What Makes Objects Similar: A Unified Multi-Metric Learning Approach
–Neural Information Processing Systems
Linkages are essentially determined by similarity measures that may be derived from multiple perspectives. For example, spatial linkages are usually generated based on localities of heterogeneous data, whereas semantic linkages can come from various properties, such as different physical meanings behind social relations. Many existing metric learning models focus on spatial linkages, but leave the rich semantic factors unconsidered. Similarities based on these models are usually overdetermined on linkages.
Neural Information Processing Systems
Mar-12-2024, 14:30:28 GMT
- Country:
- North America
- United States
- Rhode Island > Providence County
- Providence (0.04)
- Massachusetts
- Middlesex County > Cambridge (0.05)
- Suffolk County > Boston (0.04)
- Georgia > Fulton County
- Atlanta (0.04)
- Florida
- Palm Beach County > Boca Raton (0.04)
- Miami-Dade County > Miami (0.04)
- Rhode Island > Providence County
- Canada > Quebec
- Montreal (0.04)
- United States
- Europe
- United Kingdom > England
- Bristol (0.04)
- Spain > Catalonia
- Barcelona Province > Barcelona (0.04)
- France > Hauts-de-France
- United Kingdom > England
- Asia
- Middle East > Israel
- Haifa District > Haifa (0.04)
- China
- Jiangsu Province > Nanjing (0.04)
- Beijing > Beijing (0.04)
- Middle East > Israel
- North America
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