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» Classifier Selection Based on Data Complexity Measures
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ISCAS
2008
IEEE
124views Hardware» more  ISCAS 2008»
15 years 4 months ago
Musical beat tracking via Kalman filtering and noisy measurements selection
— We study the problem of automatic musical beat tracking from acoustic data, i.e., finding locations of beats of a music piece by computers on-the-fly, in this work. An online...
Yu Shiu, C. C. Jay Kuo
JIPS
2006
72views more  JIPS 2006»
14 years 9 months ago
A Feature Selection Technique based on Distributional Differences
: This paper presents a feature selection technique based on distributional differences for efficient machine learning. Initial training data consists of data including many featur...
Sung-Dong Kim
AUSAI
2006
Springer
15 years 1 months ago
Virtual Attribute Subsetting
Attribute subsetting is a meta-classification technique, based on learning multiple base-level classifiers on projections of the training data. In prior work with nearest-neighbour...
Michael Horton, R. Mike Cameron-Jones, Raymond Wil...
EWCBR
2008
Springer
14 years 11 months ago
Visualizing and Evaluating Complexity of Textual Case Bases
We present an approach to visualize textual case bases by "stacking" similar cases and features close to each other in an image derived from the casefeature matrix. We pr...
Sutanu Chakraborti, Ulises Cerviño Beresi, ...
PAMI
2010
276views more  PAMI 2010»
14 years 8 months ago
Local-Learning-Based Feature Selection for High-Dimensional Data Analysis
—This paper considers feature selection for data classification in the presence of a huge number of irrelevant features. We propose a new feature selection algorithm that addres...
Yijun Sun, Sinisa Todorovic, Steve Goodison