2363 search results - page 308 / 473 » Learning Algorithms for Domain Adaptation |
106
Voted
ICASSP
2010
IEEE
15 years 23 days ago
2010
IEEE
Gaussian mixture models (GMMs) are a convenient and essential tool for the estimation of probability density functions. Although GMMs are used in many research domains from image ...
131
Voted
ICML
2001
IEEE
16 years 1 months ago
2001
IEEE
Clustering is traditionally viewed as an unsupervised method for data analysis. However, in some cases information about the problem domain is available in addition to the data in...
90
Voted
WWW
2006
ACM
16 years 1 months ago
2006
ACM
In this paper we describe a solution for incorporating background knowledge into the OntoGen system for semi-automatic ontology construction. This makes it easier for different us...
111
Voted
SAC
2009
ACM
15 years 7 months ago
2009
ACM
Incorporating background knowledge into data mining algorithms is an important but challenging problem. Current approaches in semi-supervised learning require explicit knowledge p...
125
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ICB
2009
Springer
15 years 7 months ago
2009
Springer
The small sample size problem and the difficulty in determining the optimal reduced dimension limit the application of subspace learning methods in the gait recognition domain. To...