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AIME
2009
Springer
14 years 9 months ago
Segmentation of Lung Tumours in Positron Emission Tomography Scans: A Machine Learning Approach
Lung cancer represents the most deadly type of malignancy. In this work we propose a machine learning approach to segmenting lung tumours in Positron Emission Tomography (PET) scan...
Aliaksei Kerhet, Cormac Small, Harvey Quon, Terenc...
PAMI
2012
13 years 2 months ago
Quantifying and Transferring Contextual Information in Object Detection
— Context is critical for reducing the uncertainty in object detection. However, context modelling is challenging because there are often many different types of contextual infor...
Wei-Shi Zheng, Shaogang Gong, Tao Xiang
CPM
2004
Springer
168views Combinatorics» more  CPM 2004»
15 years 5 months ago
The Protein Sequence Design Problem in Canonical Model on 2D and 3D Lattices
In this paper we investigate the protein sequence design (PSD) problem (also known as the inverse protein folding problem) under the Canonical model 4 on 2D and 3D lattices [12, 25...
Piotr Berman, Bhaskar DasGupta, Dhruv Mubayi, Robe...
APPROX
2006
Springer
88views Algorithms» more  APPROX 2006»
15 years 3 months ago
Weighted Sum Coloring in Batch Scheduling of Conflicting Jobs
Motivated by applications in batch scheduling of jobs in manufacturing systems and distributed computing, we study two related problems. Given is a set of jobs {J1, . . . , Jn}, w...
Leah Epstein, Magnús M. Halldórsson,...
DCOSS
2006
Springer
15 years 3 months ago
Efficient In-Network Processing Through Local Ad-Hoc Information Coalescence
We consider in-network processing via local message passing. The considered setting involves a set of sensors each of which can communicate with a subset of other sensors. There is...
Onur Savas, Murat Alanyali, Venkatesh Saligrama