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ISMIR
2004
Springer
204views Music» more  ISMIR 2004»
15 years 6 months ago
Automatic Genre Classification Using Large High-Level Musical Feature Sets
This paper presents a system that extracts 109 musical features from symbolic recordings (MIDI, in this case) and uses them to classify the recordings by genre. The features used ...
Cory McKay, Ichiro Fujinaga
97
Voted
ILP
2003
Springer
15 years 6 months ago
A Comparative Evaluation of Feature Set Evolution Strategies for Multirelational Boosting
Boosting has established itself as a successful technique for decreasing the generalization error of classification learners by basing predictions on ensembles of hypotheses. Whil...
Susanne Hoche, Stefan Wrobel
100
Voted
ICDAR
2007
IEEE
15 years 7 months ago
Elastic Matching of Online Handwritten Tamil and Telugu Scripts Using Local Features
This paper describes character based elastic matching using local features for recognizing online handwritten data. Dynamic Time Warping (DTW) has been used with four different fe...
L. Prasanth, V. Babu, R. Sharma, G. V. Rao, Dinesh...
106
Voted
ICDM
2010
IEEE
142views Data Mining» more  ICDM 2010»
14 years 10 months ago
Causal Discovery from Streaming Features
In this paper, we study a new research problem of causal discovery from streaming features. A unique characteristic of streaming features is that not all features can be available ...
Kui Yu, Xindong Wu, Hao Wang, Wei Ding
94
Voted
ICUIMC
2009
ACM
15 years 7 months ago
PicAChoo: a tool for customizable feature extraction utilizing characteristics of textual data
Although documents have hundreds of thousands of unique words, only a small number of words are significantly useful for intelligent services. For this reason, feature extraction ...
Jaeseok Myung, Jung-Yeon Yang, Sang-goo Lee