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» Structure learning of Bayesian networks using constraints
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ICMCS
2005
IEEE
173views Multimedia» more  ICMCS 2005»
15 years 5 months ago
A Multi-Modal Mixed-State Dynamic Bayesian Network for Robust Meeting Event Recognition from Disturbed Data
In this work we present a novel multi-modal mixed-state dynamic Bayesian network (DBN) for robust meeting event classification. The model uses information from lapel microphones,...
Marc Al-Hames, Gerhard Rigoll
TIT
2008
95views more  TIT 2008»
14 years 11 months ago
Distributed Estimation Via Random Access
The problem of distributed Bayesian estimation is considered in the context of a wireless sensor network. The Bayesian estimation performance is analyzed in terms of the expected F...
Animashree Anandkumar, Lang Tong, Ananthram Swami
ISNN
2005
Springer
15 years 5 months ago
Post-nonlinear Blind Source Separation Using Neural Networks with Sandwiched Structure
Abstract. This paper proposes a novel algorithm based on informax for postnonlinear blind source separation. The demixing system culminates to a neural network with sandwiched stru...
Chunhou Zheng, Deshuang Huang, Zhan-Li Sun, Li Sha...
CORR
2010
Springer
162views Education» more  CORR 2010»
14 years 10 months ago
Networked Computing in Wireless Sensor Networks for Structural Health Monitoring
Abstract—This paper studies the problem of distributed computation over a network of wireless sensors. While this problem applies to many emerging applications, to keep our discu...
Apoorva Jindal, Mingyan Liu
ICML
2004
IEEE
16 years 19 days ago
Large margin hierarchical classification
We present an algorithmic framework for supervised classification learning where the set of labels is organized in a predefined hierarchical structure. This structure is encoded b...
Ofer Dekel, Joseph Keshet, Yoram Singer