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    NIPS
    1994
    264views Information Technology» more  NIPS 1994»
    An Input Output HMM Architecture
    13 years 9 months ago
    An Input Output HMM Architecture
    Download  www.dsi.unifi.it
    We introduce a recurrent architecture having a modular structure and we formulate a training procedure based on the EM algorithm. The resulting model has similarities to hidden Ma...
    Yoshua Bengio, Paolo Frasconi
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    ICIP
    2007
    IEEE
    213views Image Processing» more  ICIP 2007»
    Multicues 2D Articulated Pose Tracking using Particle Filtering and Belief Propagation on Factor Graphs
    14 years 9 months ago
    Multicues 2D Articulated Pose Tracking using Particle Filtering and Belief Propagation on Factor Graphs
    Download  perso.rd.francetelecom.fr
    This paper describes a method for articulated upper body tracking in monocular scenes. The compatibility between model and the image is estimated using one particle filter for eac...
    Philippe Noriega, Olivier Bernier
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    NIPS
    2007
    165views Information Technology» more  NIPS 2007»
    Expectation Maximization and Posterior Constraints
    13 years 9 months ago
    Expectation Maximization and Posterior Constraints
    Download  www.seas.upenn.edu
    The expectation maximization (EM) algorithm is a widely used maximum likelihood estimation procedure for statistical models when the values of some of the variables in the model a...
    João Graça, Kuzman Ganchev, Ben Task...
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    COLING
    2008
    117views Computational Linguistics» more  COLING 2008»
    Improving Statistical Machine Translation using Lexicalized Rule Selection
    13 years 9 months ago
    Improving Statistical Machine Translation using Lexicalized Rule Selection
    Download  mtgroup.ict.ac.cn
    This paper proposes a novel lexicalized approach for rule selection for syntax-based statistical machine translation (SMT). We build maximum entropy (MaxEnt) models which combine ...
    Zhongjun He, Qun Liu, Shouxun Lin
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    ICANNGA
    2007
    Springer
    129views Algorithms» more  ICANNGA 2007»
    Multi-class Support Vector Machines Based on Arranged Decision Graphs and Particle Swarm Optimization for Model Selection
    13 years 11 months ago
    Multi-class Support Vector Machines Based on Arranged Decision Graphs and Particle Swarm Optimization for Model Selection
    Download  agamenon.tsc.uah.es
    Abstract. The use of support vector machines for multi-category problems is still an open field to research. Most of the published works use the one-against-rest strategy, but with...
    Javier Acevedo, Saturnino Maldonado-Bascón,...
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