Feature representation for large scale classification
Feature representation plays the center role for classification. The extraction of knowledge in data, whether through pre-defined functions or procedures, or through learned projection matrices or neural networks, is crucial for the success of a large scale classification system. In this dissertatio...
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Format: | Thesis |
Language: | English |
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2016
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Online Access: | http://hdl.handle.net/10356/66203 |