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» Set cover algorithms for very large datasets
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SIGMOD
2008
ACM
236views Database» more  SIGMOD 2008»
14 years 8 months ago
Approximate embedding-based subsequence matching of time series
A method for approximate subsequence matching is introduced, that significantly improves the efficiency of subsequence matching in large time series data sets under the dynamic ti...
Vassilis Athitsos, Panagiotis Papapetrou, Michalis...
DEXAW
2005
IEEE
121views Database» more  DEXAW 2005»
14 years 2 months ago
Resource Discovery in a Dynamic Grid Environment
Resource discovery in a Grid environment is a critical problem, as a typical Grid system includes a very large number of resources, which must be readily identified and accessed ...
Moreno Marzolla, Matteo Mordacchini, Salvatore Orl...
ICCV
1999
IEEE
14 years 10 months ago
Finding People by Sampling
We show how to use a sampling method to find sparsely clad people in static images. People are modeled as an assembly of nine cylindrical segments. Segments are found using an EM ...
Sergey Ioffe, David A. Forsyth
IROS
2007
IEEE
121views Robotics» more  IROS 2007»
14 years 2 months ago
"Talk to me!": enabling communication between robotic architectures and their implementing infrastructures
— Complex, autonomous robots integrate a large set of sometimes very diverse algorithms across at least three levels of system organization: the agent architecture, the implement...
James F. Kramer, Matthias Scheutz, Paul W. Scherme...
KES
2005
Springer
14 years 2 months ago
A SVM Regression Based Approach to Filling in Missing Values
In KDD procedure, to fill in missing data typically requires a very large investment of time and energy - often 80% to 90% of a data analysis project is spent in making the data re...
Honghai Feng, Chen Guoshun, Yin Cheng, Bingru Yang...