Data augmentation is a statistical technique which allows maximum likelihood estimation from incomplete data. Data augmentation has important applications...

invertible data augmentations are found in the paper. SinGAN pushes data augmentation to the limit, by using only a single image as training data and performing...

science, a data structure is a data organization and storage format that is usually chosen for efficient access to data. More precisely, a data structure...

single convolutional neural network trained on MNIST training data using no data augmentation is 0.25 percent error rate. Also, the Parallel Computing Center...

such as loading data or data ingestion, data fusion, data cleaning, data augmentation, and data delivery. The issues to be dealt with fall into two main...

learning, where more synthetic data is generated for minority class examples that are harder to learn. Data augmentation in data analysis are techniques used...

knowledge base with the updated information" (augmentation). By dynamically integrating relevant data, RAG enables LLMs to generate more informed and...

for policy augmentation. Personalized diabetic treatments can be created through GlucoMe's big data solution. Examples of uses of big data in public services:...

extensive data augmentation algorithms. The essential job of this system is to find a balance between fixing dirty data and maintaining the data as close...

synthesis (repetitive or near-identical images); data augmentation (limited diversity in synthetic data); scientific simulations (failure to explore all...

the SVM admits a Bayesian interpretation through the technique of data augmentation. In this approach the SVM is viewed as a graphical model (where the...

In medicine, breast augmentation and augmentation mammoplasty are terms that describe a cosmetic surgery procedure that uses either a breast implant or...

No data augmentation or regularization, except for the Large V2 model, which used SpecAugment, Stochastic Depth, and BPE Dropout. Training used data parallelism...

objects such as vegetation. In ML training for classifying images, data augmentation is a common practice to avoid overfitting and increase the training...

anti-aliasing before downsampling operations, spatial transformer networks, data augmentation, subsampling combined with pooling, and capsule neural networks. The...

adversarial network Representation learning Sparse dictionary learning Data augmentation Backpropagation Kingma, Diederik P.; Welling, Max (2022-12-10). "Auto-Encoding...

Augmentation of a global navigation satellite system (GNSS) is a method of improving the navigation system's attributes, such as precision, reliability...

provide a flexible and efficient framework for data augmentation in computer vision tasks. Data augmentation is a technique that involves artificially expanding...

makes it potentially useful for data anonymization and data augmentation, in which the visual features of image data are changed and anonymized. The same...

The Wide Area Augmentation System (WAAS) is an air navigation aid developed by the Federal Aviation Administration to augment the Global Positioning System...

stands for "adaptive"), which uses invertible data augmentation. It also tunes the amount of data augmentation applied by starting at zero, and gradually...

Jonathon; Le, Quoc V. (2020). "Randaugment: Practical Automated Data Augmentation With a Reduced Search Space": 702–703. arXiv:1909.13719. {{cite journal}}:...

three times during training, ending at 10−5. It used two forms of data augmentation, both computed on the fly on the CPU, thus "computationally free":...

Inbal; Aflalo, Eran; Permuter, Haim H. (June 2022). "A study on data augmentation in voice anti-spoofing". Speech Communication. 141: 56–67. arXiv:2110...

systems are operational: India's NavIC and Japan's QZSS. Satellite-based augmentation systems (SBAS), designed to enhance the accuracy of GNSS, include Japan's...

Jeremy (23 May 2022). "Modified Pólya-Gamma data augmentation for Bayesian analysis of directional data". Journal of Statistical Computation and Simulation...

deployed in production environment, including image synthesis-based data augmentation for retrieval performance optimization and accuracy improvement. Microsoft...

Analysis". Data Science for Transportation. 6 (3): Article 24. doi:10.1007/s42421-024-00109-x. hdl:20.500.11850/695425. "Data Augmentation - deeplearning...

Inbal; Aflalo, Eran; Permuter, Haim H. (June 2022). "A study on data augmentation in voice anti-spoofing". Speech Communication. 141: 56–67. arXiv:2110...

early demonstration of representation learning, sensor fusion, and data augmentation. ALVINN was a 3-layer fully connected feedforward network trained...