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    KDD
    2012
    ACM
    201views Data Mining» more  KDD 2012»
    Learning from crowds in the presence of schools of thought
    11 years 10 months ago
    Learning from crowds in the presence of schools of thought
    Download  www.cs.cmu.edu
    Crowdsourcing has recently become popular among machine learning researchers and social scientists as an effective way to collect large-scale experimental data from distributed w...
    Yuandong Tian, Jun Zhu
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    KDD
    2006
    ACM
    143views Data Mining» more  KDD 2006»
    Mining long-term search history to improve search accuracy
    14 years 8 months ago
    Mining long-term search history to improve search accuracy
    Download  sifaka.cs.uiuc.edu
    Long-term search history contains rich information about a user's search preferences. In this paper, we study statistical language modeling based methods to mine contextual i...
    Bin Tan, Xuehua Shen, ChengXiang Zhai
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    NIPS
    2008
    194views Information Technology» more  NIPS 2008»
    Recursive Segmentation and Recognition Templates for 2D Parsing
    13 years 9 months ago
    Recursive Segmentation and Recognition Templates for 2D Parsing
    Download  www.cnbc.cmu.edu
    Language and image understanding are two major goals of artificial intelligence which can both be conceptually formulated in terms of parsing the input signal into a hierarchical ...
    Leo Zhu, Yuanhao Chen, Yuan Lin, Chenxi Lin, Alan ...
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    PAMI
    2012
    268views Software Engineering» more  PAMI 2012»
    Recursive Segmentation and Recognition Templates for Image Parsing
    11 years 10 months ago
    Recursive Segmentation and Recognition Templates for Image Parsing
    Download  people.csail.mit.edu
    — Language and image understanding are two major goals of artificial intelligence which can both be conceptually formulated in terms of parsing the input signal into a hierarchi...
    Long Zhu, Yuanhao Chen, Yuan Lin, Chenxi Lin, Alan...
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    CVPR
    2009
    IEEE
    606views Computer Vision» more  CVPR 2009»
    Learning General Optical Flow Subspaces for Egomotion Estimation and Detection of Motion Anomalies
    15 years 2 months ago
    Learning General Optical Flow Subspaces for Egomotion Estimation and Detection of Motion Anomalies
    Download  www.cc.gatech.edu
    This paper deals with estimation of dense optical flow and ego-motion in a generalized imaging system by exploiting probabilistic linear subspace constraints on the flow. We dea...
    Richard Roberts (Georgia Institute of Technology),...
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