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» The Generalized Max-Controlled Set Problem
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FGR
2004
IEEE
132views Biometrics» more  FGR 2004»
15 years 7 months ago
Expand Training Set for Face Detection by GA Re-sampling
Data collection for both training and testing a classifier is a tedious but essential step towards face detection and recognition. All of the statistical methods suffer from this ...
Jie Chen, Xilin Chen, Wen Gao
GECCO
2010
Springer
187views Optimization» more  GECCO 2010»
15 years 8 months ago
The maximum hypervolume set yields near-optimal approximation
In order to allow a comparison of (otherwise incomparable) sets, many evolutionary multiobjective optimizers use indicator functions to guide the search and to evaluate the perfor...
Karl Bringmann, Tobias Friedrich
JCIT
2008
138views more  JCIT 2008»
15 years 3 months ago
Enhancing the Routing Performance of Wireless Sensor Networks using Connected Dominating Sets
Many prominent applications in wireless sensor networks require collected information has to be routed to end nodes in an efficient manner. In general, Connected Dominating Set (C...
B. Paramasivan, Mohaideen Pitchai, Radha Krishnan
SIAMCOMP
2008
167views more  SIAMCOMP 2008»
15 years 3 months ago
Approximation Algorithms for Data Placement Problems
We develop approximation algorithms for the problem of placing replicated data in arbitrary networks, where the nodes may both issue requests for data objects and have capacity fo...
Ivan D. Baev, Rajmohan Rajaraman, Chaitanya Swamy
114
Voted
SDM
2009
SIAM
175views Data Mining» more  SDM 2009»
16 years 15 days ago
Low-Entropy Set Selection.
Most pattern discovery algorithms easily generate very large numbers of patterns, making the results impossible to understand and hard to use. Recently, the problem of instead sel...
Hannes Heikinheimo, Jilles Vreeken, Arno Siebes, H...