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ICTAI
2010
IEEE
15 years 3 months ago
Unsupervised Greedy Learning of Finite Mixture Models
This work deals with a new technique for the estimation of the parameters and number of components in a finite mixture model. The learning procedure is performed by means of a expe...
Nicola Greggio, Alexandre Bernardino, Cecilia Lasc...
CVPR
2012
IEEE
13 years 9 months ago
Bridging the past, present and future: Modeling scene activities from event relationships and global rules
This paper addresses the discovery of activities and learns the underlying processes that govern their occurrences over time in complex surveillance scenes. To this end, we propos...
Jagannadan Varadarajan, Rémi Emonet, Jean-M...
SMA
2005
ACM
167views Solid Modeling» more  SMA 2005»
16 years 1 days ago
Boolean operations on 3D selective Nef complexes: optimized implementation and experiments
Nef polyhedra in d-dimensional space are the closure of half-spaces under boolean set operation. In consequence, they can represent non-manifold situations, open and closed sets, ...
Peter Hachenberger, Lutz Kettner
APGV
2006
ACM
144views Visualization» more  APGV 2006»
15 years 10 months ago
Efficient selective rendering of participating media
Realistic image synthesis is the process of computing photorealistic images which are perceptually and measurably indistinguishable from real-world images. In order to obtain high...
Oscar Anson, Veronica Sundstedt, Diego Gutierrez, ...
ML
2000
ACM
244views Machine Learning» more  ML 2000»
15 years 6 months ago
Learnable Evolution Model: Evolutionary Processes Guided by Machine Learning
A new class of evolutionary computation processes is presented, called Learnable Evolution Model or LEM. In contrast to Darwinian-type evolution that relies on mutation, recombinat...
Ryszard S. Michalski