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AROBOTS
2011
14 years 8 months ago
Learning GP-BayesFilters via Gaussian process latent variable models
Abstract— GP-BayesFilters are a general framework for integrating Gaussian process prediction and observation models into Bayesian filtering techniques, including particle filt...
Jonathan Ko, Dieter Fox
DATE
2009
IEEE
167views Hardware» more  DATE 2009»
15 years 8 months ago
Analyzing the impact of process variations on parametric measurements: Novel models and applications
Abstract—In this paper we propose a novel statistical framework to model the impact of process variations on semiconductor circuits through the use of process sensitive test stru...
Sherief Reda, Sani R. Nassif
110
Voted
AIPS
2008
15 years 4 months ago
HiPPo: Hierarchical POMDPs for Planning Information Processing and Sensing Actions on a Robot
Flexible general purpose robots need to tailor their visual processing to their task, on the fly. We propose a new approach to this within a planning framework, where the goal is ...
Mohan Sridharan, Jeremy L. Wyatt, Richard Dearden
ICDE
2008
IEEE
103views Database» more  ICDE 2008»
16 years 3 months ago
Processing Diagnosis Queries: A Principled and Scalable Approach
Abstract-- Many popular Web sites suffer occasional uservisible problems such as slow responses, blank pages or error messages being displayed, items not being added to shopping ca...
Shivnath Babu, Songyun Duan, Kamesh Munagala
ICNS
2007
IEEE
15 years 8 months ago
A Case Study-based Performance Evaluation Framework for CSCF Processes on a Blade-Server
Abstract— The study of protocol behavior and traffic characteristics in a simulated environment is commonly supported by ad-hoc or general purpose simulators (e.g., Opnet, NS-2)...
Preetam Ghosh, Nirmalya Roy, Kalyan Basu, Sajal K....