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Content Based classification of multi-dimensional objects with PCA
Based on the inspiration gained in the previous research project at Motorola
Hierarchical classification of multi-dimensional objects such as pictures by using Eigenfaces with varied threshold levels to match the placement among other objects and peers. Further using parallel textual taxonomy representations objects are matched with natural representation as well
To make object based online search possible
Presented a research paper at IET Annual Technical Conference – 2008, Sri Lanka
| Attachment | Size |
|---|---|
| publication_01.pdf | 279.55 KB |
| samples.rar | 475.37 KB |
| results.rar | 90.45 KB |
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