1174 search results - page 72 / 235 » Boosting for transfer learning |
100
Voted
PAKDD
2004
ACM
15 years 6 months ago
2004
ACM
Supporting continuous mining queries on data streams requires algorithms that (i) are fast, (ii) make light demands on memory resources, and (iii) are easily to adapt to concept dr...
100
Voted
ICPR
2008
IEEE
16 years 2 months 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...
122
Voted
CVPR
2005
IEEE
15 years 6 months ago
2005
IEEE
With the aim to design a general learning framework for detecting faces of various poses or under different lighting conditions, we are motivated to formulate the task as a classi...
107
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FGR
2004
IEEE
15 years 4 months ago
2004
IEEE
An extension of the AdaBoost learning algorithm is proposed and brought to bear on the face detection problem. In each weak classifier selection cycle, the novel totally correctiv...
129
Voted
ICASSP
2011
IEEE
14 years 4 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...