15 search results - page 2 / 3 » Speeding Up and Boosting Diverse Density Learning |
ICASSP
2011
IEEE
12 years 11 months ago
2011
IEEE
Gradient boosting is a flexible machine learning technique that produces accurate predictions by combining many weak learners. In this work, we investigate its use in two applica...
CVPR
2007
IEEE
14 years 9 months ago
2007
IEEE
The existing methods for offline training of cascade classifiers take a greedy search to optimize individual classifiers in the cascade, leading inefficient overall performance. W...
PVLDB
2011
13 years 2 months ago
2011
Users of MapReduce often run into performance problems when they scale up their workloads. Many of the problems they encounter can be overcome by applying techniques learned from ...
SDM
2004
SIAM
13 years 9 months ago
2004
SIAM
It has long been known that Dynamic Time Warping (DTW) is superior to Euclidean distance for classification and clustering of time series. However, until lately, most research has...
CVPR
2010
IEEE
12 years 5 months ago
2010
IEEE
Robust tracking of abrupt motion is a challenging task
in computer vision due to the large motion uncertainty. In
this paper, we propose a stochastic approximation Monte
Carlo (...