A State-of-the-Art Computer Vision Adopting Non-Euclidean Deep-Learning Models.
Sakib H. ChowdhuryMd. Robius SanyMd. Hafiz AhamedSajal K. DasFaisal R. BadalPrangon DasZinat TasneemMd. Mehedi HasanMd. Robiul IslamMd. Firoj AliSarafat Hussain AbhiMd. Manirul IslamSubrata K. SarkerPublished in: Int. J. Intell. Syst. (2023)
Keyphrases
- learning models
- computer vision
- machine learning
- learning algorithm
- loss function
- learning tasks
- semi supervised learning
- object recognition
- classification models
- learning problems
- conditional random fields
- image processing
- machine learning algorithms
- machine learning models
- sparse metric learning
- learning paradigms
- pattern recognition
- image features
- unlabeled data
- probabilistic model
- active learning
- recommender systems
- learning process
- training set
- feature extraction
- image segmentation
- data sets