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ICANN
2011
Springer
14 years 1 months ago
Bias of Importance Measures for Multi-valued Attributes and Solutions
Attribute importance measures for supervised learning are important for improving both learning accuracy and interpretability. However, it is well-known there could be bias when th...
Houtao Deng, George C. Runger, Eugene Tuv
ICIP
2003
IEEE
15 years 11 months ago
Improved H.264/AVC coding using texture analysis and synthesis
We assume that the textures in a video scene can be classified into two categories: textures with unimportant subjective details and the remainder. We utilize this assumption for ...
Patrick Ndjiki-Nya, Bela Makai, Gabi Blattermann, ...
ICASSP
2011
IEEE
14 years 1 months ago
Bayesian detection of interference in satellite navigation systems
In this paper, we propose a novel algorithm to detect/compensate online interference effects when integrating Global Navigation Satellite System (GNSS) and Inertial Navigation Sys...
Frederic Faurie, Audrey Giremus
ICIP
2006
IEEE
15 years 11 months ago
Shape-Based Image Segmentation Using Normalized Cuts
To segment a whole object from an image is an essential and challenging task in image processing. In this paper, we propose a hybrid segmentation algorithm which combines prior sh...
Wenchao Cai, Jue Wu, Albert C. S. Chung
KES
2005
Springer
15 years 3 months ago
Using Recommendation to Improve Negotiations in Agent-Based Systems
: In this paper we present research works on non-intuitive and low-efficient negotiations between agents in agent based system. We find recommendation techniques as a suitable meth...
Mateusz Lenar, Janusz Sobecki