1174 search results - page 85 / 235 » Boosting for transfer learning |
92
Voted
ALT
2008
Springer
15 years 9 months ago
2008
Springer
In this paper we discuss boosting algorithms that maximize the soft margin of the produced linear combination of base hypotheses. LPBoost is the most straightforward boosting algor...
157
Voted
ECCV
2004
Springer
16 years 2 months ago
2004
Springer
The problem of tracking a varying number of non-rigid objects has two major difficulties. First, the observation models and target distributions can be highly non-linear and non-Ga...
115
Voted
NIPS
2008
15 years 2 months ago
2008
We study the problem of domain transfer for a supervised classification task in mRNA splicing. We consider a number of recent domain transfer methods from machine learning, includ...
FECS
2006
15 years 2 months ago
2006
- The use of computational methods for solving partial differential equations in the field of Heat Transfer is crucial. However, the actual user friendly commercial applications, f...
109
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ICASSP
2010
IEEE
14 years 10 months ago
2010
IEEE
We propose a new approach to semi-supervised clustering that utilizes boosting to simultaneously learn both a similarity measure and a clustering of the data from given instancele...