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TSP
2011
197views more  TSP 2011»
15 years 1 months ago
Group Object Structure and State Estimation With Evolving Networks and Monte Carlo Methods
—This paper proposes a technique for motion estimation of groups of targets based on evolving graph networks. The main novelty over alternative group tracking techniques stems fr...
Amadou Gning, Lyudmila Mihaylova, Simon Maskell, S...
JMLR
2010
161views more  JMLR 2010»
15 years 26 days ago
Accuracy-Rejection Curves (ARCs) for Comparing Classification Methods with a Reject Option
Data extracted from microarrays are now considered an important source of knowledge about various diseases. Several studies based on microarray data and the use of receiver operat...
Malik Sajjad Ahmed Nadeem, Jean-Daniel Zucker, Bla...
ICRA
2008
IEEE
129views Robotics» more  ICRA 2008»
16 years 15 days ago
Compliant manipulation for peg-in-hole: Is passive compliance a key to learn contact motion?
— We examine the usefulness of passive compliance in a manipulator that learns contact motion. Based on the notice that humans outperforms robots with the contact motion, we foll...
Seung-kook Yun
DAGM
2010
Springer
15 years 6 months ago
Incremental Learning in the Energy Minimisation Framework for Interactive Segmentation
In this article we propose a method for parameter learning within the energy minimisation framework for segmentation. We do this in an incremental way where user input is required ...
Denis Kirmizigül, Dmitrij Schlesinger
PR
2007
104views more  PR 2007»
15 years 5 months ago
Optimizing resources in model selection for support vector machine
Tuning SVM hyperparameters is an important step in achieving a high-performance learning machine. It is usually done by minimizing an estimate of generalization error based on the...
Mathias M. Adankon, Mohamed Cheriet