Although it has been studied for years by the computer vision and machine learning communities, image annotation is still far from practical. In this paper, we propose a novel atte...
Xin-Jing Wang, Lei Zhang 0001, Xirong Li, Wei-Ying...
: This talk describes a research project exploring new ways for augmenting search using multiple types and sources of social information. Our goal is to allow searching for all obj...
Einat Amitay, David Carmel, Nadav Har'El, Shila Of...
This paper addresses the role of case-based reasoning in semantic search, and in particular, as it applies to Knowledge Sifter, an agent-based ontology-driven search system based o...
Larry Kerschberg, Hanjo Jeong, Yong Uk Song, Wooju...
Similarity search methods are widely used as kernels in various data mining and machine learning applications including those in computational biology, web search/clustering. Near...
: User interfaces to WWW search engines typically present results as ranked lists of documents. Such lists give users little help in understanding document variation: we propose a ...
Ivan Bretan, Johan Dewe, Anders Hallberg, Niklas W...