Selective Attention for Handwritten Digit Recognition (original) (raw)

1995

Abstract

Completely parallel object recognition is NP-complete. Achievinga recognizer with feasible complexity requires a compromise betweenparallel and sequential processing where a system selectivelyfocuses on parts of a given image, one after another. Successivefixations are generated to sample the image and these samples areprocessed and abstracted to generate a temporal context in whichresults are integrated over time. A computational model based on apartially recurrent feedforward network is proposed and made credibleby ...

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