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» Evaluating algorithms that learn from data streams
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WWW
2007
ACM
16 years 8 months ago
Detecting near-duplicates for web crawling
Near-duplicate web documents are abundant. Two such documents differ from each other in a very small portion that displays advertisements, for example. Such differences are irrele...
Gurmeet Singh Manku, Arvind Jain, Anish Das Sarma
ROMAN
2007
IEEE
181views Robotics» more  ROMAN 2007»
16 years 1 months ago
Efficient Articulated Model Fitting on a Single Image or a Sequence
Abstract—Models that can efficiently, compactly, and semantically represent potential users are important tools for human-robot interaction applications. We model a person as a p...
Matheen Siddiqui, Gérard G. Medioni
VLDB
1997
ACM
170views Database» more  VLDB 1997»
15 years 10 months ago
M-tree: An Efficient Access Method for Similarity Search in Metric Spaces
A new access method, called M-tree, is proposed to organize and search large data sets from a generic "metric space", i.e. where object proximity is only defined by a di...
Paolo Ciaccia, Marco Patella, Pavel Zezula
TSP
2008
126views more  TSP 2008»
15 years 7 months ago
HOS-Based Semi-Blind Spatial Equalization for MIMO Rayleigh Fading Channels
In this paper we concentrate on the direct semi-blind spatial equalizer design for MIMO systems with Rayleigh fading channels. Our aim is to develop an algorithm which can outperf...
Zhiguo Ding, Tharmalingam Ratnarajah, Colin Cowan
IUI
2012
ACM
14 years 2 months ago
Summarizing sporting events using twitter
The status updates posted to social networks, such as Twitter and Facebook, contain a myriad of information about what people are doing and watching. During events, such as sports...
Jeffrey Nichols, Jalal Mahmud, Clemens Drews