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» Classifier Selection Based on Data Complexity Measures
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MIR
2003
ACM
146views Multimedia» more  MIR 2003»
15 years 3 months ago
Distance measures for MPEG-7-based retrieval
In visual information retrieval the careful choice of suitable proximity measures is a crucial success factor. The evaluation presented in this paper aims at showing that the dist...
Horst Eidenberger
ISMIR
2004
Springer
156views Music» more  ISMIR 2004»
15 years 3 months ago
Artist Classification with Web-Based Data
Manifold approaches exist for organization of music by genre and/or style. In this paper we propose the use of text categorization techniques to classify artists present on the In...
Peter Knees, Elias Pampalk, Gerhard Widmer
SAC
2006
ACM
15 years 3 months ago
The impact of sample reduction on PCA-based feature extraction for supervised learning
“The curse of dimensionality” is pertinent to many learning algorithms, and it denotes the drastic raise of computational complexity and classification error in high dimension...
Mykola Pechenizkiy, Seppo Puuronen, Alexey Tsymbal
JUCS
2008
130views more  JUCS 2008»
14 years 9 months ago
Feature Selection for the Classification of Large Document Collections
: Feature selection methods are often applied in the context of document classification. They are particularly important for processing large data sets that may contain millions of...
Janez Brank, Dunja Mladenic, Marko Grobelnik, Nata...
TSD
2004
Springer
15 years 3 months ago
Looking at the Last Two Turns, I'd Say This Dialogue Is Doomed - Measuring Dialogue Success
Two sets of linguistic features are developed: The first one to estimate if a single step in a dialogue between a human being and a machine is successful or not. The second set to...
Stefan Steidl, Christian Hacker, Christine Ruff, A...