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CVIU
2004
132views more  CVIU 2004»
15 years 6 months ago
Layered representations for learning and inferring office activity from multiple sensory channels
We present the use of layered probabilistic representations for modeling human activities, and describe how we use the representation to do sensing, learning, and inference at mul...
Nuria Oliver, Ashutosh Garg, Eric Horvitz
CVPR
2009
IEEE
17 years 1 months ago
Max-Margin Hidden Conditional Random Fields for Human Action Recognition
We present a new method for classification with structured latent variables. Our model is formulated using the max-margin formalism in the discriminative learning literature. We...
Yang Wang 0003, Greg Mori
ICASSP
2011
IEEE
14 years 10 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...
FOSSACS
2003
Springer
15 years 11 months ago
Manipulating Trees with Hidden Labels
We define an operational semantics and a type system for manipulating semistructured data that contains hidden information. The data model is simple labeled trees with a hiding op...
Luca Cardelli, Philippa Gardner, Giorgio Ghelli
GLOBECOM
2007
IEEE
16 years 21 days ago
Access Delay Analysis of IEEE 802.11 DCF in the Presence of Hidden Stations
—In this paper, we present an analytical model to evaluate the hidden station effect on the access delay of the IEEE 802.11 Distributed Coordination Function (DCF) in both non-sa...
Fu-Yi Hung, Ivan Marsic