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ICML
1990
IEEE
15 years 9 months ago
Average Case Analysis of Conjunctive Learning Algorithms
We present an approach to modeling the average case behavior of learning algorithms. Our motivation is to predict the expected accuracy of learning algorithms as a function of the...
Michael J. Pazzani, Wendy Sarrett
ICDM
2003
IEEE
107views Data Mining» more  ICDM 2003»
15 years 10 months ago
Objective and Subjective Algorithms for Grouping Association Rules
We propose two algorithms for grouping and summarizing association rules. The first algorithm recursively groups rules according to the structure of the rules and generates a tre...
Aijun An, Shakil M. Khan, Xiangji Huang
IBPRIA
2003
Springer
15 years 10 months ago
Incrementally Assessing Cluster Tendencies with a Maximum Variance Cluster Algorithm
A straightforward and efficient way to discover clustering tendencies in data using a recently proposed Maximum Variance Clustering algorithm is proposed. The approach shares the ...
Krzysztof Rzadca, Francesc J. Ferri
ECCV
2000
Springer
15 years 9 months ago
Measuring the Self-Consistency of Stereo Algorithms
A new approach to characterizing the performance of point-correspondence algorithms is presented. Instead of relying on any \ground truth', it uses the self-consistency of th...
Yvan G. Leclerc, Quang-Tuan Luong, Pascal Fua
MICCAI
2003
Springer
16 years 5 months ago
Minimum Cost Path Algorithm for Coronary Artery Central Axis Tracking in CT Images
The quality of cardiac images acquired with multi-detector CT scanners has improved significantly, to the point where minimally invasive examination of the coronary arteries became...
Marcel Breeuwer, Sílvia Delgado Olabarriaga...