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ICCV
2007
IEEE
16 years 6 months ago
3D Variational Brain Tumor Segmentation using a High Dimensional Feature Set
Tumor segmentation from MRI data is an important but time consuming task performed manually by medical experts. Automating this process is challenging due to the high diversity in...
Albert Murtha, Dana Cobzas, Mark Schmidt, Martin J...
ESWA
2008
169views more  ESWA 2008»
15 years 4 months ago
Predicting opponent's moves in electronic negotiations using neural networks
Electronic negotiation experiments provide a rich source of information about relationships between the negotiators, their individual actions, and the negotiation dynami...
Réal Carbonneau, Gregory E. Kersten, Rustam...
JSA
2007
191views more  JSA 2007»
15 years 4 months ago
Automated memory-aware application distribution for Multi-processor System-on-Chips
Mapping of applications on a Multiprocessor System-on-Chip (MP-SoC) is a crucial step to optimize performance, energy and memory constraints at the same time. The problem is formu...
Heikki Orsila, Tero Kangas, Erno Salminen, Timo D....
ICIAR
2005
Springer
15 years 10 months ago
Text-Pose Estimation in 3D Using Edge-Direction Distributions
Abstract. This paper presents a method for estimating the orientation of planar text surfaces using the edge-direction distribution (EDD) extracted from the image as input to a neu...
Marius Bulacu, Lambert Schomaker
EMSOFT
2007
Springer
15 years 10 months ago
Performance estimation of distributed real-time embedded systems by discrete event simulations
Key challenges in the performance estimation of distributed real-time embedded (DRE) systems include the systematic measurement of coverage by simulations, and the automated gener...
Gabor Madl, Nikil Dutt, Sherif Abdelwahed