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ICCD
2005
IEEE
246views Hardware» more  ICCD 2005»
16 years 3 months ago
H-SIMD Machine: Configurable Parallel Computing for Matrix Multiplication
FPGAs (Field-Programmable Gate Arrays) are often used as coprocessors to boost the performance of dataintensive applications [1, 2]. However, mapping algorithms onto multimillion-...
Xizhen Xu, Sotirios G. Ziavras
CVPR
2010
IEEE
1135views Computer Vision» more  CVPR 2010»
16 years 2 months ago
Towards Weakly Supervised Semantic Segmentation by Means of Multiple Instance and Multitask Learning.
We address the task of learning a semantic segmentation from weakly supervised data. Our aim is to devise a system that predicts an object label for each pixel by making use of on...
Alexander Vezhnevets, Joachim Buhmann
CHI
2010
ACM
16 years 1 months ago
ManyNets: an interface for multiple network analysis and visualization
Traditional network analysis tools support analysts in studying a single network. ManyNets offers these analysts a powerful new approach that enables them to work on multiple netw...
Manuel Freire, Catherine Plaisant, Ben Shneiderman...
IPPS
2009
IEEE
16 years 1 months ago
Combining multiple heuristics on discrete resources
—In this work we study the portfolio problem which is to find a good combination of multiple heuristics to solve given instances on parallel resources in minimum time. The resou...
Marin Bougeret, Pierre-François Dutot, Alfr...
BIOTECHNO
2008
IEEE
16 years 1 months ago
Combining Boundaries and Ratings from Multiple Observers for Predicting Lung Nodule Characteristics
We use the data collected by the Lung Image Database Consortium (LIDC) for modeling the radiologists’ nodule interpretations based on image content of the nodule by using decisi...
Ekarin Varutbangkul, Vesna Mitrovic, Daniela Stan ...