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Proceedings of the 2015 International Conference on Artificial Intelligence and Industrial Engineering
The Bag-of-visual-words (BOVW) model discards image spatial information, and the computing cost is expensive on spatial pyramid matching(SPM) model. Due to sparse coding approach exhibit super performance in information retrieval, hence, we propose a new sparse coding image retrieval algorithm. Using 2 l norm replace 0 l norm in SPM vector quantization. The local information was incorporated into sparse term by local adapter. Sparse coding was transformed into least square convex optimizationdoi:10.2991/aiie-15.2015.7 fatcat:b6ylz3oen5gnlctfseezvhot5a