30 search results - page 4 / 6 » The Most Robust Loss Function for Boosting |
AAAI
2011
12 years 7 months ago
2011
In order to better protect and conserve biodiversity, ecologists use machine learning and statistics to understand how species respond to their environment and to predict how they...
IBPRIA
2007
Springer
14 years 1 months ago
2007
Springer
One of the major difficulties of handwriting recognition is the variability among symbols because of the different writer styles. In this paper we introduce the boosting of blurre...
ICIP
2007
IEEE
14 years 9 months ago
2007
IEEE
In this paper we propose a domain partitioning RankBoost approach for face recognition. This method uses Local Gabor Binary Pattern Histogram (LGBPH) features for face representat...
TSMC
2008
13 years 7 months ago
2008
Robust regression techniques are critical to fitting data with noise in real-world applications. Most previous work of robust kernel regression is usually formulated into a dual fo...
BMCBI
2006
13 years 7 months ago
2006
Background: We have recently introduced a predictive framework for studying gene transcriptional regulation in simpler organisms using a novel supervised learning algorithm called...