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ICML
2008
IEEE
14 years 8 months ago
An empirical evaluation of supervised learning in high dimensions
In this paper we perform an empirical evaluation of supervised learning on highdimensional data. We evaluate performance on three metrics: accuracy, AUC, and squared loss and stud...
Rich Caruana, Nikolaos Karampatziakis, Ainur Yesse...
ICRA
2005
IEEE
102views Robotics» more  ICRA 2005»
14 years 1 months ago
Planning 3-D Path Networks in Unstructured Environments
Abstract— In this paper, we explore the problem of threedimensional motion planning in highly cluttered and unstructured outdoor environments. Because accurate sensing and modeli...
Nicolas Vandapel, James Kuffner, Omead Amidi
CSDA
2008
128views more  CSDA 2008»
13 years 7 months ago
Classification tree analysis using TARGET
Tree models are valuable tools for predictive modeling and data mining. Traditional tree-growing methodologies such as CART are known to suffer from problems including greediness,...
J. Brian Gray, Guangzhe Fan
CVPR
2008
IEEE
14 years 9 months ago
Randomized trees for human pose detection
This paper addresses human pose recognition from video sequences by formulating it as a classification problem. Unlike much previous work we do not make any assumptions on the ava...
Grégory Rogez, Jonathan Rihan, Srikumar Ram...
DAGM
2011
Springer
12 years 7 months ago
Real Time Head Pose Estimation from Consumer Depth Cameras
We present a system for estimating location and orientation of a person’s head, from depth data acquired by a low quality device. Our approach is based on discriminative random r...
Gabriele Fanelli, Thibaut Weise, Juergen Gall, Luc...