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» Improving Gradient Estimation by Incorporating Sensor Data
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ICDM
2007
IEEE
145views Data Mining» more  ICDM 2007»
13 years 11 months ago
Using Data Mining to Estimate Missing Sensor Data
Estimating missing sensor values is an inherent problem in sensor network applications; however, existing data estimation approaches do not apply well to the context of datastream...
Le Gruenwald, Hamed Chok, Mazen Aboukhamis
DAGM
2006
Springer
13 years 7 months ago
Pose Estimation from Uncertain Omnidirectional Image Data Using Line-Plane Correspondences
Abstract. Omnidirectional vision is highly beneficial for robot navigation. We present a novel perspective pose estimation for omnidirectional vision involving a parabolic central ...
Christian Gebken, Antti Tolvanen, Gerald Sommer
DCOSS
2009
Springer
13 years 11 months ago
Fast Self-stabilization for Gradients
Abstract. Gradients are distributed distance estimates used as a building block in many sensor network applications. In large or long-lived deployments, it is important for the est...
Jacob Beal, Jonathan Bachrach, Daniel Vickery, Mar...
NN
2010
Springer
125views Neural Networks» more  NN 2010»
13 years 3 months ago
Parameter-exploring policy gradients
We present a model-free reinforcement learning method for partially observable Markov decision problems. Our method estimates a likelihood gradient by sampling directly in paramet...
Frank Sehnke, Christian Osendorfer, Thomas Rü...
ISRR
2005
Springer
178views Robotics» more  ISRR 2005»
13 years 10 months ago
Improved Estimation of Target Velocity Using Multiple Model Estimation and a Dynamic Bayesian Network for a Robotic Tracker of O
A vision-based automatic tracking system for ocean animals in the midwater has been demonstrated in Monterey Bay, CA. Currently, the input to this system is a measurement of relati...
Aaron Plotnik, Stephen Rock