Statistical learning methods are commonly applied in content-based video and image retrieval. Such methods require a large number of examples which are usually obtained through a ...
Timo Volkmer, James A. Thom, Seyed M. M. Tahaghogh...
To enhance UDDI query capability, typically based on taxonomic classification, semantic matching is assuming a key role. Even if we recognize the great importance of semantics in ...
We address the problem of unsupervised image auto-annotation with probabilistic latent space models. Unlike most previous works, which build latent space representations assuming ...
A contemporary office or knowledge worker has to deal with an ever increasing number of information channels and associated flows of events (i.e., software applications using vary...
Increasing applications are demanding effective and efficient support to perform retrieval in large collections of digital images. The work presented here is an early stage resear...
Giovanna Castellano, Gianluca Sforza, Maria Alessa...