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» Hidden Markov Models with Multiple Observation Processes
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IJCAI
2003
15 years 5 months ago
Taming Decentralized POMDPs: Towards Efficient Policy Computation for Multiagent Settings
The problem of deriving joint policies for a group of agents that maximize some joint reward function can be modeled as a decentralized partially observable Markov decision proces...
Ranjit Nair, Milind Tambe, Makoto Yokoo, David V. ...
ICIP
2009
IEEE
16 years 5 months ago
Detection Of Forgery In Paintings Using Supervised Learning
This paper examines whether machine learning and image analysis tools can be used to assist art experts in the authentication of unknown or disputed paintings. Recent work on this...
ICML
2006
IEEE
16 years 5 months ago
Data association for topic intensity tracking
We present a unified model of what was traditionally viewed as two separate tasks: data association and intensity tracking of multiple topics over time. In the data association pa...
Andreas Krause, Jure Leskovec, Carlos Guestrin
PERCOM
2006
ACM
15 years 10 months ago
Groupanizer: a Method to Correlate Multi-users Position with Daily Moments
Groupanizer is an extension of groupware and constitutes a development platform to integrate user-centric information for the benefit of groupware applications. User-centric conte...
Jean Olivier Caron, Yoshihiro Kawahara, Hiroyuki M...
ICASSP
2009
IEEE
15 years 11 months ago
Complex NMF: A new sparse representation for acoustic signals
This paper presents a new sparse representation for acoustic signals which is based on a mixing model defined in the complex-spectrum domain (where additivity holds), and allows ...
Hirokazu Kameoka, Nobutaka Ono, Kunio Kashino, Shi...