In this paper, an efficient method using various histogrambased (high-dimensional) image content descriptors for automatically classifying general color photos into relevant categ...
Middle and high-school science teachers have traditionally introduced current events in the classroom to leverage news topics relevant to the curriculum, such as the Sumatra Tsuna...
We present a multiple-instance regression algorithm that models internal bag structure to identify the items most relevant to the bag labels. Multiple-instance regression (MIR) op...
In relevance feedback, active learning is often used to alleviate the burden of labeling by selecting only the most informative data. Traditional data selection strategies often c...
Implicit feedback algorithms utilize interaction between searchers and search systems to learn more about users’ needs and interests than expressed in query statements alone. Th...