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» Introduction to Randomized Algorithms
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MICCAI
2007
Springer
16 years 7 months ago
De-enhancing the Dynamic Contrast-Enhanced Breast MRI for Robust Registration
Abstract. Dynamic enhancement causes serious problems for registration of contrast enhanced breast MRI, due to variable uptakes of agent on different tissues or even same tissues i...
Yuanjie Zheng, Jingyi Yu, Chandra Kambhamettu, Sar...
WEA
2010
Springer
311views Algorithms» more  WEA 2010»
16 years 1 months ago
Geometric Minimum Spanning Trees with GeoFilterKruskal
Let P be a set of points in Rd . We propose GEOFILTERKRUSKAL, an algorithm that computes the minimum spanning tree of P using well separated pair decomposition in combination with ...
Samidh Chatterjee, Michael Connor, Piyush Kumar
ICCVW
1999
Springer
15 years 10 months ago
Generalized Voxel Coloring
Image-based reconstruction from randomly scattered views is a challenging problem. We present a new algorithm that extends Seitz and Dyer’s Voxel Coloring algorithm. Unlike their...
W. Bruce Culbertson, Thomas Malzbender, Gregory G....
GECCO
2008
Springer
274views Optimization» more  GECCO 2008»
15 years 7 months ago
Bacterial foraging oriented by particle swarm optimization strategy for PID tuning
Proportional integral derivative (PID) controller tuning is an area of interest for researchers in many disciplines of science and engineering. This paper presents a new algorithm...
Wael Mansour Korani
JMLR
2006
99views more  JMLR 2006»
15 years 6 months ago
Worst-Case Analysis of Selective Sampling for Linear Classification
A selective sampling algorithm is a learning algorithm for classification that, based on the past observed data, decides whether to ask the label of each new instance to be classi...
Nicolò Cesa-Bianchi, Claudio Gentile, Luca ...