The applications of sparsity in classification
The real-world data nowadays is usually in high dimension. For example, one data image can be represented as a thousand to million dimension vector. The disadvantage of processing high dimension data is not only in the term of computational complexity but also in the term of non-reliability due to n...
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| Format: | Final Year Project |
| Language: | English |
| Published: |
2011
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| Online Access: | http://hdl.handle.net/10356/44846 |
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| Institution: | Nanyang Technological University |
| Language: | English |