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113
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ICCV
2009
IEEE
1265views Computer Vision» more  ICCV 2009»
16 years 7 months ago
Reconstructing 3D motion trajectories of particle swarms by global correspondence selection
This paper addresses the problem of reconstructing the 3D motion trajectories of particle swarms using two temporally synchronized and geometrically calibrated cameras. The 3D traj...
Danping Zou, Qi Zhao, Hai Shan Wu, Yan Qiu Chen
ICML
2004
IEEE
16 years 4 months ago
Text categorization with many redundant features: using aggressive feature selection to make SVMs competitive with C4.5
Text categorization algorithms usually represent documents as bags of words and consequently have to deal with huge numbers of features. Most previous studies found that the major...
Evgeniy Gabrilovich, Shaul Markovitch
178
Voted
ICML
2000
IEEE
16 years 4 months ago
Correlation-based Feature Selection for Discrete and Numeric Class Machine Learning
Algorithms for feature selection fall into two broad categories: wrappers that use the learning algorithm itself to evaluate the usefulness of features and filters that evaluate f...
Mark A. Hall

Publication
210views
15 years 10 months ago
Optimal Feature Selection for Subspace Image Matching
Image matching has been a central research topic in computer vision over the last decades. Typical approaches to correspondence involve matching features between images. In this pa...
Gemma Roig, Xavier Boix, Fernando De la Torre
ECRTS
2008
IEEE
15 years 9 months ago
Period and Deadline Selection for Schedulability in Real-Time Systems
Task period adaptations are often used to alleviate temporal overload conditions in real-time systems. Existing frameworks assume that only task periods are adjustable and that ta...
Thidapat Chantem, Xiaofeng Wang, Michael D. Lemmon...