Abstract. Kernel based methods (such as k-nearest neighbors classifiers) for AI tasks translate the classification problem into a proximity search problem, in a space that is usu...
Proximity searching consists in retrieving from a database, objects that are close to a query. For this type of searching problem, the most general model is the metric space, where...
Abstract. With information proliferation on the Web, how to obtain highquality information from the Web has been one of hot research topics in many fields like Database, IR as well...
With the development of networking technologies and the advent of the peer-to-peer computing paradigm, distributed file-sharing systems like Gnutella are becoming prevalent over t...
Most existing reranking approaches to image search focus solely on mining "visual" cues within the initial search results. However, the visual information cannot always ...