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    ICRA
    2003
    IEEE
    222views Robotics» more  ICRA 2003»
    Path planning using learned constraints and preferences
    14 years 1 months ago
    Path planning using learned constraints and preferences
    Download  www.cim.mcgill.ca
    — In this paper we present a novel method for robot path planning based on learning motion patterns. A motion pattern is defined as the path that results from applying a set of ...
    Gregory Dudek, Saul Simhon
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    JMLR
    2002
    133views more  JMLR 2002»
    Learning Precise Timing with LSTM Recurrent Networks
    13 years 7 months ago
    Learning Precise Timing with LSTM Recurrent Networks
    Download  jmlr.csail.mit.edu
    The temporal distance between events conveys information essential for numerous sequential tasks such as motor control and rhythm detection. While Hidden Markov Models tend to ign...
    Felix A. Gers, Nicol N. Schraudolph, Jürgen S...
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    HCI
    2009
    225views Human Computer Interaction» more  HCI 2009»
    An Open Source Framework for Real-Time, Incremental, Static and Dynamic Hand Gesture Learning and Recognition
    13 years 5 months ago
    An Open Source Framework for Real-Time, Incremental, Static and Dynamic Hand Gesture Learning and Recognition
    Download  phoenix.fit.edu
    Real-time, static and dynamic hand gesture learning and recognition makes it possible to have computers recognize hand gestures naturally. This creates endless possibilities in the...
    Todd C. Alexander, Hassan S. Ahmed, Georgios C. An...
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    JCST
    2008
    138views more  JCST 2008»
    Predicting Chinese Abbreviations from Definitions: An Empirical Learning Approach Using Support Vector Regression
    13 years 7 months ago
    Predicting Chinese Abbreviations from Definitions: An Empirical Learning Approach Using Support Vector Regression
    Download  www-tsujii.is.s.u-tokyo.ac.jp
    In Chinese, phrases and named entities play a central role in information retrieval. Abbreviations, however, make keyword-based approaches less effective. This paper presents an em...
    Xu Sun, Houfeng Wang, Bo Wang 0003
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    ICASSP
    2011
    IEEE
    261views Signal Processing» more  ICASSP 2011»
    Feature selection based on Multiple Kernel Learning for single-channel sound source localization using the acoustic transfer fun
    12 years 11 months ago
    Feature selection based on Multiple Kernel Learning for single-channel sound source localization using the acoustic transfer fun
    Download  mirlab.org
    This paper presents a sound source (talker) localization method using only a single microphone. In our previous work [1], we discussed the single-channel sound source localization...
    Ryoichi Takashima, Tetsuya Takiguchi, Yasuo Ariki
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