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ICDE
2008
IEEE
139views Database» more  ICDE 2008»
14 years 6 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»
12 years 11 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
12 years 11 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
AUTOMATICA
2006
87views more  AUTOMATICA 2006»
13 years 4 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
CORR
2006
Springer
81views Education» more  CORR 2006»
13 years 4 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