<--- Back to Details
First PageDocument Content
Artificial intelligence / Science / Pattern recognition / Speech recognition / Hidden Markov model / Sign language / Statistical classification / Regression analysis / Gesture recognition / Machine learning / User interface techniques / Statistics
Date: 2009-08-09 07:30:35
Artificial intelligence
Science
Pattern recognition
Speech recognition
Hidden Markov model
Sign language
Statistical classification
Regression analysis
Gesture recognition
Machine learning
User interface techniques
Statistics

Rapid Signer Adaptation for Isolated Sign Language Recognition Ulrich von Agris, Daniel Schneider, Jörg Zieren, and Karl-Friedrich Kraiss Institute of Man-Machine Interaction, RWTH Aachen University, Germany {vonagris,s

Add to Reading List

Source URL: www.zieren.de

Download Document from Source Website

File Size: 177,91 KB

Share Document on Facebook

Similar Documents

Study Group “Speech Recognition” WSType Ü2

Study Group “Speech Recognition” WSType Ü2

DocID: 1vo3m - View Document

Laboratory Course “Automatic Speech Recognition” WSType P4

Laboratory Course “Automatic Speech Recognition” WSType P4

DocID: 1vnFG - View Document

Laboratory Course for Main Studies “Automatic Speech Recognition” WSType Schedule / Room ¨ by arrangement /

Laboratory Course for Main Studies “Automatic Speech Recognition” WSType Schedule / Room ¨ by arrangement /

DocID: 1vjhy - View Document

Study Group “Speech Recognition” SS 2013 Type Schedule / Room ¨ U2

Study Group “Speech Recognition” SS 2013 Type Schedule / Room ¨ U2

DocID: 1vjcN - View Document

Study Group “Speech Recognition” SS 2016 Type Ü2

Study Group “Speech Recognition” SS 2016 Type Ü2

DocID: 1vfhA - View Document