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    JMLR
    2012
    203views Programming Languages» more  JMLR 2012»
    Maximum Margin Temporal Clustering
    11 years 10 months ago
    Maximum Margin Temporal Clustering
    Download  www.humansensing.cs.cmu.edu
    Temporal Clustering (TC) refers to the factorization of multiple time series into a set of non-overlapping segments that belong to k temporal clusters. Existing methods based on e...
    Minh Hoai Nguyen, Fernando De la Torre
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    JMLR
    2012
    196views Programming Languages» more  JMLR 2012»
    A metric learning perspective of SVM: on the relation of LMNN and SVM
    11 years 10 months ago
    A metric learning perspective of SVM: on the relation of LMNN and SVM
    Download  jmlr.csail.mit.edu
    Support Vector Machines, SVMs, and the Large Margin Nearest Neighbor algorithm, LMNN, are two very popular learning algorithms with quite different learning biases. In this paper...
    Huyen Do, Alexandros Kalousis, Jun Wang, Adam Wozn...
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    TOG
    2012
    245views Communications» more  TOG 2012»
    How do humans sketch objects?
    11 years 10 months ago
    How do humans sketch objects?
    Download  cybertron.cg.tu-berlin.de
    Humans have used sketching to depict our visual world since prehistoric times. Even today, sketching is possibly the only rendering technique readily available to all humans. This...
    Mathias Eitz, James Hays, Marc Alexa
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    CVPR
    2012
    IEEE
    301views Computer Vision» more  CVPR 2012»
    Two-person interaction detection using body-pose features and multiple instance learning
    11 years 10 months ago
    Two-person interaction detection using body-pose features and multiple instance learning
    Download  www.cs.sunysb.edu
    Human activity recognition has potential to impact a wide range of applications from surveillance to human computer interfaces to content based video retrieval. Recently, the rapi...
    Kiwon Yun, Jean Honorio, Debaleena Chattopadhyay, ...
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    JMLR
    2008
    133views more  JMLR 2008»
    Algorithms for Sparse Linear Classifiers in the Massive Data Setting
    13 years 8 months ago
    Algorithms for Sparse Linear Classifiers in the Massive Data Setting
    Download  jmlr.csail.mit.edu
    Classifiers favoring sparse solutions, such as support vector machines, relevance vector machines, LASSO-regression based classifiers, etc., provide competitive methods for classi...
    Suhrid Balakrishnan, David Madigan
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