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ICIAP
2007
ACM
14 years 7 months ago
Adaptive uncertainty estimation for particle filter-based trackers
In particle filter?based visual trackers, dynamic velocity components are typically incorporated into the state update equations. In these cases, there is a risk that the uncertai...
Andrew D. Bagdanov, Alberto Del Bimbo, Fabrizio Di...
GLVLSI
2006
IEEE
98views VLSI» more  GLVLSI 2006»
14 years 1 months ago
Rapid intermodulation distortion estimation in fully balanced weakly nonlinear Gm-C filters using state-space modeling
State-space modeling of fully differential Gm-C filters with weak nonlinearities is used to develop a fast algorithm for intermodulation distortion estimation. It results in sim...
Paul Sotiriadis, Abdullah Celik, Zhaonian Zhang
IJCAI
2007
13 years 9 months ago
State Space Search for Risk-Averse Agents
We investigate search problems under risk in statespace graphs, with the aim of finding optimal paths for risk-averse agents. We consider problems where uncertainty is due to the...
Patrice Perny, Olivier Spanjaard, Louis-Xavier Sto...
CVPR
2008
IEEE
14 years 9 months ago
Optical flow estimation with uncertainties through dynamic MRFs
In this paper, we propose a novel dynamic discrete framework to address image morphing with application to optical flow estimation. We reformulate the problem using a number of di...
Ben Glocker, Nikos Paragios, Nikos Komodakis, Geor...
AUTOMATICA
2005
103views more  AUTOMATICA 2005»
13 years 7 months ago
Periodic signal analysis by maximum likelihood modeling of orbits of nonlinear ODEs
This paper treats a new approach to the problem of periodic signal estimation. The idea is to model the periodic signal as a function of the state of a second-order nonlinear ordi...
Torsten Söderström, Torbjörn Wigren...