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AAAI
1997
15 years 8 months ago
Effective Bayesian Inference for Stochastic Programs
In this paper, we propose a stochastic version of a general purpose functional programming language as a method of modeling stochastic processes. The language contains random choi...
Daphne Koller, David A. McAllester, Avi Pfeffer
VMV
2000
206views Visualization» more  VMV 2000»
15 years 8 months ago
Extension of Incomplete 3D for Arbitrary Multi-View-Synthesis
The proposed approach is motivated by applications which allow user navigation and individual viewpoint specification in shared virtual environments with telepresence quality. In ...
Eddie Cooke, Oliver Schreer, Bernhard Pasewaldt, P...
CASCON
1996
196views Education» more  CASCON 1996»
15 years 8 months ago
Monitoring overhead in distributed systems: visualization and estimation techniques
Monitoring distributed systems involves the collection, analysis, and display of interactions among managed objects. These functions are carried out by the components of a monitor...
Hasina Abdu, Hanan Lutfi Lutfiyya, Michael A. Baue...
GECCO
2008
Springer
111views Optimization» more  GECCO 2008»
15 years 7 months ago
Single-objective front optimization: application to rf circuit design
This paper proposes a new algorithm which promotes well distributed non-dominated fronts in the parameters space when a single-objective function is optimized. This algorithm is b...
Eduardo José Solteiro Pires, Luís Me...
CVPR
2010
IEEE
15 years 6 months ago
Learning kernels for variants of normalized cuts: Convex relaxations and applications
We propose a new algorithm for learning kernels for variants of the Normalized Cuts (NCuts) objective – i.e., given a set of training examples with known partitions, how should ...
Lopamudra Mukherjee, Vikas Singh, Jiming Peng, Chr...