A multimedia retrieval framework based on semi-supervised ranking and relevance feedback
We present a new framework for multimedia content analysis and retrieval which consists of two independent algorithms. First, we propose a new semi-supervised algorithm called ranking with Local Regression and Global Alignment (LRGA) to learn a robust Laplacian matrix for data ranking. In LRGA, for...
| Main Authors: | , , , , , |
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| מחברים אחרים: | |
| פורמט: | Journal Article |
| שפה: | English |
| יצא לאור: |
2013
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| נושאים: | |
| גישה מקוונת: | https://hdl.handle.net/10356/99348 http://hdl.handle.net/10220/13497 |