Computation of heterogeneous object co-embeddings from relational measurements
作者：
Highlights：
• Analysis of arbitrary relational information between heterogeneous objects.
• Explicit generation of co-embeddings directly from relational measurements.
• High efficiency due to simple matrix decomposition and a small set of parameters.
• Simple scheme to implement the model identification of the parameters.
• Multiple comparisons with synthetic and real-world datasets, and existing algorithms.
摘要
•Analysis of arbitrary relational information between heterogeneous objects.•Explicit generation of co-embeddings directly from relational measurements.•High efficiency due to simple matrix decomposition and a small set of parameters.•Simple scheme to implement the model identification of the parameters.•Multiple comparisons with synthetic and real-world datasets, and existing algorithms.
论文关键词：Co-embedding generation,Relational information,Heterogeneous object analysis,Joint space projection.
论文评审过程：Received 24 April 2016, Revised 30 September 2016, Accepted 4 December 2016, Available online 10 December 2016, Version of Record 29 December 2016.
论文官网地址：https://doi.org/10.1016/j.patcog.2016.12.004
