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searching for Data augmentation 27 found (54 total)

OpenRefine (828 words) [view diff] case mismatch in snippet view article find links to article

documentation". Retrieved 18 April 2012. "Screencast: Google Refine 2.0 - Data Augmentation (3 of 3) - using Openstreetmap Nominatim for geocoding and Freebase

StyleGAN (1,854 words) [view diff] exact match in snippet view article find links to article

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

Idio (490 words) [view diff] exact match in snippet view article find links to article

Customer Insight (preference and behavioral web analytics, and CRM data augmentation) These modules deliver a range of solutions, including the following:

Mode collapse (1,123 words) [view diff] exact match in snippet view article find links to article

such as in image synthesis (repetitive or near-identical images); data augmentation (limited diversity in synthetic data); scientific simulations (failure

Generalized inverse Gaussian distribution (1,357 words) [view diff] exact match in snippet view article find links to article

Pal, Subhadip; Gaskins, Jeremy (23 May 2022). "Modified Pólya-Gamma data augmentation for Bayesian analysis of directional data". Journal of Statistical

Spoofing attack (2,208 words) [view diff] exact match in snippet view article find links to article

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

PRESS statistic (444 words) [view diff] case mismatch in snippet view article find links to article

Allen, D. M. (1974), "The Relationship Between Variable Selection and Data Augmentation and a Method for Prediction," Technometrics, 16, 125–127 Tarpey, Thaddeus

Time series (5,855 words) [view diff] case mismatch in snippet view article find links to article

Souza, Douglas Baptista de; Leao, Bruno Paes (5 November 2024). "Data Augmentation of Multivariate Sensor Time Series using Autoregressive Models and

Sylvia Frühwirth-Schnatter (357 words) [view diff] exact match in snippet view article find links to article

Journal of econometrics, 183(1), 31–57. Frühwirth‐Schnatter, S. (1994). Data augmentation and dynamic linear models. Journal of time series analysis, 15(2)

Wing Hung Wong (255 words) [view diff] case mismatch in snippet view article find links to article

Award and Lectureship. "The Calculation of Posterior Distributions by Data Augmentation". Journal of the American Statistical Association. 82(398): 528-540

Voice phishing (3,463 words) [view diff] exact match in snippet view article find links to article

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

List of probability distributions (2,620 words) [view diff] exact match in snippet view article find links to article

Pal, Subhadip; Gaskins, Jeremy (23 May 2022). "Modified Pólya-Gamma data augmentation for Bayesian analysis of directional data". Journal of Statistical

Dynamic range compression (4,695 words) [view diff] case mismatch in snippet view article find links to article

Juan Pablo (March 2017). "Deep Convolutional Neural Networks and Data Augmentation for Environmental Sound Classification". IEEE Signal Processing Letters

Active users (4,349 words) [view diff] exact match in snippet view article find links to article

"Understanding repeat playing behavior in casual games using a Bayesian data augmentation approach". Quantitative Marketing and Economics. Lovell N (October

Hana Abdullah Alnuaim (1,234 words) [view diff] case mismatch in snippet view article find links to article

Detection Approach: Fine-Tuned Contrastive Self-Supervised Learning for Data Augmentation. International Journal of Data Science and Analytics. Prince Bandar

Exponential family random graph models (3,848 words) [view diff] exact match in snippet view article find links to article

exponential random graph (p-star) models with missing data using Bayesian data augmentation". Statistical Methodology. 7 (3): 366–384. doi:10.1016/j.stamet.2009

Amos Storkey (613 words) [view diff] exact match in snippet view article find links to article

Fuego to play.[circular reference] Antoniou A, Storkey A, Edwards H. Data augmentation generative adversarial networks. arXiv preprint arXiv:1711.04340.

Google Neural Machine Translation (1,733 words) [view diff] case mismatch in snippet view article find links to article

the tiny Edge with Tapered FixEd PoiNT". arXiv:2104.02233 [cs.LG]. "Data Augmentation | How to use Deep Learning when you have Limited Data". May 19, 2021

Linear discriminant analysis (6,045 words) [view diff] exact match in snippet view article find links to article

Discriminant Analysis (LDA) can help select more discriminative samples for data augmentation, improving classification performance. In biology, similar principles

Reverse image search (3,016 words) [view diff] exact match in snippet view article find links to article

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

Quantitative structure–activity relationship (4,616 words) [view diff] case mismatch in snippet view article find links to article

CL]. Bjerrum, Esben Jannik (17 May 2017). "SMILES Enumeration as Data Augmentation for Neural Network Modeling of Molecules". arXiv:1703.07076 [cs.LG]

Deepfake (19,792 words) [view diff] exact match in snippet view article find links to article

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

NSynth (814 words) [view diff] case mismatch in snippet view article find links to article

Datasets. Retrieved 2022-11-08. Ramires, António; Serra, Xavier (2019). "Data Augmentation for Instrument Classification Robust to Audio Effects". arXiv:1907

Lyndon Smith (academic) (1,202 words) [view diff] case mismatch in snippet view article

F.; Smith, M. L. (July 2020). Deep 3D Face Recognition using 3D Data Augmentation and Transfer Learning. 16th International Conference on Machine Learning

Nick Feamster (1,956 words) [view diff] case mismatch in snippet view article find links to article

Bronzino, Francesco; Feamster, Nick (2024). "NetDiffusion: Network Data Augmentation Through Protocol-Constrained Traffic Generation". Proceedings of the

Modified half-normal distribution (1,797 words) [view diff] exact match in snippet view article find links to article

Subhadip; Gaskins, Jeremy (2 November 2022). "Modified Pólya-Gamma data augmentation for Bayesian analysis of directional data". Journal of Statistical

Gérard G. Medioni (1,715 words) [view diff] exact match in snippet view article find links to article

worked on face recognition technology. He proposed domain-specific data augmentation as a more accessible way to improve face recognition, achieving performance