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AIME
2009
Springer
15 years 3 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...
KDD
2012
ACM
205views Data Mining» more  KDD 2012»
13 years 8 months ago
Rank-loss support instance machines for MIML instance annotation
Multi-instance multi-label learning (MIML) is a framework for supervised classification where the objects to be classified are bags of instances associated with multiple labels....
Forrest Briggs, Xiaoli Z. Fern, Raviv Raich
INFOCOM
2009
IEEE
16 years 22 days ago
Barrier Information Coverage with Wireless Sensors
Abstract—Sensor networks have been deployed for many barrier coverage applications such as intrusion detection and border surveillance. In these applications, it is critical to o...
Guanqun Yang, Daji Qiao
WADS
2007
Springer
130views Algorithms» more  WADS 2007»
16 years 5 days ago
Approximating the Maximum Sharing Problem
In the maximum sharing problem (MS), we want to compute a set of (non-simple) paths in an undirected bipartite graph covering as many nodes as possible of the first layer of the ...
Amitabh Chaudhary, Danny Z. Chen, Rudolf Fleischer...
147
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IPPS
2006
IEEE
16 years 3 days ago
A nonself space approach to network anomaly detection
The paper presents an approach for the anomaly detection problem based on principles of immune systems. Flexibility and efficiency of the anomaly detection system are achieved by ...
Marek Ostaszewski, Franciszek Seredynski, Pascal B...