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Recognizing Events with Temporal Random Forests by David Demirdjian; Chenna Varri is a scholarly article available to read on EtoBox.

What is Recognizing Events with Temporal Random Forests about?

In this paper, we present a novel technique for classifying multimodal temporal events. Our main contribution is the introduction of temporal random forests (TRFs), an extension of random forests (and decision trees in general) to the time domain. The approach is relatively simple and able to discriminatively learn event classes while performing feature selection in an implicit fashion. We describe here our ongoing research and present experiments performed on gesture and audio-visual speech recognition datasets comparing our method against state-of-the-art algorithms.

Author

David Demirdjian; Chenna Varri

Publisher

ACM

Published

2009

Language

EN