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» Approximability of Probability Distributions
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CVPR
2005
IEEE
16 years 7 months ago
Kernel-Based Bayesian Filtering for Object Tracking
Particle filtering provides a general framework for propagating probability density functions in non-linear and non-Gaussian systems. However, the algorithm is based on a Monte Ca...
Bohyung Han, Ying Zhu, Dorin Comaniciu, Larry S. D...
ICDM
2009
IEEE
109views Data Mining» more  ICDM 2009»
15 years 11 months ago
Semi-naive Exploitation of One-Dependence Estimators
—It is well known that the key of Bayesian classifier learning is to balance the two important issues, that is, the exploration of attribute dependencies in high orders for ensu...
Nan Li, Yang Yu, Zhi-Hua Zhou
IAT
2008
IEEE
15 years 11 months ago
Finding Minimum Data Requirements Using Pseudo-independence
In situations where Bayesian networks (BN) inferencing approximation is allowable, we show how to reduce the amount of sensory observations necessary and in a multi-agent context ...
Yoonheui Kim, Victor R. Lesser
INFOCOM
2007
IEEE
15 years 11 months ago
Paradox of Shortest Path Routing for Large Multi-Hop Wireless Networks
— In this paper, we analyze the impact of straight line routing in large homogeneous multi-hop wireless networks. We estimate the nodal load, which is defined as the number of p...
Sungoh Kwon, Ness B. Shroff
3DPVT
2006
IEEE
224views Visualization» more  3DPVT 2006»
15 years 11 months ago
A Bayesian Approach to Building Footprint Extraction from Aerial LIDAR Data
Building footprints have been shown to be extremely useful in urban planning, infrastructure development, and roof modeling. Current methods for creating these footprints are ofte...
Oliver Wang, Suresh K. Lodha, David P. Helmbold