Future paths for integer programming and links to artificial intelligence
Computers and Operations Research - Special issue: Applications of integer programming
Learning an image manifold for retrieval
Proceedings of the 12th annual ACM international conference on Multimedia
Learning image manifolds by semantic subspace projection
MULTIMEDIA '06 Proceedings of the 14th annual ACM international conference on Multimedia
Active learning for class imbalance problem
SIGIR '07 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
Regularized regression on image manifold for retrieval
Proceedings of the international workshop on Workshop on multimedia information retrieval
VisualRank: Applying PageRank to Large-Scale Image Search
IEEE Transactions on Pattern Analysis and Machine Intelligence
Entropy descriptor for image classification
Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval
Entropy based image semantic cycle for image classification
ICONIP'12 Proceedings of the 19th international conference on Neural Information Processing - Volume Part V
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This paper proposes a novel framework for image retrieval. The retrieval is treated as searching for an ordered cycle in an image database. The optimal cycle can be found by minimizing the geometric manifold entropy of images. The minimization is solved by the proposed method, fast active tabu search. Experimental results demonstrate the framework for image retrieval is feasible and quite promising.