Decision Forests, Convolutional Networks and the Models in-Between

Abstract

This paper investigates the connections between two state of the art classifiers: decision forests (DFs, including decision jungles) and convolutional neural networks (CNNs). Decision forests are computationally efficient thanks to their conditional computation property (computation is confined to only a small region of the tree, the nodes along a single… (More)

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Citation Velocity: 13

Averaging 13 citations per year over the last 2 years.

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