Sciweavers

23 search results - page 3 / 5
» An analysis of how training data complexity affects the near...
Sort
View
ICASSP
2011
IEEE
12 years 11 months ago
Evaluating music sequence models through missing data
Building models of the structure in musical signals raises the question of how to evaluate and compare different modeling approaches. One possibility is to use the model to impute...
Thierry Bertin-Mahieux, Graham Grindlay, Ron J. We...
SDM
2003
SIAM
184views Data Mining» more  SDM 2003»
13 years 8 months ago
Finding Clusters of Different Sizes, Shapes, and Densities in Noisy, High Dimensional Data
The problem of finding clusters in data is challenging when clusters are of widely differing sizes, densities and shapes, and when the data contains large amounts of noise and out...
Levent Ertöz, Michael Steinbach, Vipin Kumar
MCS
2000
Springer
13 years 11 months ago
Classifier Instability and Partitioning
Various methods exist for reducing correlation between classifiers in a multiple classifier framework. The expectation is that the composite classifier will exhibit improved perfor...
Terry Windeatt
IJDAR
2002
116views more  IJDAR 2002»
13 years 7 months ago
Performance evaluation of pattern classifiers for handwritten character recognition
Abstract. This paper describes a performance evaluation study in which some efficient classifiers are tested in handwritten digit recognition. The evaluated classifiers include a s...
Cheng-Lin Liu, Hiroshi Sako, Hiromichi Fujisawa
ISMIR
2004
Springer
162views Music» more  ISMIR 2004»
14 years 24 days ago
Features and classifiers for the automatic classification of musical audio signals
Several factors affecting the automatic classification of musical audio signals are examined. Classification is performed on short audio frames and results are reported as “ba...
Kristopher West, Stephen Cox