


Few Shot Object Recognition
This lecture overviews Few Shot Object Recognition that has many applications in image classification, when few training data are available. It covers the following topics in detail: Few-shot Image Learning definitions and methods.



Moving Image Perception
This lecture overviews Moving Image Perception that has many applications in video acquisition, processing and coding. It covers the following topics in detail: Human Vision Modeling.



Continual Learning
This lecture overviews Continual Learning that has many applications in DNN training and adaptation.



Transfer Learning
This lecture overviews Transfer Learning (TL) that has many applications in DNN training and adaptation, Image Understanding, Text Mining, Activity Recognition, Bioinformatics, Transportation.



Genomic Signal Analysis
This lecture overviews Genomic Signal Analysis that has many applications in Bioinformatics, Biology and Medicine. It covers the following topics in detail: DSP Algorithms for Genomic Sequences.



Domain Adaptation
This lecture overviews Domain Adaptation that has many applications in DNN training and adaptation.