Probabilistic feature relevance learning (PFRL) is an effective technique for adaptively computing local feature relevance for content-based image retrieval. It however becomes le...
Selection is a fundamental task in interactive applications, typically performed by clicking or lassoing items of interest. However, users may require more nuanced forms of select...
— Keyword search on relational databases provides users with insights that they can not easily observe using the traditional RDBMS techniques. Here, an l-keyword query is speci...
Abstract—A text filtering system monitors a stream of incoming documents, to identify those that match the interest profiles of its users. The user interests are registered at ...
—With the abundance of location-aware portable devices such as cellphones and PDAs, a new emerging application is to use this pervasive computing platform to learn about the wher...