Multi-tensor completion with shared factors from multiple\\ sources
نویسندگان
چکیده
منابع مشابه
Multi-tensor Completion with Common Structures
In multi-data learning, it is usually assumed that common latent factors exist among multi-datasets, but it may lead to deteriorated performance when datasets are heterogeneous and unbalanced. In this paper, we propose a novel common structure for multi-data learning. Instead of common latent factors, we assume that datasets share Common Adjacency Graph (CAG) structure, which is more robust to ...
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ژورنال
عنوان ژورنال: SCIENTIA SINICA Informationis
سال: 2016
ISSN: 1674-7267
DOI: 10.1360/n112016-00049