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ICML
2008
IEEE
16 years 7 months ago
Boosting with incomplete information
In real-world machine learning problems, it is very common that part of the input feature vector is incomplete: either not available, missing, or corrupted. In this paper, we pres...
Feng Jiao, Gholamreza Haffari, Greg Mori, Shaojun ...
IROS
2009
IEEE
155views Robotics» more  IROS 2009»
16 years 1 months ago
Active learning using mean shift optimization for robot grasping
— When children learn to grasp a new object, they often know several possible grasping points from observing a parent’s demonstration and subsequently learn better grasps by tr...
Oliver Kroemer, Renaud Detry, Justus H. Piater, Ja...
HICSS
2008
IEEE
151views Biometrics» more  HICSS 2008»
16 years 1 months ago
Using k-Pricing for Penalty Calculation in Grid Market
To distribute risk in Grid, the design of service level agreements (SLAs) plays an important role, since these contracts determine the price for a service at an agreed quality lev...
Michael Becker, Nikolay Borrisov, Vikas Deora, Ome...
ICCV
2007
IEEE
16 years 26 days ago
On the Extraction of Curve Skeletons using Gradient Vector Flow
In this paper, we propose a new variational framework for computing continuous curve skeletons from discrete objects that are suitable for structural shape representation. We have...
M. Sabry Hassouna, Aly A. Farag
NETCOOP
2007
Springer
16 years 23 days ago
Minimum Transmission Energy Trajectories for a Linear Pursuit Problem
In this paper we study a pursuit problem in the context of a wireless sensor network, where the pursuer (i.e., mobile sink) trying to capture a pursuee (i.e., tracked object), movi...
Attila Vidács, Jorma T. Virtamo