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In this paper , we propose a novel method , called local non-negative matrix factorization -LRB- LNMF -RRB- , for learning spatially localized , parts-based subspace representation of visual patterns .
 used for: method, spatially localized , parts-based subspace representation of visual patterns
Given options, please tell me the relationships of all the listed entity pairs.Output format is "relation1: word1, word2; relation2: word3, word4". 
Option: conjunction, feature of, hyponym of, used for, part of, compare, evaluate for 
Text: {0} 
 Entity Pairs:  method, spatially localized , parts-based subspace representation of visual patterns 
Answer:
 used for: method, spatially localized , parts-based subspace representation of visual patterns