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    SIVP
    2008
    135views more  SIVP 2008»
    DRM: dynamic region matching for image retrieval using probabilistic fuzzy matching and boosting feature selection
    13 years 5 months ago
    DRM: dynamic region matching for image retrieval using probabilistic fuzzy matching and boosting feature selection
    Download  www.jdl.ac.cn
    Rongrong Ji, Hongxun Yao, Dawei Liang
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    ICMCS
    2007
    IEEE
    159views Multimedia» more  ICMCS 2007»
    Boosting Face Retrieval by using Relevant Set Correlation Clustering
    13 years 11 months ago
    Boosting Face Retrieval by using Relevant Set Correlation Clustering
    Download  satoh-lab.ex.nii.ac.jp
    We present a method to improve the performance of face retrieval in news videos by using the relevant-set correlation (RSC) clustering model. In this method, faces of a person are...
    Duy-Dinh Le, Shin'ichi Satoh, Michael E. Houle
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    ICASSP
    2007
    IEEE
    170views Signal Processing» more  ICASSP 2007»
    Integrating Relevance Feedback in Boosting for Content-Based Image Retrieval
    13 years 11 months ago
    Integrating Relevance Feedback in Boosting for Content-Based Image Retrieval
    Download  www.cs.utsa.edu
    Many content-based image retrieval applications suffer from small sample set and high dimensionality problems. Relevance feedback is often used to alleviate those problems. In thi...
    Jie Yu, Yijuan Lu, Yuning Xu, Nicu Sebe, Qi Tian
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    EMNLP
    2009
    163views Natural Language Processing» more  EMNLP 2009»
    Parser Adaptation and Projection with Quasi-Synchronous Grammar Features
    13 years 3 months ago
    Parser Adaptation and Projection with Quasi-Synchronous Grammar Features
    Download  www.aclweb.org
    We connect two scenarios in structured learning: adapting a parser trained on one corpus to another annotation style, and projecting syntactic annotations from one language to ano...
    David A. Smith, Jason Eisner
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    EWCBR
    2004
    Springer
    148views Automated Reasoning» more  EWCBR 2004»
    Feature Selection and Generalisation for Retrieval of Textual Cases
    13 years 10 months ago
    Feature Selection and Generalisation for Retrieval of Textual Cases
    Download  www.math.bas.bg
    Textual CBR systems solve problems by reusing experiences that are in textual form. Knowledge-rich comparison of textual cases remains an important challenge for these systems. How...
    Nirmalie Wiratunga, Ivan Koychev, Stewart Massie
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