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In this paper, two discriminative fusion schemes are proposed for automatic image annotation. One is the ensemble-pattern association based fusion and ...
In this paper, two discriminative fusion schemes are proposed for automatic image annotation. One is the ensemble-pattern association based fusion and ...
This work shows techniques for the integration of visual information from different image features and compares the results achieved by them, to exploit, ...
In this paper, two discriminative fusion schemes are proposed for automatic image annotation. One is the ensemble-pattern association based fusion and ...
In this paper, we present a novel image annotation method that leverages on the advantages of both generative and discriminative models. To label an image, ...
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Apr 4, 2014 · In this work, we propose to automatically annotate the images using a hybrid discriminative/generative model. The proposed model has the ...
Since the framework combines the advantages of generative and discriminative learning, it can predict semantic annotation precisely for unseen images. Finally, ...
In this paper we describe a general information fusion algorithm that can be used to incorporate multimodal cues in building user-defined semantic concept ...
This paper discusses about the literature survey on statistical approaches for automatic annotation in digital images.
In order to bridge the semantic gap exists in image retrieval, this paper propose an approach combining generative and discriminative learning to accomplish ...