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CVPR
2012
IEEE
13 years 9 months ago
Weakly supervised structured output learning for semantic segmentation
We address the problem of weakly supervised semantic segmentation. The training images are labeled only by the classes they contain, not by their location in the image. On test im...
Alexander Vezhnevets, Vittorio Ferrari, Joachim M....
BMCBI
2004
114views more  BMCBI 2004»
15 years 6 months ago
Profiled support vector machines for antisense oligonucleotide efficacy prediction
Background: This paper presents the use of Support Vector Machines (SVMs) for prediction and analysis of antisense oligonucleotide (AO) efficacy. The collected database comprises ...
Gustavo Camps-Valls, Alistair M. Chalk, Antonio J....
TON
2002
116views more  TON 2002»
15 years 6 months ago
Managing capacity for telecommunications networks under uncertainty
The existing telecommunications infrastructure in most of the world is adequate to deliver voice and text applications, but demand for broadband services such as streaming video an...
Yann d'Halluin, Peter A. Forsyth, Kenneth R. Vetza...
ROBOCUP
2004
Springer
147views Robotics» more  ROBOCUP 2004»
16 years 2 days ago
Learning to Drive and Simulate Autonomous Mobile Robots
We show how to apply learning methods to two robotics problems, namely the optimization of the on-board controller of an omnidirectional robot, and the derivation of a model of the...
Alexander Gloye, Cüneyt Göktekin, Anna E...
WAOA
2007
Springer
106views Algorithms» more  WAOA 2007»
16 years 25 days ago
Full and Local Information in Distributed Decision Making
We consider the following distributed optimization problem: three agents i = 1, 2, 3 are each presented with a load drawn independently from the same known prior distribution. Then...
Panagiota N. Panagopoulou, Paul G. Spirakis