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ROBOCUP
2000
Springer
130views Robotics» more  ROBOCUP 2000»
15 years 10 months ago
Improvement Continuous Valued Q-learning and Its Application to Vision Guided Behavior Acquisition
Q-learning, a most widely used reinforcement learning method, normally needs well-defined quantized state and action spaces to converge. This makes it difficult to be applied to re...
Yasutake Takahashi, Masanori Takeda, Minoru Asada
ICASSP
2011
IEEE
14 years 10 months ago
Adaptive frequency-domain biased estimation algorithms with automatic adjustment of shrinkage factors
In this work, we propose adaptive frequency-domain biased estimation algorithms with mechanisms to automatically adjust the shrinkage factors. The proposed estimation algorithms i...
Sheng Li, Rodrigo C. de Lamare, Martin Haardt
ICCV
2009
IEEE
16 years 6 days ago
Joint Pose Estimator and Feature Learning for Object Detection
A new learning strategy for object detection is presented. The proposed scheme forgoes the need to train a collection of detectors dedicated to homogeneous families of poses, an...
Karim Ali, Francois Fleuret, David Hasler and Pasc...
CRV
2011
IEEE
268views Robotics» more  CRV 2011»
14 years 6 months ago
Feature Tracking Evaluation for Pose Estimation in Underwater Environments
—In this paper we present the computer vision component of a 6DOF pose estimation algorithm to be used by an underwater robot. Our goal is to evaluate which feature trackers enab...
Florian Shkurti, Ioannis M. Rekleitis, Gregory Dud...
ICC
2007
IEEE
146views Communications» more  ICC 2007»
15 years 10 months ago
BER of MIMO-OFDM Systems with Carrier Frequency Offset and Channel Estimation Errors
Abstract-- Performance analysis of Multiple-input Multipleoutput (MIMO) Orthogonal Frequency-Division Multiplexing (OFDM) systems with carrier frequency offset and channel estimati...
Zhongshan Zhang, Wei Zhang, Chintha Tellambura