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Semi-supervised Learning of Joint Density  (Make Corrections)  
Models for Human Pose Estimation Ramanan Navaratnam Andrew Fitzgibbon...



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Abstract: Learning regression models (for example for body pose estimation, or BPE) currently requires large numbers of training examples---pairs of the form (image, pose parameters). These examples are difficult to obtain for many problems, demanding considerable effort in manual labelling. However it is easy to obtain unlabelled examples---in BPE, simply by collecting many images, and by sampling many poses using motion capture. We show how the use of unlabelled examples can improve the... (Update)

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BibTeX entry:   (Update)

@misc{ human-semisupervised,
  author = "Models For Human",
  title = "Semi-supervised Learning of Joint Density",
  url = "citeseer.ist.psu.edu/759017.html" }
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