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» A Vision on a New Generation of Software Design Environments
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JFR
2008
87views more  JFR 2008»
15 years 6 months ago
Robust vision-based underwater homing using self-similar landmarks
Next generation Autonomous Underwater Vehicles (AUVs) will be required to robustly identify underwater targets for tasks such as inspection, localization and docking. Given their ...
Amaury Nègre, Cédric Pradalier, Matt...
MVA
2007
162views Computer Vision» more  MVA 2007»
15 years 5 months ago
Location-Based Tracking of Moving Obstacles from a Mobile Robot
Tracking moving obstacles from a moving platform is a useful skill for the coming generation of mobile robot. The methods used in existing moving objects tracking that operated fr...
Thatsaphan Suwannathat, Jun-ichi Imai, Masahide Ka...
EEE
2005
IEEE
16 years 16 hour ago
From Multi-Context Business Collaboration Models to Context-Specific ebXML BPSS
UN/CEFACT’s Modelling Methodology (UMM) is used to analyze and design B2B business processes. We extend UMM by a constraint mechanism for adding business environment-specific co...
Birgit Hofreiter, Christian Huemer
CVPR
2010
IEEE
16 years 2 months ago
Nonparametric Higher-Order Learning for Interactive Segmentation
In this paper, we deal with a generative model for multi-label, interactive segmentation. To estimate the pixel likelihoods for each label, we propose a new higher-order formulatio...
Tae Hoon Kim (Seoul National University), Kyoung M...
ML
2000
ACM
244views Machine Learning» more  ML 2000»
15 years 6 months ago
Learnable Evolution Model: Evolutionary Processes Guided by Machine Learning
A new class of evolutionary computation processes is presented, called Learnable Evolution Model or LEM. In contrast to Darwinian-type evolution that relies on mutation, recombinat...
Ryszard S. Michalski