We examine the problem of large scale nearest neighbor search in high dimensional spaces and propose a new approach based on the close relationship between nearest neighbor search...
Content based image retrieval (CBIR), a technique which uses visual contents to search images from the large scale image databases, is an active area of research for the past decad...
Amit Jain, Ramanathan Muthuganapathy, Karthik Rama...
Conficker [26] is the most recent widespread, well-known worm/bot. According to several reports [16, 28], it has infected about 7 million to 15 million hosts and the victims are s...
It has been widely observed that search queries are composed in a very different style from that of the body or the title of a document. Many techniques explicitly accounting for...
Gradient Boosted Regression Trees (GBRT) are the current state-of-the-art learning paradigm for machine learned websearch ranking — a domain notorious for very large data sets. ...
Stephen Tyree, Kilian Q. Weinberger, Kunal Agrawal...