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» Maximum Likelihood Identification of a Dynamic Robot Model
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ICRA
2010
IEEE
101views Robotics» more  ICRA 2010»
14 years 8 months ago
Searching for objects: Combining multiple cues to object locations using a maximum entropy model
— In this paper, we consider the problem of how background knowledge about usual object arrangements can be utilized by a mobile robot to more efficiently find an object in an ...
Dominik Joho, Wolfram Burgard
ICIP
2000
IEEE
15 years 11 months ago
Terrain Feature Identification by Modeling Radar Image Statistics
In this paper we propose a new statistical model for SAR images. According to this model, the SAR image amplitude follows a product of Rayleigh and Bessel functions. We derive the...
Adrian G. Bors, Edwin R. Hancock, Richard C. Wilso...
JGS
2010
106views more  JGS 2010»
14 years 4 months ago
On vector autoregressive modeling in space and time
Despite the fact that it provides a potentially useful analytical tool, allowing for the joint modeling of dynamic interdependencies within a group of connected areas, until latel...
Valter Di Giacinto
AUTOMATICA
2008
123views more  AUTOMATICA 2008»
14 years 9 months ago
Identification with stochastic sampling time jitter
This work investigates how stochastic sampling jitter noise affects the result of system identification, and proposes a modification of known approaches to mitigate the effects of...
Frida Eng, Fredrik Gustafsson
ISBI
2004
IEEE
15 years 10 months ago
Simultaneous Estimation of Kinetic Parameters and the Input Function from DCE-MRI Data: Theory and Simulation
DCE-MRI is a noninvasive functional imaging technique capable of assessing tumor microvasculature clinically. Major limitations associated with conventional region-of-interest (RO...
Zhu Han, Z. Jane Wang, K. J. Ray Liu, Yue Wang