization (MSR), such as MixUp or CutMix, is a powerful data augmentation strategy to generalize convolutional neural networks. Previous empirical analysis has illustrated an orthogonal performance gain between MSR and conventional ...
Yiqing Shen, Liwu Xu, Yuzhe Yang, Yaqian Li, Yandong Guo   +4 more
semanticscholar   +3 more sources

MiAMix: Enhancing Image Classification through a Multi-stage Augmented Mixed Sample Data Augmentation Method [PDF]

Processes, 2023
Despite substantial progress in the field of deep learning, overfitting persists as a critical challenge, and data augmentation has emerged as a particularly promising approach due to its capacity to enhance model generalization in various computer ...
Wen-Chieh Liang, Youzhi Liang, Jianguo Jia   +2 more
semanticscholar   +4 more sources

Sampling constrained probability distributions using Spherical Augmentation [PDF]

, 2015
Statistical models with constrained probability distributions are abundant in machine learning. Some examples include regression models with norm constraints (e.g., Lasso), probit, many copula models, and latent Dirichlet allocation (LDA).
A Beskos, A Beskos, A Gelfand, A Pakman, AE Brockwell, B Leimkuhler, B Shahbaba, C Andrieu, C Hans, C Sherlock, CJ Geyer, D Randal, DM Blei, GH Golub, GO Roberts, GO Roberts, GO Roberts, I Murray, IE Frank, M Girolami, M Spivak, M West, MD Hoffman, N Chopin, NS Pillai, O Cappé, P Mykland, P Neal, P Neal, R Douc, R Tibshirani, RM Neal, RM Neal, RV Craiu, S Amari, S Byrne, S Duane, S Lan, SL Cotter, T Park, WR Gilks, Y Ahmadian   +41 more
core   +3 more sources

Sample Mixed-Based Data Augmentation for Domestic Audio Tagging [PDF]

, 2018
Audio tagging has attracted increasing attention since last decade and has various potential applications in many fields. The objective of audio tagging is to predict the labels of an audio clip.
Kong, Qiuqiang, Liao, Feifan, Wang, Dezhi, Wang, Huaimin, Wei, Shengyun, Xu, Kele   +5 more
core   +4 more sources

Reject Inference, Augmentation and Sample Selection [PDF]

European Journal of Operational Research, 2007
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Banasik, John, Crook, Jonathan
core   +4 more sources

ParticleAugment: Sampling-based data augmentation

Computer Vision and Image Understanding, 2023
8 ...
Tsaregorodtsev, Alexander, Belagiannis, Vasileios   +1 more
openaire   +2 more sources

SSS Underwater Target Image Samples Augmentation Based on the Cross-Domain Mapping Relationship of Images of the Same Physical Object

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023
Side-scan sonar (SSS) image sample augmentation plays an important role in improving the effect of deep-learning-based underwater target detection.
Yulin Tang, Liming Wang, Shaofeng Bian, Shaohua Jin, Yuting Dong, Houpu Li, Bing Ji   +6 more
doaj   +1 more source

Sequence-Level Mixed Sample Data Augmentation [PDF]

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2020
EMNLP ...
Guo, Demi, Kim, Yoon, Rush, Alexander M.
openaire   +2 more sources

Online-Dynamic-Clustering-Based Soft Sensor for Industrial Semi-Supervised Data Streams

Sensors, 2023
In the era of big data, industrial process data are often generated rapidly in the form of streams. Thus, how to process such sequential and high-speed stream data in real time and provide critical quality variable predictions has become a critical issue
Yuechen Wang, Huaiping Jin, Xiangguang Chen, Bin Wang, Biao Yang, Bin Qian   +5 more
doaj   +1 more source

Smart(Sampling)Augment: Optimal and Efficient Data Augmentation for Semantic Segmentation

Algorithms, 2022
Data augmentation methods enrich datasets with augmented data to improve the performance of neural networks. Recently, automated data augmentation methods have emerged, which automatically design augmentation strategies. The existing work focuses on image classification and object detection, whereas we provide the first study on semantic image ...
Misgana Negassi, Diane Wagner, Alexander Reiterer   +2 more
openaire   +4 more sources