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    SDM
    2008
    SIAM
    134views Data Mining» more  SDM 2008»
    Direct Density Ratio Estimation for Large-scale Covariate Shift Adaptation
    13 years 9 months ago
    Direct Density Ratio Estimation for Large-scale Covariate Shift Adaptation
    Download  sugiyama-www.cs.titech.ac.jp
    Covariate shift is a situation in supervised learning where training and test inputs follow different distributions even though the functional relation remains unchanged. A common...
    Yuta Tsuboi, Hisashi Kashima, Shohei Hido, Steffen...
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    MVA
    2007
    178views Computer Vision» more  MVA 2007»
    Linear Tracking of Pose and Facial Features
    13 years 9 months ago
    Linear Tracking of Pose and Facial Features
    Download  b2.cvl.iis.u-tokyo.ac.jp
    We present an approach for simultaneous monocular 3D face pose and facial animation tracking. The pose and facial features are estimated from observed raw brightness shape-free 2D...
    José Alonso Ybáñez Zepeda, Fr...
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    NAACL
    2007
    132views Computational Linguistics» more  NAACL 2007»
    Unsupervised Natural Language Processing Using Graph Models
    13 years 9 months ago
    Unsupervised Natural Language Processing Using Graph Models
    Download  wortschatz.uni-leipzig.de
    In the past, NLP has always been based on the explicit or implicit use of linguistic knowledge. In classical computer linguistic applications explicit rule based approaches prevai...
    Chris Biemann
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    NIPS
    2007
    146views Information Technology» more  NIPS 2007»
    Optimistic Linear Programming gives Logarithmic Regret for Irreducible MDPs
    13 years 9 months ago
    Optimistic Linear Programming gives Logarithmic Regret for Irreducible MDPs
    Download  books.nips.cc
    We present an algorithm called Optimistic Linear Programming (OLP) for learning to optimize average reward in an irreducible but otherwise unknown Markov decision process (MDP). O...
    Ambuj Tewari, Peter L. Bartlett
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    NIPS
    2007
    201views Information Technology» more  NIPS 2007»
    Fast and Scalable Training of Semi-Supervised CRFs with Application to Activity Recognition
    13 years 9 months ago
    Fast and Scalable Training of Semi-Supervised CRFs with Application to Activity Recognition
    Download  books.nips.cc
    We present a new and efficient semi-supervised training method for parameter estimation and feature selection in conditional random fields (CRFs). In real-world applications suc...
    Maryam Mahdaviani, Tanzeem Choudhury
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