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Owing to these variations , the pedestrian data is distributed as highly-curved manifolds in the feature space , despite the current convolutional neural networks -LRB- CNN -RRB- 's capability of feature extraction .
 used for: highly-curved manifolds, pedestrian data; feature of: feature space, highly-curved manifolds; used for: convolutional neural networks -LRB- CNN -RRB-, feature extraction
Given a phrase that describes the relationship between two words, extract the words and the lexical relationship between them. The output format should be "relation1: word1, word2; relation2: word3, word4". 
Option: conjunction, feature of, hyponym of, used for, part of, compare, evaluate for 
Text: {0} 
Answer:
 used for: highly-curved manifolds, pedestrian data; feature of: feature space, highly-curved manifolds; used for: convolutional neural networks -LRB- CNN -RRB-, feature extraction