Keyword searching while very successful in narrowing down the contents of the Web to the pertaining subset of information, has two primary drawbacks. First, the accuracy of the se...
We introduce a method that enables scalable image search for learned metrics. Given pairwise similarity and dissimilarity constraints between some images, we learn a Mahalanobis d...
We extend an approach to search inside large-scale music collections by enabling the user to give feedback on the retrieved music pieces. In the original approach, a search engine ...
We researched to try to find a way to reduce the cost of nearest neighbor searches in metric spaces. Many similarity search indexes recursively divide a region into subregions by u...
We consider the network structure and query processing capabilities of social communities like bookmarks and photo sharing communities such as del.icio.us or flickr. A common fea...