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    CVPR
    2004
    IEEE
    340views Computer Vision» more  CVPR 2004»
    3D Human Pose from Silhouettes by Relevance Vector Regression
    14 years 10 months ago
    3D Human Pose from Silhouettes by Relevance Vector Regression
    Download  www.csie.ntu.edu.tw
    We describe a learning based method for recovering 3D human body pose from single images and monocular image sequences. Our approach requires neither an explicit body model nor pr...
    Ankur Agarwal, Bill Triggs
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    ICDM
    2009
    IEEE
    233views Data Mining» more  ICDM 2009»
    Semi-Supervised Sequence Labeling with Self-Learned Features
    14 years 2 months ago
    Semi-Supervised Sequence Labeling with Self-Learned Features
    Download  www.cs.cmu.edu
    —Typical information extraction (IE) systems can be seen as tasks assigning labels to words in a natural language sequence. The performance is restricted by the availability of l...
    Yanjun Qi, Pavel Kuksa, Ronan Collobert, Kunihiko ...
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    AAAI
    2008
    172views Intelligent Agents» more  AAAI 2008»
    A Fast Data Collection and Augmentation Procedure for Object Recognition
    13 years 10 months ago
    A Fast Data Collection and Augmentation Procedure for Object Recognition
    Download  ai.stanford.edu
    When building an application that requires object class recognition, having enough data to learn from is critical for good performance, and can easily determine the success or fai...
    Benjamin Sapp, Ashutosh Saxena, Andrew Y. Ng
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    NIPS
    2003
    116views Information Technology» more  NIPS 2003»
    Unsupervised Context Sensitive Language Acquisition from a Large Corpus
    13 years 9 months ago
    Unsupervised Context Sensitive Language Acquisition from a Large Corpus
    Download  kybele.psych.cornell.edu
    We describe a pattern acquisition algorithm that learns, in an unsupervised fashion, a streamlined representation of linguistic structures from a plain natural-language corpus. Th...
    Zach Solan, David Horn, Eytan Ruppin, Shimon Edelm...
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    VEE
    2012
    ACM
    322views Virtualization» more  VEE 2012»
    Modeling virtualized applications using machine learning techniques
    12 years 3 months ago
    Modeling virtualized applications using machine learning techniques
    Download  www.cl.cam.ac.uk
    With the growing adoption of virtualized datacenters and cloud hosting services, the allocation and sizing of resources such as CPU, memory, and I/O bandwidth for virtual machines...
    Sajib Kundu, Raju Rangaswami, Ajay Gulati, Ming Zh...
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