70 search results - page 3 / 14 » Performance of random forest and SVM in face recognition |
MCS
2007
Springer
13 years 11 months ago
2007
Springer
Rotation Forest is a recently proposed method for building classifier ensembles using independently trained decision trees. It was found to be more accurate than bagging, AdaBoost...
CVPR
2011
IEEE
13 years 1 months ago
2011
IEEE
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 ...
ICCV
2001
IEEE
14 years 6 months ago
2001
IEEE
We present a component-based method and two global methods for face recognition and evaluate them with respect to robustness against pose changes. In the component system we first...
14
Voted
NIPS
2004
13 years 6 months ago
2004
In this paper, we explore the use of Random Forests (RFs) in the structured language model (SLM), which uses rich syntactic information in predicting the next word based on words ...
NIPS
2001
13 years 6 months ago
2001
We describe an algorithm for automatically learning discriminative components of objects with SVM classifiers. It is based on growing image parts by minimizing theoretical bounds ...