98 search results - page 16 / 20 » Optimizing Ada on the fly |
90
Voted
ICPR
2008
IEEE
16 years 27 days ago
2008
IEEE
Online Boosting is an effective incremental learning method which can update weak classifiers efficiently according to the object being trackedt. It is a promising technique for o...
108
click to vote
ICRA
2009
IEEE
15 years 6 months ago
2009
IEEE
—We present an application of machine learning to the semi-automatic synthesis of robust servo-trackers for underwater robotics. In particular, we investigate an approach based o...
ICASSP
2008
IEEE
15 years 6 months ago
2008
IEEE
Bagging is an ensemble method that uses random resampling of a dataset to construct models. In classification scenarios, the random resampling procedure in bagging induces some c...
89
Voted
VLDB
2007
ACM
15 years 5 months ago
2007
ACM
Data publishing generates much concern over the protection of individual privacy. In the well-known kanonymity model and the related models such as l-diversity and (α, k)-anonymi...
106
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CVPR
2010
IEEE
15 years 5 months ago
2010
IEEE
We present an approach for online learning of discriminative appearance models for robust multi-target tracking in a crowded scene from a single camera. Although much progress has...