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UAI
2008
13 years 8 months ago
Hybrid Variational/Gibbs Collapsed Inference in Topic Models
Variational Bayesian inference and (collapsed) Gibbs sampling are the two important classes of inference algorithms for Bayesian networks. Both have their advantages and disadvant...
Max Welling, Yee Whye Teh, Bert Kappen
SECON
2008
IEEE
14 years 1 months ago
A First Step Towards Dynamic Profiling of Sensor-Based Systems
Application specific tuning has been shown to be beneficial for a variety of platforms, sensor-based systems are no exception. However, accurately capturing external stimuli or mo...
Srihari Sridharan, Susan Lysecky
CEC
2007
IEEE
13 years 11 months ago
An ant system with steps counter for the job shop scheduling problem
In this paper, we present an ant system algorithm variant designed to solve the job shop scheduling problem. The proposed approach is based on a recent biological study which showe...
Emanuel Tellez-Emiquez, Efrén Mezura-Montes...
IPPS
1998
IEEE
13 years 11 months ago
Virtual FPGAs: Some Steps Behind the Physical Barriers
Recent advances in FPGA technologies allow to configure the RAM-based FPGA devices in a reduced time as an effective support for real-time applications. The physical dimensions of ...
William Fornaciari, Vincenzo Piuri
ICCV
1999
IEEE
14 years 9 months ago
Finding People by Sampling
We show how to use a sampling method to find sparsely clad people in static images. People are modeled as an assembly of nine cylindrical segments. Segments are found using an EM ...
Sergey Ioffe, David A. Forsyth