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ICDE
2008
IEEE
139views Database» more  ICDE 2008»
15 years 11 months ago
Simultaneous Equation Systems for Query Processing on Continuous-Time Data Streams
We introduce Pulse, a framework for processing continuous queries over models of continuous-time data, which can compactly and accurately represent many real-world activities and p...
Jennie Rogers, Olga Papaemmanouil, Ugur Çet...
SMA
2010
ACM
181views Solid Modeling» more  SMA 2010»
14 years 4 months ago
Threshold selection in jump-discriminant filter for discretely observed jump processes
Threshold estimation is one of the useful techniques in the inference for jump-type stochastic processes from discrete observations. In this method, a jump-discriminant filter is ...
Yasutaka Shimizu
AROBOTS
2011
14 years 4 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
79
Voted
AUTOMATICA
2006
87views more  AUTOMATICA 2006»
14 years 9 months ago
Modeling continuous-time processes via input-to-state filters
A direct algorithm to estimate continuous-time ARMA (CARMA) models is proposed in this paper. In this approach, we first pass the observed data through an input-to-state filter an...
Kaushik Mahata, Minyue Fu
72
Voted
CORR
2006
Springer
81views Education» more  CORR 2006»
14 years 9 months ago
Universal Filtering via Hidden Markov Modeling
The problem of discrete universal filtering, in which the components of a discrete signal emitted by an unknown source and corrupted by a known discrete memoryless channel (DMC) ar...
Taesup Moon, Tsachy Weissman