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    MTA
    2010
    116views more  MTA 2010»
    Performing content-based retrieval of humans using gait biometrics
    13 years 4 months ago
    Performing content-based retrieval of humans using gait biometrics
    Download  eprints.ecs.soton.ac.uk
    In order to analyse surveillance video, we need to efficiently explore large datasets containing videos of walking humans. At survei llance-image resolution, the human walk (their ...
    Sina Samangooei, Mark S. Nixon
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    MM
    2005
    ACM
    209views Multimedia» more  MM 2005»
    Learning an image-word embedding for image auto-annotation on the nonlinear latent space
    13 years 11 months ago
    Learning an image-word embedding for image auto-annotation on the nonlinear latent space
    Download  www.ee.columbia.edu
    Latent Semantic Analysis (LSA) has shown encouraging performance for the problem of unsupervised image automatic annotation. LSA conducts annotation by keywords propagation on a l...
    Wei Liu, Xiaoou Tang
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    ICWSM
    2009
    183views Internet Technology» more  ICWSM 2009»
    A Categorical Model for Discovering Latent Structure in Social Annotations
    13 years 3 months ago
    A Categorical Model for Discovering Latent Structure in Social Annotations
    Download  faculty.cse.tamu.edu
    The advent of social tagging systems has enabled a new community-based view of the Web in which objects like images, videos, and Web pages are annotated by thousands of users. Und...
    Said Kashoob, James Caverlee, Ying Ding
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    MIR
    2005
    ACM
    197views Multimedia» more  MIR 2005»
    Enhanced ontologies for video annotation and retrieval
    13 years 11 months ago
    Enhanced ontologies for video annotation and retrieval
    Download  www.micc.unifi.it
    A typical way to perform video annotation requires to classify video elements (e.g. events and objects) according to some pre-defined ontology of the video content domain. Ontolo...
    Marco Bertini, Alberto Del Bimbo, Carlo Torniai
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    SDM
    2011
    SIAM
    370views Data Mining» more  SDM 2011»
    Sparse Latent Semantic Analysis
    12 years 8 months ago
    Sparse Latent Semantic Analysis
    Download  www.cs.cmu.edu
    Latent semantic analysis (LSA), as one of the most popular unsupervised dimension reduction tools, has a wide range of applications in text mining and information retrieval. The k...
    Xi Chen, Yanjun Qi, Bing Bai, Qihang Lin, Jaime G....
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