Abstract: Automatic image annotation has become an important and challenging problem due to the existence of semantic gap. In this paper, we firstly extend ...
Automatic image annotation has become an important and challenging problem due to the existence of semantic gap. In this paper, we firstly extend ...
Mar 1, 2019 · Automatic image annotation has become an important and challenging problem due to the existence of semantic gap. In this paper, we firstly ...
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We firstly propose continuous probabilistic latent semantic analysis (PLSA) to model continuous quantity.
Bibliographic details on Automatic image annotation with continuous PLSA.
Furthermore, we propose a hybrid framework which employs continuous PLSA to model visual features of images in generative learning stage and uses ensembles of ...
In the area of automatic image annotation , it is generally believed that using continuous feature vectors will give rise to better performance (Lavrenko et al.
We firstly propose continuous probabilistic latent semantic analysis (PLSA) to model continuous quantity.
Automatic image annotation has become an ... This paper proposes continuous PLSA, which assumes that feature vectors in an image ... PLSA to continuous PLSA that ...
A new way of modeling multi-modal co-occurrences is proposed, constraining the definition of the latent space to ensure its consistency in semantic terms ...
Missing: continuous | Show results with:continuous