Papers with AMOSA
Incorporating Deep Visual Features into Multiobjective based Multi-view Search Results Clustering (C18-1)
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| Challenge: | Existing approaches to search result clustering use multiple views and visual and textual views. |
| Approach: | They propose to use multi-view learning to learn search results from web-snippets . they propose to obtain a single consensus partitioning after consulting two views . |
| Outcome: | The proposed approach on a benchmark dataset shows that visual and text-based views can achieve better clustering. |