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» Learning with Few Examples by Transferring Feature Relevance
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ISMIR
2005
Springer
127views Music» more  ISMIR 2005»
15 years 3 months ago
Distributed Audio Feature Extraction for Music
One of the important challenges facing music information retrieval (MIR) of audio signals is scaling analysis algorithms to large collections. Typically, analysis of audio signals...
Stuart Bray, George Tzanetakis
EDBT
2011
ACM
254views Database» more  EDBT 2011»
14 years 1 months ago
SocialSearch: enhancing entity search with social network matching
This paper introduces the problem of matching people names to their corresponding social network identities such as their Twitter accounts. Existing tools for this purpose build u...
Gae-won You, Seung-won Hwang, Zaiqing Nie, Ji-Rong...
66
Voted
ESANN
2006
14 years 11 months ago
Fuzzy image segmentation with Fuzzy Labelled Neural Gas
Abstract. Processing biological data often requires handling of uncertain and sometimes inconsistent information. Particularly when coping with image segmentation tasks against bio...
Cornelia Brüß, Felix Bollenbeck, Frank-...
ICANN
2007
Springer
15 years 1 months ago
Active Learning to Support the Generation of Meta-examples
Meta-Learning has been used to select algorithms based on the features of the problems being tackled. Each training example in this context, i.e. each meta-example, stores the feat...
Ricardo Bastos Cavalcante Prudêncio, Teresa ...
IEAAIE
2003
Springer
15 years 2 months ago
Fast Feature Selection by Means of Projections
The attribute selection techniques for supervised learning, used in the preprocessing phase to emphasize the most relevant attributes, allow making models of classification simple...
Roberto Ruiz, José Cristóbal Riquelm...