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NIPS
2003
13 years 9 months ago
Maximum Likelihood Estimation of a Stochastic Integrate-and-Fire Neural Model
Recent work has examined the estimation of models of stimulus-driven neural activity in which some linear filtering process is followed by a nonlinear, probabilistic spiking stag...
Jonathan Pillow, Liam Paninski, Eero P. Simoncelli
WSC
2008
13 years 10 months ago
Simulation and optimization for construction repetitive projects using promodel and simrunner
We introduce a new approach, called Relative Start and Idle Time (RSIT), to solve probabilistic scheduling problems of construction repetitive projects. RSIT is a process of deter...
Chachrist Srisuwanrat, Photios G. Ioannou, Omer Ts...
GRAMMARS
2002
119views more  GRAMMARS 2002»
13 years 7 months ago
Computational Complexity of Probabilistic Disambiguation
Recent models of natural language processing employ statistical reasoning for dealing with the ambiguity of formal grammars. In this approach, statistics, concerning the various li...
Khalil Sima'an
WSC
2008
13 years 10 months ago
A study on port design automation concept
In this paper, an automation concept is proposed to facilitate the simulation model building for port design problem. Currently, this process, which includes drawing the terminal ...
Loo Hay Lee, Ek Peng Chew, Hai Xing Cheng, Yongbin...
CVPR
2005
IEEE
14 years 9 months ago
Combining Object and Feature Dynamics in Probabilistic Tracking
Objects can exhibit different dynamics at different scales, and this is often exploited by visual tracking algorithms. A local dynamic model is typically used to extract image fea...
Leonid Taycher, John W. Fisher III, Trevor Darrell