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» Mining Trajectory Patterns Using Hidden Markov Models
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AR
2011
14 years 5 months ago
Learning, Generation and Recognition of Motions by Reference-Point-Dependent Probabilistic Models
This paper presents a novel method for learning object manipulation such as rotating an object or placing one object on another. In this method, motions are learned using referenc...
Komei Sugiura, Naoto Iwahashi, Hideki Kashioka, Sa...
ICASSP
2011
IEEE
14 years 1 months ago
Gesture-based Dynamic Bayesian Network for noise robust speech recognition
Previously we have proposed different models for estimating articulatory gestures and vocal tract variable (TV) trajectories from synthetic speech. We have shown that when deploye...
Vikramjit Mitra, Hosung Nam, Carol Y. Espy-Wilson,...
ICPR
2006
IEEE
15 years 11 months ago
Unusual Event Detection via Multi-camera Video Mining
This paper describes a framework for detecting unusual events in surveillance videos. Most surveillance systems consist of multiple video streams, but traditional event detection ...
Hanning Zhou, Don Kimber
ICDM
2002
IEEE
173views Data Mining» more  ICDM 2002»
15 years 2 months ago
Mining Genes in DNA Using GeneScout
In this paper, we present a new system, called GeneScout, for predicting gene structures in vertebrate genomic DNA. The system contains specially designed hidden Markov models (HM...
Michael M. Yin, Jason Tsong-Li Wang
LOCA
2007
Springer
15 years 4 months ago
SocialMotion: Measuring the Hidden Social Life of a Building
In this paper we present an approach to analyzing the social behaviors that occur in a typical office space. We describe a system consisting of over 200 motion sensors connected ...
Christopher Richard Wren, Yuri A. Ivanov, Ishwinde...