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» Information Modeling in the Time of the Revolution
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AAAI
2010
15 years 8 months ago
Structure Learning for Markov Logic Networks with Many Descriptive Attributes
Many machine learning applications that involve relational databases incorporate first-order logic and probability. Markov Logic Networks (MLNs) are a prominent statistical relati...
Hassan Khosravi, Oliver Schulte, Tong Man, Xiaoyua...
GRAPHICSINTERFACE
2000
15 years 8 months ago
Using a 3D Puzzle as a Metaphor for Learning Spatial Relations
We introduce a new metaphor for learning spatial relations--the 3D puzzle. With this metaphor users learn spatial relations by assembling a geometric model themselves. For this pu...
Bernhard Preim, Felix Ritter, Oliver Deussen, Thom...
ENTCS
2010
161views more  ENTCS 2010»
15 years 4 months ago
Bone Remodelling in BioShape
Many biological phenomena are inherently multiscale, i.e. they are characterised by interactions involving different scales at the same time. This is the case of bone remodelling,...
Federico Buti, Diletta Cacciagrano, Flavio Corradi...
ICIP
2007
IEEE
16 years 8 months ago
Determining Topology in a Distributed Camera Network
Recently, `entry/exit' events of objects in the field-of-views of cameras were used to learn the topology of the camera network. The integration of object appearance was also...
Xiaotao Zou, Bir Bhanu, Bi Song, Amit K. Roy Chowd...
ICPR
2006
IEEE
16 years 7 months ago
Onset Detection through Maximal Redundancy Detection
We propose a criterion, called `maximal redundancy', for onset detection in time series. The concept redundancy is adopted from information theory and indicates how well a si...
Gert Van Dijck, Marc M. Van Hulle