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    » Semiautomatic Labelling of Semantic Features
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    MVA
    2007
    112views Computer Vision» more  MVA 2007»
    Probabilistically Semantic Labeling of IR Image for UAV
    13 years 9 months ago
    Probabilistically Semantic Labeling of IR Image for UAV
    Download  b2.cvl.iis.u-tokyo.ac.jp
    Applying computer vision technology to IR (Infra-Red) images for UAV (Unmanned Aerial Vehicle) applications is difficult due to its characteristics which differ from common image ...
    Teng Li, Jihwan Woo, In-So Kweon
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    CVPR
    2010
    IEEE
    957views Computer Vision» more  CVPR 2010»
    Single Image Depth Estimation From Predicted Semantic Labels
    14 years 4 months ago
    Single Image Depth Estimation From Predicted Semantic Labels
    Download  www.stanford.edu
    We consider the problem of estimating the depth of each pixel in a scene from a single monocular image. Unlike traditional approaches [18, 19], which attempt to map from appearanc...
    Beyang Liu, Stephen Gould, Daphne Koller
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    NIPS
    2008
    189views Information Technology» more  NIPS 2008»
    A "Shape Aware" Model for semi-supervised Learning of Objects and its Context
    13 years 9 months ago
    A "Shape Aware" Model for semi-supervised Learning of Objects and its Context
    Download  www.cis.upenn.edu
    We present an approach that combines bag-of-words and spatial models to perform semantic and syntactic analysis for recognition of an object based on its internal appearance and i...
    Abhinav Gupta, Jianbo Shi, Larry S. Davis
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    ACL
    2004
    134views Computational Linguistics» more  ACL 2004»
    Chinese Verb Sense Discrimination Using an EM Clustering Model with Rich Linguistic Features
    13 years 9 months ago
    Chinese Verb Sense Discrimination Using an EM Clustering Model with Rich Linguistic Features
    Download  acl.ldc.upenn.edu
    This paper discusses the application of the Expectation-Maximization (EM) clustering algorithm to the task of Chinese verb sense discrimination. The model utilized rich linguistic...
    Jinying Chen, Martha Stone Palmer
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    ACL
    2010
    145views Computational Linguistics» more  ACL 2010»
    Open-Domain Semantic Role Labeling by Modeling Word Spans
    13 years 5 months ago
    Open-Domain Semantic Role Labeling by Modeling Word Spans
    Download  www.cis.temple.edu
    Most supervised language processing systems show a significant drop-off in performance when they are tested on text that comes from a domain significantly different from the domai...
    Fei Huang, Alexander Yates
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