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CORR
2007
Springer
130views Education» more  CORR 2007»
14 years 9 months ago
Lagrangian Relaxation for MAP Estimation in Graphical Models
Abstract— We develop a general framework for MAP estimation in discrete and Gaussian graphical models using Lagrangian relaxation techniques. The key idea is to reformulate an in...
Jason K. Johnson, Dmitry M. Malioutov, Alan S. Wil...
ICIP
2008
IEEE
15 years 3 months ago
Boosted Interactively Distributed Particle Filter for automatic multi-object tracking
In this paper, we propose a Boosted Interactively Distributed Particle Filter (BIDPF) to address the problem of automatic multi-object tracking in the application of player tracki...
Yi Wu, Xiaofeng Tong, Yimin Zhang, Hanqing Lu
67
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ICC
2007
IEEE
145views Communications» more  ICC 2007»
15 years 3 months ago
Distributed Optimization for Utility-Energy Tradeoff in Wireless Sensor Networks
Abstract— Wireless sensor networks (WSNs) are energyconstrained in nature, in this paper, we formulate the problem of data transport in sensor networks as a network utility maxim...
Shengbin Liao, Wenqing Cheng, Wei Liu, Zongkai Yan...
KDD
1998
ACM
442views Data Mining» more  KDD 1998»
15 years 1 months ago
BAYDA: Software for Bayesian Classification and Feature Selection
BAYDA is a software package for flexible data analysis in predictive data mining tasks. The mathematical model underlying the program is based on a simple Bayesian network, the Na...
Petri Kontkanen, Petri Myllymäki, Tomi Siland...
CORR
2007
Springer
144views Education» more  CORR 2007»
14 years 9 months ago
Distributing the Kalman Filter for Large-Scale Systems
This paper derives a near optimal distributed Kalman filter to estimate a large-scale random field monitored by a network of N sensors. The field is described by a sparsely con...
Usman A. Khan, José M. F. Moura