We present a model for image retrieval in which images are represented both at the form level, as sets of physical features of the representing objects, and at the content level, a...
Carlo Meghini, Fabrizio Sebastiani, Umberto Stracc...
Abstract. We apply sparse Bayesian learning methods, automatic relevance determination (ARD) and predictive ARD (PARD), to Alzheimer’s disease (AD) classification to make accura...
Li Shen, Yuan Qi, Sungeun Kim, Kwangsik Nho, Jing ...
While traditional research on text clustering has largely focused on grouping documents by topic, it is conceivable that a user may want to cluster documents along other dimension...
We describe a unique system called ViBE (video browsing environment) for browsing and searching large databases of video sequences. The system first computes the DC sequence for a...
Query-by-example video retrieval is receiving an increasing attention in recent years. One of the state-of-art approaches is the Bag-of-visual Words (BoW) based technique, where im...