Image retrieval based on K-means clustering and multiple instance learning
Guohua Geng · Journal of Computer Applications · 2011
Aiming at the problem of object-based image retrieval,a novel algorithm named KP-MIL was proposed,which worked in the Multiple Instance Learning(MIL) framework.Firstly,this algorithm clustered the instances in positive set and negative set,and found the potential positive instance and bag structure.Then an alpha coefficient was introduced to trade off between positive instance and bag's similarity.Experiments on SIGVAL dataset show that this algorithm is feasible,and the performance is superior to other MIL algorithms.