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    NIPS
    1993
    134views Information Technology» more  NIPS 1993»
    Using Local Trajectory Optimizers to Speed Up Global Optimization in Dynamic Programming
    14 years 11 months ago
    Using Local Trajectory Optimizers to Speed Up Global Optimization in Dynamic Programming
    Download  www.cs.cmu.edu
    Dynamic programming provides a methodology to develop planners and controllers for nonlinear systems. However, general dynamic programming is computationally intractable. We have ...
    Christopher G. Atkeson
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    UAI
    2003
    154views Artificial Intelligence» more  UAI 2003»
    Learning Continuous Time Bayesian Networks
    14 years 11 months ago
    Learning Continuous Time Bayesian Networks
    Download  robotics.stanford.edu
    Continuous time Bayesian networks (CTBN) describe structured stochastic processes with finitely many states that evolve over continuous time. A CTBN is a directed (possibly cycli...
    Uri Nodelman, Christian R. Shelton, Daphne Koller
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    ICINCO
    2004
    165views Robotics» more  ICINCO 2004»
    Active Sensing Strategies for Robotic Platforms, with an Application in Vision-Based Gripping
    14 years 11 months ago
    Active Sensing Strategies for Robotic Platforms, with an Application in Vision-Based Gripping
    Download  www5.informatik.uni-erlangen.de
    : We present a vision-based robotic system which uses a combination of several active sensing strategies to grip a free-standing small target object with an initially unknown posit...
    Benjamin Deutsch, Frank Deinzer, Matthias Zobel, J...
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    ICML
    2005
    IEEE
    91views Machine Learning» more  ICML 2005»
    Fast inference and learning in large-state-space HMMs
    15 years 10 months ago
    Fast inference and learning in large-state-space HMMs
    Download  www.ri.cmu.edu
    For Hidden Markov Models (HMMs) with fully connected transition models, the three fundamental problems of evaluating the likelihood of an observation sequence, estimating an optim...
    Sajid M. Siddiqi, Andrew W. Moore
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    ICML
    2005
    IEEE
    99views Machine Learning» more  ICML 2005»
    Object correspondence as a machine learning problem
    15 years 10 months ago
    Object correspondence as a machine learning problem
    Download  www.machinelearning.org
    We propose machine learning methods for the estimation of deformation fields that transform two given objects into each other, thereby establishing a dense point to point correspo...
    Bernhard Schölkopf, Florian Steinke, Volker B...
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