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» Domain Adaptation with Multiple Sources
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ICASSP
2011
IEEE
12 years 11 months ago
Adaptation of source-specific dictionaries in Non-Negative Matrix Factorization for source separation
This paper concerns the adaptation of spectrum dictionaries in audio source separation with supervised learning. Supposing that samples of the audio sources to separate are availa...
Xabier Jaureguiberry, Pierre Leveau, Simon Maller,...
DKE
1998
87views more  DKE 1998»
13 years 7 months ago
Using Natural Language Sources in Model-Based Knowledge Acquisition
This paper introduces a well defined co-operation between domain expert, knowledge engineer, and knowledge acquisition and transformation tools. First, the domain expert supported...
Gabriele Schmidt, Thomas Wetter
KDD
2009
ACM
230views Data Mining» more  KDD 2009»
14 years 8 months ago
Cross domain distribution adaptation via kernel mapping
When labeled examples are limited and difficult to obtain, transfer learning employs knowledge from a source domain to improve learning accuracy in the target domain. However, the...
ErHeng Zhong, Wei Fan, Jing Peng, Kun Zhang, Jiang...
SIGIR
2006
ACM
14 years 1 months ago
Probabilistic latent query analysis for combining multiple retrieval sources
Combining the output from multiple retrieval sources over the same document collection is of great importance to a number of retrieval tasks such as multimedia retrieval, web retr...
Rong Yan, Alexander G. Hauptmann
HICSS
1997
IEEE
75views Biometrics» more  HICSS 1997»
13 years 12 months ago
The Voting-Type Technique in the Refinement of Multiple Expert Knowledge
The goal of this paper is to develop methods to handle inconsistent knowledge elicited from multiple sources. Knowledge is represented using predicates that define relationships w...
Seppo Puuronen, Vagan Y. Terziyan