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AIME
2009
Springer
13 years 7 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...
RT
2004
Springer
14 years 3 months ago
Programmable Style for NPR Line Drawing
This paper introduces a programmable approach to non-photorealistic line drawing from 3D models, inspired by programmable shaders in traditional rendering. We propose a new image ...
Stéphane Grabli, Emmanuel Turquin, Fr&eacut...
AAAI
2008
14 years 16 days ago
A Case Study on the Critical Role of Geometric Regularity in Machine Learning
An important feature of many problem domains in machine learning is their geometry. For example, adjacency relationships, symmetries, and Cartesian coordinates are essential to an...
Jason Gauci, Kenneth O. Stanley
KDD
1998
ACM
147views Data Mining» more  KDD 1998»
14 years 2 months ago
ADtrees for Fast Counting and for Fast Learning of Association Rules
Abstract: The problem of discovering association rules in large databases has received considerable research attention. Much research has examined the exhaustive discovery of all a...
Brigham S. Anderson, Andrew W. Moore
ECAI
2010
Springer
13 years 10 months ago
Learning to Author Text with textual CBR
Abstract. Textual reuse is an integral part of textual case-based reasoning (TCBR) which deals with solving new problems by reusing previous similar problem-solving experiences doc...
Ibrahim Adeyanju, Nirmalie Wiratunga, Juan A. Reci...