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IDA
1997
Springer
13 years 11 months ago
How to Find Big-Oh in Your Data Set (and How Not to)
The empirical curve bounding problem is de ned as follows. Suppose data vectors X Y are presented such that E(Y i]) = f(X i]) where f(x) is an unknown function. The problem is to a...
Catherine C. McGeoch, Doina Precup, Paul R. Cohen
TVCG
2011
146views more  TVCG 2011»
13 years 2 months ago
Visibility Histograms and Visibility-Driven Transfer Functions
—Direct volume rendering is an important tool for visualizing complex data sets. However, in the process of generating 2D images from 3D data, information is lost in the form of ...
Carlos D. Correa, Kwan-Liu Ma
CIKM
2008
Springer
13 years 9 months ago
Academic conference homepage understanding using constrained hierarchical conditional random fields
We address the problem of academic conference homepage understanding for the Semantic Web. This problem consists of three labeling tasks - labeling conference function pages, func...
Xin Xin, Juanzi Li, Jie Tang, Qiong Luo
WWW
2004
ACM
14 years 8 months ago
A smart hill-climbing algorithm for application server configuration
The overwhelming success of the Web as a mechanism for facilitating information retrieval and for conducting business transactions has led to an increase in the deployment of comp...
Bowei Xi, Zhen Liu, Mukund Raghavachari, Cathy H. ...
DAWAK
2001
Springer
14 years 3 hour ago
Matchmaking for Structured Objects
A fundamental task in multi-agent systems is matchmaking, which is to retrieve and classify service descriptions of agents that (best) match a given service request. Several approa...
Thomas Eiter, Daniel Veit, Jörg P. Mülle...