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Learning from One and Only One Shot
Using simply the nearest-neighbor classifier on this similarity space, we achieve human-level character recognition using only 1--10 examples per class and nothing else (no pre-training).
A Group-Theoretic Approach to Computational Abstraction: Symmetry-Driven Hierarchical Clustering
Abstraction plays a key role in concept learning and knowledge discovery; this paper is concerned with computational abstraction.
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