Complex Feature Recognition: A Bayesian Approach for Learning to Recognize Objects
We have developed a new Bayesian framework for visual object recognition which is based on the insight that images of objects can be modeled as a conjunction of local features. This framework can be used to both derive an object recognition algorithm and an algorithm for learning the features...
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| Language: | en_US |
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2004
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| Online Access: | http://hdl.handle.net/1721.1/5940 |