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Object Categorization from Image Search: Caltech 101, PASCAL, PLSA
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| Please note that the content of this book primarily consists of articles
available from Wikipedia or other free sources online. In computer
vision, the problem of object categorization from image search is the
problem of training a classifier to recognize categories of objects,
using only the images retrieved automatically with an Internet search
engine. Ideally, automatic image collection would allow classifiers to
be trained with nothing but the category names as input. This problem is
closely related to that of content-based image retrieval (CBIR), where
the goal is to return better image search results rather than training a
classifier for image recognition. |
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