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» Site level noise removal for search engines
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SIGCOMM
2009
ACM
13 years 11 months ago
ROAR: increasing the flexibility and performance of distributed search
To search the web quickly, search engines partition the web index over many machines, and consult every partition when answering a query. To increase throughput, replicas are adde...
Costin Raiciu, Felipe Huici, Mark Handley, David S...
WWW
2003
ACM
14 years 5 months ago
A new paradigm for ranking pages on the world wide web
This paper describes a new paradigm for modeling traffic levels on the world wide web (WWW) using a method of entropy maximization. This traffic is subject to the conservation con...
John A. Tomlin
SIGIR
2010
ACM
13 years 9 months ago
Query recovery of short user queries: on query expansion with stopwords
User queries to search engines are observed to predominantly contain inflected content words but lack stopwords and capitalization. Thus, they often resemble natural language que...
Johannes Leveling, Gareth J. F. Jones
ICIP
2000
IEEE
14 years 6 months ago
Statistical Threshold Design for the Two-State Signal-Dependent Rank Order Mean Filter
The signal-dependent rank order mean (SD-ROM) ?lter is effective at removing high levels of impulse noise from 2D scalar-valued signals. Excellent results have been presented for ...
Michael S. Moore, Sanjit K. Mitra
ICMCS
2007
IEEE
255views Multimedia» more  ICMCS 2007»
13 years 11 months ago
Distributed Architecture for Large Scale Image-Based Search
In recent years, some computer vision algorithms such as SIFT (Scale Invariant Feature Transform) have been employed in image similarity match to perform image-based search applic...
Yu Zheng, Xing Xie, Wei-Ying Ma