When is NCD Possibles
Background
How the DNN works: Filters to learn features,
Fundamental difference with visual systems: synthesis novel features, contextual understanding. IID in data
What is NCD: learning novel features from unlabeled data.
NCD Conditions and their Impacts
The current conditions that helps to solve the problem
Details of the assumptions and their necessity
Counter examples: Human bias in annotation? and fuzzy decision
Importance of the conditions
Causality connections
Learning vs Filtering