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KDD
2009
ACM
180views Data Mining» more  KDD 2009»
14 years 8 months ago
Using graph-based metrics with empirical risk minimization to speed up active learning on networked data
Active and semi-supervised learning are important techniques when labeled data are scarce. Recently a method was suggested for combining active learning with a semi-supervised lea...
Sofus A. Macskassy
CAD
2005
Springer
13 years 7 months ago
Fidelity in visualizing large-scale simulations
Computer simulations are powerful tools frequently used today in many important applications, for example to build safer buildings, to crash-test an automobile before it is built,...
Voicu Popescu, Christoph M. Hoffmann
GECCO
2007
Springer
159views Optimization» more  GECCO 2007»
14 years 1 months ago
Evolutionary hypernetwork models for aptamer-based cardiovascular disease diagnosis
We present a biology-inspired probabilistic graphical model, called the hypernetwork model, and its application to medical diagnosis of disease. The hypernetwork models are a way ...
JungWoo Ha, Jae-Hong Eom, Sung-Chun Kim, Byoung-Ta...
VRST
2010
ACM
13 years 5 months ago
An adaptive training-free feature tracker for mobile phones
While tracking technologies based on fiducial markers have dominated the development of Augmented Reality (AR) applications for almost a decade, various real-time capable approach...
Jan Herling, Wolfgang Broll
CHI
2009
ACM
14 years 8 months ago
QUICKIES: the future of sticky notes
In this paper, we present `QUICKIES', an attempt to bring one of the most useful inventions of the 20th century into the digital age: the ubiquitous sticky notes. `QUICKIES&#...
Pranav Mistry