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» Using a Non-prior Training Active Feature Model
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174
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SIGKDD
2010
259views more  SIGKDD 2010»
14 years 11 months ago
Activity recognition using cell phone accelerometers
Mobile devices are becoming increasingly sophisticated and the latest generation of smart cell phones now incorporates many diverse and powerful sensors. These sensors include GPS...
Jennifer R. Kwapisz, Gary M. Weiss, Samuel Moore
119
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AIED
2007
Springer
15 years 10 months ago
Comparing Linguistic Features for Modeling Learning in Computer Tutoring
We compare the relative utility of different automatically computable linguistic feature sets for modeling student learning in computer dialogue tutoring. We use the PARADISE frame...
Katherine Forbes-Riley, Diane J. Litman, Amruta Pu...
ICPR
2000
IEEE
15 years 8 months ago
Acoustic and Facial Features for Speaker Recognition
This paper gives an insight into biometrics used for speaker recognition. Three different biometrics are presented, based on: acoustic, geometric lip, and holistic facial features...
Matthew Roach, Jason Brand, John S. Mason
CVPR
2008
IEEE
16 years 6 months ago
Pan, zoom, scan - Time-coherent, trained automatic video cropping
We present a method to fully automatically fit videos in 16:9 format on 4:3 screens and vice versa. It can be applied to arbitrary aspect ratios and can be used to make videos sui...
Thomas Deselaers, Philippe Dreuw, Hermann Ney
ICASSP
2011
IEEE
14 years 7 months ago
Automatic speech recognition using Hidden Conditional Neural Fields
Hidden Conditional Random Fields(HCRF) is a very promising approach to model speech. However, because HCRF computes the score of a hypothesis by summing up linearly weighted featu...
Yasuhisa Fujii, Kazumasa Yamamoto, Seiichi Nakagaw...