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ICPR
2006
IEEE
16 years 7 months ago
Combining Generative and Discriminative Methods for Pixel Classification with Multi-Conditional Learning
It is possible to broadly characterize two approaches to probabilistic modeling in terms of generative and discriminative methods. Provided with sufficient training data the discr...
B. Michael Kelm, Chris Pal, Andrew McCallum
157
Voted
SIGGRAPH
1997
ACM
15 years 10 months ago
A framework for realistic image synthesis
Our goal is to develop physically based lighting models and perceptually based rendering procedures for computer graphics that will produce synthetic images that are visually and ...
Donald P. Greenberg, Kenneth E. Torrance, Peter Sh...
191
Voted
CLOUD
2010
ACM
15 years 11 months ago
Nephele/PACTs: a programming model and execution framework for web-scale analytical processing
We present a parallel data processor centered around a programming model of so called Parallelization Contracts (PACTs) and the scalable parallel execution engine Nephele [18]. Th...
Dominic Battré, Stephan Ewen, Fabian Hueske...
KDD
2012
ACM
222views Data Mining» more  KDD 2012»
13 years 8 months ago
Rise and fall patterns of information diffusion: model and implications
The recent explosion in the adoption of search engines and new media such as blogs and Twitter have facilitated faster propagation of news and rumors. How quickly does a piece of ...
Yasuko Matsubara, Yasushi Sakurai, B. Aditya Praka...
KBSE
2007
IEEE
16 years 12 days ago
Scalable automatic test data generation from modeling diagrams
We explore the automatic generation of test data that respect constraints expressed in the Object-Role Modeling (ORM) language. ORM is a popular conceptual modeling language, prim...
Yannis Smaragdakis, Christoph Csallner, Ranjith Su...