Unsupervised statistical models for general object recognition
We approach the object recognition problem as the process of attaching meaningful labels to specific regions of an image. Given a set of images and their captions, we segment the images, in either a crude or sophisticated fashion, then learn the proper associations between words and regions. Previou...
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| Language: | English |
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2009
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| Online Access: | http://hdl.handle.net/2429/14543 |