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INFFUS
2008
97views more  INFFUS 2008»
15 years 3 months ago
Using classifier ensembles to label spatially disjoint data
act 11 We describe an ensemble approach to learning from arbitrarily partitioned data. The partitioning comes from the distributed process12 ing requirements of a large scale simul...
Larry Shoemaker, Robert E. Banfield, Lawrence O. H...
SMA
2008
ACM
192views Solid Modeling» more  SMA 2008»
15 years 2 months ago
Identification of sections from engineering drawings based on evidence theory
View identification is the basal process for solid reconstruction from engineering drawings. A new method is presented to label various views from a section-involved drawing and i...
Jie-Hui Gong, Hui Zhang, Bin Jiang, Jia-Guang Sun
KESAMSTA
2009
Springer
15 years 10 months ago
An Approximate Model for Bidders in Sequential Automated Auctions
In this paper, we propose a probabilistic model to study the interaction of bidder and seller agents in sequential automated auctions. We consider a designated “special bidder”...
Erol Gelenbe, Kumaara Velan
KR
2004
Springer
15 years 9 months ago
Knowledge Discovery by Reversing Inductive Knowledge Representation
In a very basic sense, the aim of knowledge discovery is to reveal structures of knowledge which can be seen as being represented by structural relationships. In this paper, we ma...
Gabriele Kern-Isberner, Jens Fisseler
TOG
2010
134views more  TOG 2010»
14 years 10 months ago
Unbiased, adaptive stochastic sampling for rendering inhomogeneous participating media
Realistic rendering of participating media is one of the major subjects in computer graphics. Monte Carlo techniques are widely used for realistic rendering because they provide u...
Yonghao Yue, Kei Iwasaki, Bing-Yu Chen, Yoshinori ...