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126
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IPMI
2005
Springer
16 years 3 months ago
3D Active Shape Models Using Gradient Descent Optimization of Description Length
Abstract. Active Shape Models are a popular method for segmenting three-dimensional medical images. To obtain the required landmark correspondences, various automatic approaches ha...
Tobias Heimann, Ivo Wolf, Tomos G. Williams, Hans-...
127
Voted
ICML
2008
IEEE
16 years 3 months ago
Nearest hyperdisk methods for high-dimensional classification
In high-dimensional classification problems it is infeasible to include enough training samples to cover the class regions densely. Irregularities in the resulting sparse sample d...
Hakan Cevikalp, Bill Triggs, Robi Polikar
116
Voted
ICML
2002
IEEE
16 years 3 months ago
Learning Decision Trees Using the Area Under the ROC Curve
ROC analysis is increasingly being recognised as an important tool for evaluation and comparison of classifiers when the operating characteristics (i.e. class distribution and cos...
César Ferri, José Hernández-O...
170
Voted
ICML
1995
IEEE
16 years 3 months ago
Ant-Q: A Reinforcement Learning Approach to the Traveling Salesman Problem
In this paper we introduce Ant-Q, a family of algorithms which present many similarities with Q-learning (Watkins, 1989), and which we apply to the solution of symmetric and asymm...
Luca Maria Gambardella, Marco Dorigo
106
Voted
ICSE
2009
IEEE-ACM
16 years 3 months ago
Locating need-to-translate constant strings for software internationalization
Modern software applications require internationalization to be distributed to different regions of the world. In various situations, many software applications are not internatio...
Xiaoyin Wang, Lu Zhang, Tao Xie, Hong Mei, Jiasu S...