Detection of Fusarium Damaged Kernels in Wheat Using Deep Semi-Supervised Learning on a Novel WheatSeedBelt Dataset.
Keyhan NajafianLingling JinH. Randy KutcherMackenzie HladunSamuel HorovatinMaria Alejandra Oviedo-LudenaSheila Maria Pereira De AndradeLipu WangIan StavnessPublished in: ICCV (Workshops) (2023)
Keyphrases
- semi supervised learning
- uci datasets
- semi supervised
- unlabeled data
- multiple kernel learning
- labeled data
- supervised learning
- semi supervised classification
- learning problems
- machine learning
- unsupervised learning
- training data
- co training
- object detection
- label propagation
- manifold regularization
- learning models
- active learning
- kernel function
- pairwise
- semi supervised learning algorithms
- graph based semi supervised learning
- domain adaptation
- opinion detection
- missing data
- learning environment
- similarity measure
- clustering algorithm
- information retrieval