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» Improving Random Projections Using Marginal Information
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ICML
2003
IEEE
15 years 10 months ago
Random Projection for High Dimensional Data Clustering: A Cluster Ensemble Approach
We investigate how random projection can best be used for clustering high dimensional data. Random projection has been shown to have promising theoretical properties. In practice,...
Xiaoli Zhang Fern, Carla E. Brodley
EUROSPI
2004
Springer
15 years 2 months ago
Discovering the Relation Between Project Factors and Project Success in Post-mortem Evaluations
Post-mortem project reviews often yield useful lessons learned. These project reviews are mostly recorded in plain text. This makes it difficult to derive useful overall findings ...
Joost J. P. Schalken, Sjaak Brinkkemper, Hans van ...
MSR
2009
ACM
15 years 4 months ago
Does calling structure information improve the accuracy of fault prediction?
Previous studies have shown that software code attributes, such as lines of source code, and history information, such as the number of code changes and the number of faults in pr...
Yonghee Shin, Robert M. Bell, Thomas J. Ostrand, E...
CVPR
2008
IEEE
15 years 11 months ago
Max Margin AND/OR Graph learning for parsing the human body
We present a novel structure learning method, Max Margin AND/OR Graph (MM-AOG), for parsing the human body into parts and recovering their poses. Our method represents the human b...
Long Zhu, Yuanhao Chen, Yifei Lu, Chenxi Lin, Alan...
CSEE
2008
Springer
14 years 11 months ago
Improving Knowledge Acquisition in Capstone Projects Using Learning Spaces for Experiential Learning
Students have to cope with new technologies, changing environments, and conflicting changes in capstone projects. They often lack practical experience, which might lead to failing...
Eric Ras, Jörg Rech