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BMCBI
2010
130views more  BMCBI 2010»
13 years 8 months ago
The behaviour of random forest permutation-based variable importance measures under predictor correlation
Background: Random forests (RF) have been increasingly used in applications such as genome-wide association and microarray studies where predictor correlation is frequently observ...
Kristin K. Nicodemus, James D. Malley, Carolin Str...
CVPR
2011
IEEE
13 years 4 months ago
Real Time Head Pose Estimation with Random Regression Forests
Fast and reliable algorithms for estimating the head pose are essential for many applications and higher-level face analysis tasks. We address the problem of head pose estimation ...
Gabriele Fanelli, Juergen Gall, Luc VanGool
ICCV
2009
IEEE
1714views Computer Vision» more  ICCV 2009»
15 years 26 days ago
Power watersheds: a new image segmentation framework extending graph cuts, random walker and optimal spanning forest
In this work, we extend a common framework for seeded image segmentation that includes the graph cuts, ran- dom walker, and shortest path optimization algorithms. Viewing an ima...
Camille Couprie, Leo Grady, Laurent Najman, Hugues...
GLOBECOM
2008
IEEE
14 years 2 months ago
Support Vector Machines and Random Forests Modeling for Spam Senders Behavior Analysis
— Unwanted and malicious messages dominate Email traffic and pose a great threat to the utility of email communications. Reputation systems have been getting momentum as the sol...
Yuchun Tang, Sven Krasser, Yuanchen He, Weilai Yan...
ICISP
2010
Springer
14 years 21 days ago
Classification of High-Resolution NMR Spectra Based on Complex Wavelet Domain Feature Selection and Kernel-Induced Random Forest
High-resolution nuclear magnetic resonance (NMR) spectra contain important biomarkers that have potentials for early diagnosis of disease and subsequent monitoring of its progressi...
Guangzhe Fan, Zhou Wang, Seoung Bum Kim, Chivalai ...