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    ICCV
    2007
    IEEE
    275views Computer Vision» more  ICCV 2007»
    Learning Multiscale Representations of Natural Scenes Using Dirichlet Processes
    14 years 10 months ago
    Learning Multiscale Representations of Natural Scenes Using Dirichlet Processes
    Download  www.cs.berkeley.edu
    We develop nonparametric Bayesian models for multiscale representations of images depicting natural scene categories. Individual features or wavelet coefficients are marginally de...
    Jyri J. Kivinen, Erik B. Sudderth, Michael I. Jord...
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    UAI
    2004
    135views Artificial Intelligence» more  UAI 2004»
    Blind Construction of Optimal Nonlinear Recursive Predictors for Discrete Sequences
    13 years 10 months ago
    Blind Construction of Optimal Nonlinear Recursive Predictors for Discrete Sequences
    Download  uai.sis.pitt.edu
    We present a new method for nonlinear prediction of discrete random sequences under minimal structural assumptions. We give a mathematical construction for optimal predictors of s...
    Cosma Rohilla Shalizi, Kristina Lisa Shalizi
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    INTERACT
    2003
    152views Human Computer Interaction» more  INTERACT 2003»
    The New Text and Graphical Input Device: Compact Biometrical Data Acquisition
    13 years 10 months ago
    The New Text and Graphical Input Device: Compact Biometrical Data Acquisition
    Download  www.kiv.zcu.cz
    Abstract: Development of new text and graphical input devices is considered to be important part of humancomputer interaction by many researchers worldwide. Our paper presents our ...
    Pen Ondrej Rohlik, Pavel Mautner, Václav Ma...
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    NIPS
    2008
    185views Information Technology» more  NIPS 2008»
    Hierarchical Semi-Markov Conditional Random Fields for Recursive Sequential Data
    13 years 10 months ago
    Hierarchical Semi-Markov Conditional Random Fields for Recursive Sequential Data
    Download  www.computing.edu.au
    Inspired by the hierarchical hidden Markov models (HHMM), we present the hierarchical semi-Markov conditional random field (HSCRF), a generalisation of embedded undirected Markov ...
    Tran The Truyen, Dinh Q. Phung, Hung Hai Bui, Svet...
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    WSDM
    2010
    ACM
    322views Data Mining» more  WSDM 2010»
    Inferring Search Behaviors Using Partially Observable Markov (POM) Model
    14 years 6 months ago
    Inferring Search Behaviors Using Partially Observable Markov (POM) Model
    Download  www.wsdm-conference.org
    This article describes an application of the partially observable Markov (POM) model to the analysis of a large scale commercial web search log. Mathematically, POM is a variant o...
    Kuansan Wang, Nikolas Gloy, Xiaolong Li
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