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» Event Modeling and Recognition Using Markov Logic Networks
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ICASSP
2011
IEEE
14 years 1 months ago
Arccosine kernels: Acoustic modeling with infinite neural networks
Neural networks are a useful alternative to Gaussian mixture models for acoustic modeling; however, training multilayer networks involves a difficult, nonconvex optimization that...
Chih-Chieh Cheng, Brian Kingsbury
ISWC
2005
IEEE
15 years 3 months ago
Recognizing Mimicked Autistic Self-Stimulatory Behaviors Using HMMs
Children with autism often exhibit self-stimulatory (or “stimming”) behaviors. We present an on-body sensing system for continuous recognition of stimming activity. By creatin...
Tracy L. Westeyn, Kristin Vadas, Xuehai Bian, Thad...
ICPR
2006
IEEE
15 years 10 months ago
A Combined Bayesian Markovian Approach for Behaviour Recognition
Numerous techniques exist which can be used for the task of behavioural analysis and recognition. Common amongst these are Bayesian networks and Hidden Markov Models. Although the...
David Paul Young, James M. Ferryman, Nicholas L. C...
DLOG
2009
14 years 7 months ago
What Happened to Bob? Semantic Data Mining of Context Histories
We report on event recognition within the life logging application IYOUIT for the automatic creation of static diary-like Blogs. Based on the qualitative context histories produced...
Michael Wessel, Marko Luther, Ralf Möller
CVPR
2007
IEEE
15 years 11 months ago
Real-time Gesture Recognition with Minimal Training Requirements and On-line Learning
In this paper, we introduce the semantic network model (SNM), a generalization of the hidden Markov model (HMM) that uses factorization of state transition probabilities to reduce...
Stjepan Rajko, Gang Qian, Todd Ingalls, Jodi James