Shon, A.P.
* 2003: Probabilistic bilinear models for appearance-based vision
Shon, H.[Hyounguk]
* 2021: Joint Negative and Positive Learning for Noisy Labels
* 2022: DLCFT: Deep Linear Continual Fine-Tuning for General Incremental Learning
* 2022: On the Angular Update and Hyperparameter Tuning of a Scale-Invariant Network
* 2023: Disposable Transfer Learning for Selective Source Task Unlearning
Shon, M.K.[Myoung Kyu]
* 2013: Centralized Gradient Pattern for Face Recognition
Includes: Shon, M.K.[Myoung Kyu] Shon, M.K.[Myoung-Kyu]
Shon, S.[Suwon]
* 2013: Abnormal acoustic event localization based on selective frequency bin in high noise environment for audio surveillance
* 2014: Generalized cross-correlation based noise robust abnormal acoustic event localization utilizing non-negative matrix factorization
* 2015: Maximum likelihood Linear Dimension Reduction of heteroscedastic feature for robust Speaker Recognition
Shon, W.W.[Won Woo]
* 2021: Pathology Deep Learning System Capable of Triage of Melanoma Specimens Utilizing Dermatopathologist Consensus as Ground Truth *, A
Includes: Shon, W.W.[Won Woo] Shon, W.W.[Won-Woo]
Shonkwiler, S.[Sara]
* 2021: Fiber Recognition In Composite Materials
Shontz, S.M.[Suzanne M.]
* 2010: Improved Shape Matching Algorithm for Deformable Objects Using a Global Image Feature, An
* 2021: CNN-Based Cardiac Motion Extraction to Generate Deformable Geometric Left Ventricle Myocardial Models from Cine MRI