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JMLR
2006
169views more  JMLR 2006»
13 years 7 months ago
Bayesian Network Learning with Parameter Constraints
The task of learning models for many real-world problems requires incorporating domain knowledge into learning algorithms, to enable accurate learning from a realistic volume of t...
Radu Stefan Niculescu, Tom M. Mitchell, R. Bharat ...
VISUALIZATION
1991
IEEE
13 years 11 months ago
A Scientific Visualization Synthesizer
or vectors at every mesh point may lead to a very cluttered image. Continuous coloring or data mapping, on the other hand, provide a smooth representation of the data. The use of t...
Roger Crawfis, M. J. Allison
INFOCOM
2007
IEEE
14 years 1 months ago
Landmark Selection and Greedy Landmark-Descent Routing for Sensor Networks
—We study the problem of landmark selection for landmark-based routing in a network of fixed wireless communication nodes. We present a distributed landmark selection algorithm ...
An Nguyen, Nikola Milosavljevic, Qing Fang, Jie Ga...
JFR
2007
163views more  JFR 2007»
13 years 7 months ago
Real-time localization and elevation mapping within urban search and rescue scenarios
Urban Search And Rescue (USAR) is a time critical task. Rescue teams have to explore a large terrain within a short amount of time in order to locate survivors after a disaster. O...
Alexander Kleiner, Christian Dornhege
PAMI
2010
215views more  PAMI 2010»
13 years 5 months ago
Fusion Moves for Markov Random Field Optimization
—The efficient application of graph cuts to Markov Random Fields (MRFs) with multiple discrete or continuous labels remains an open question. In this paper, we demonstrate one p...
Victor S. Lempitsky, Carsten Rother, Stefan Roth, ...