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EMMCVPR
2001
Springer
14 years 2 months ago
A Hierarchical Markov Random Field Model for Figure-Ground Segregation
To segregate overlapping objects into depth layers requires the integration of local occlusion cues distributed over the entire image into a global percept. We propose to model thi...
Stella X. Yu, Tai Sing Lee, Takeo Kanade
IASSE
2003
13 years 11 months ago
An Intelligent System for Seismic Source Localization
In a stationary sensor situation, locating signals arriving from different directions can be achieved by using multiple sensors placed at different locations. Different methods fo...
Ramzi W. Elkhater, Evangelos A. Yfantis, John Istl...
ADBIS
2010
Springer
142views Database» more  ADBIS 2010»
13 years 4 months ago
Towards a Model for the Multidimensional Analysis of Field Data
Integration of spatial data into multidimensional models leads to the concept of Spatial OLAP (SOLAP). Usually, SOLAP models exploit discrete spatial data. Few works integrate cont...
Sandro Bimonte, Myoung-Ah Kang
JASIS
2011
103views more  JASIS 2011»
13 years 4 months ago
Using global mapping to create more accurate document-level maps of research fields
We describe two general approaches to creating document-level maps of science. To create a local map one defines and directly maps a sample of data, such as all literature publish...
Richard Klavans, Kevin W. Boyack
TSP
2010
13 years 4 months ago
Randomized and distributed self-configuration of wireless networks: two-layer Markov random fields and near-optimality
Abstract--This work studies the near-optimality versus the complexity of distributed configuration management for wireless networks. We first develop a global probabilistic graphic...
Sung-eok Jeon, Chuanyi Ji