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JMLR
2010
134views more  JMLR 2010»
15 years 1 months ago
Inference of Graphical Causal Models: Representing the Meaningful Information of Probability Distributions
This paper studies the feasibility and interpretation of learning the causal structure from observational data with the principles behind the Kolmogorov Minimal Sufficient Statist...
Jan Lemeire, Kris Steenhaut
ICCV
2011
IEEE
14 years 6 months ago
Discriminative Learning of Relaxed Hierarchy for Large-scale Visual Recognition
In the real visual world, the number of categories a classifier needs to discriminate is on the order of hundreds or thousands. For example, the SUN dataset [24] contains 899 sce...
Tianshi Gao, Daphne Koller
JMLR
2012
13 years 9 months ago
Low rank continuous-space graphical models
Constructing tractable dependent probability distributions over structured continuous random vectors is a central problem in statistics and machine learning. It has proven diffic...
Carl Smith, Frank Wood, Liam Paninski
TOG
2012
215views Communications» more  TOG 2012»
13 years 9 months ago
Dual loops meshing: quality quad layouts on manifolds
We present a theoretical framework and practical method for the automatic construction of simple, all-quadrilateral patch layouts on manifold surfaces. The resulting layouts are c...
Marcel Campen, David Bommes, Leif Kobbelt
ELPUB
2006
ACM
16 years 22 days ago
Using a Walk Ontology for Capturing Language Independent Navigation Instructions
Walking is becoming increasingly popular as a leisure activity across Europe. Outdoor equipment has modernized, gained flexibility and lost weight. GPS devices are gaining popular...
Bert Paepen, Jan Engelen