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» A survey of very large-scale neighborhood search techniques
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CVPR
2010
IEEE
13 years 6 months ago
Transform Coding for Fast Approximate Nearest Neighbor Search in High Dimensions
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...
Jonathan Brandt
ISVC
2007
Springer
14 years 1 months ago
Content-Based Image Retrieval Using Shape and Depth from an Engineering Database
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...
ACSAC
2010
IEEE
13 years 5 months ago
Conficker and beyond: a large-scale empirical study
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...
Seungwon Shin, Guofei Gu
WWW
2010
ACM
14 years 2 months ago
Exploring web scale language models for search query processing
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...
Jian Huang 0002, Jianfeng Gao, Jiangbo Miao, Xiaol...
WWW
2011
ACM
13 years 2 months ago
Parallel boosted regression trees for web search ranking
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...