Databases Reference
In-Depth Information
3.5 Significance of One-Shot Learning
In this chapter, one-shot learning was presented. The significance of a learn-
ing mechanism in an Internet-scale environment cannot be understated. Cur-
rent pattern recognition implementations cannot deny that the recognition ef-
ficiency can adapt to an increasing scale of data through this one-shot learning
mechanism. A scheme that can implement learning using the fewest number of
possible steps is admirable. An example of such a scheme, Graph Neuron pat-
tern recognition, was presented. Although the implementation has limitations,
we believe that the concept should be further explored and its capabilities ex-
tended.
