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    ICRA
    2008
    IEEE
    185views Robotics» more  ICRA 2008»
    Human detection using multimodal and multidimensional features
    14 years 2 months ago
    Human detection using multimodal and multidimensional features
    Download  www.informatik.uni-freiburg.de
    — This paper presents a novel human detection method based on a Bayesian fusion approach using laser range data and camera images. Laser range data analysis groups data points wi...
    Luciano Spinello, Roland Siegwart
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    RAS
    2006
    86views more  RAS 2006»
    Using cellular automata and gradients to control self-reconfiguration
    13 years 7 months ago
    Using cellular automata and gradients to control self-reconfiguration
    Download  www.mip.sdu.dk
    Self-reconfigurable robots are built from modules, which are autonomously able to change the way they are connected. Such a robot can, through this self-reconfiguration process, c...
    Kasper Støy
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    JCB
    2007
    144views more  JCB 2007»
    Statistical Estimation of Statistical Mechanical Models: Helix-Coil Theory and Peptide Helicity Prediction
    13 years 7 months ago
    Statistical Estimation of Statistical Mechanical Models: Helix-Coil Theory and Peptide Helicity Prediction
    Download  www.stat.duke.edu
    Analysis of biopolymer sequences and structures generally adopts one of two approaches: use of detailed biophysical theoretical models of the system with experimentally-determined...
    Scott C. Schmidler, Joseph E. Lucas, Terrence G. O...
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    GECCO
    2009
    Springer
    135views Optimization» more  GECCO 2009»
    Neuroevolutionary reinforcement learning for generalized helicopter control
    14 years 2 months ago
    Neuroevolutionary reinforcement learning for generalized helicopter control
    Download  www.science.uva.nl
    Helicopter hovering is an important challenge problem in the field of reinforcement learning. This paper considers several neuroevolutionary approaches to discovering robust cont...
    Rogier Koppejan, Shimon Whiteson
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    ESANN
    2007
    134views Neural Networks» more  ESANN 2007»
    Classifying n-back EEG data using entropy and mutual information features
    13 years 9 months ago
    Classifying n-back EEG data using entropy and mutual information features
    Download  www.physics.brown.edu
    In this work we show that entropy (H) and mutual information (MI) can be used as methods for extracting spatially localized features for classification purposes. In order to incre...
    Liang Wu, Predrag Neskovic, Etienne Reyes, Elena F...
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