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    IJCAI
    2007
    222views Artificial Intelligence» more  IJCAI 2007»
    Learning to Walk through Imitation
    13 years 9 months ago
    Learning to Walk through Imitation
    Download  www.cs.washington.edu
    Programming a humanoid robot to walk is a challenging problem in robotics. Traditional approaches rely heavily on prior knowledge of the robot's physical parameters to devise...
    Rawichote Chalodhorn, David B. Grimes, Keith Groch...
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    MVA
    2007
    211views Computer Vision» more  MVA 2007»
    Vision-based UAV Navigation in Mountain Area
    13 years 9 months ago
    Vision-based UAV Navigation in Mountain Area
    Download  b2.cvl.iis.u-tokyo.ac.jp
    Most vision-based UAV (Unmanned Aerial Vehicle) navigation algorithms extract manmade features such as buildings or roads, which are well structured in urban terrain, using the CC...
    Jihwan Woo, Kilho Son, Teng Li, Gwan Sung Kim, In-...
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    NIPS
    2007
    262views Information Technology» more  NIPS 2007»
    Congruence between model and human attention reveals unique signatures of critical visual events
    13 years 9 months ago
    Congruence between model and human attention reveals unique signatures of critical visual events
    Download  books.nips.cc
    Current computational models of bottom-up and top-down components of attention are predictive of eye movements across a range of stimuli and of simple, fixed visual tasks (such a...
    Robert J. Peters, Laurent Itti
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    SODA
    2008
    ACM
    110views Algorithms» more  SODA 2008»
    Why simple hash functions work: exploiting the entropy in a data stream
    13 years 9 months ago
    Why simple hash functions work: exploiting the entropy in a data stream
    Download  www.eecs.harvard.edu
    Hashing is fundamental to many algorithms and data structures widely used in practice. For theoretical analysis of hashing, there have been two main approaches. First, one can ass...
    Michael Mitzenmacher, Salil P. Vadhan
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    SDM
    2007
    SIAM
    104views Data Mining» more  SDM 2007»
    Boosting Optimal Logical Patterns Using Noisy Data
    13 years 9 months ago
    Boosting Optimal Logical Patterns Using Noisy Data
    Download  siam.org
    We consider the supervised learning of a binary classifier from noisy observations. We use smooth boosting to linearly combine abstaining hypotheses, each of which maps a subcube...
    Noam Goldberg, Chung-chieh Shan
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