Statistical vs. visual data generation in hand gesture recognition

A dataset with diverse training data is essence of the hand gesture recognition research. Most of the benchmarked datasets are limited in the number of signers and/or the number of each gesture try, which often result in over-fitting and poor generalization. Overcoming this challenge is often achiev...

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Bibliographische Detailangaben

Hauptverfasser:	Ibrahim, A., Kashef, R.
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Accuracy Gesture recognition Rendering (computer graphics) statistical re-samplin supervised learnin Support vector machines Testing Training data unsupervised learnin validation visual sampling Visualization
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