Supported by the National Basic Research Priorities Program(No.2013CB329502);the National High-tech R&D Program of China(No.2012AA011003);National Natural Science Foundation of China(No.61035003,61072085,60933004,60903141);the National Scienceand Technology Support Program of China(No.2012BA107B02)
A novel image auto-annotation method is presented based on probabilistic latent semantic analysis(PLSA) model and multiple Markov random fields(MRF).A PLSA model with asymmetric modalities is first constructed to esti...
Supported by the National Basic Research Priorities Programme(No.2007CB311004);the National Natural Science Foundation of China(No.61035003,60933004,60903141,60970088,61072085)
Automatic image annotation(AIA)has become an important and challenging problem in computer vision due to the existence of semantic gap.In this paper,a novel support vector machine with mixture of kernels(SVM-MK)for au...
Supported by the National High Technology Research and Development Program of China (No. 2007AA01Z132); the National Natural Science Foundation of China (No.60775035, 60933004, 60970088, 60903141); the National Basic Research Priorities Programme (No. 2007CB311004); the National Science and Technology Support Plan (No.2006BAC08B06).
In this paper, we propose an enhanced associative classification method by integrating the dynamic property in the process of associative classification. In the proposed method, we employ a support vector machine(SVM...