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» Classifying Relational Data with Neural Networks
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171
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ISNN
2011
Springer
14 years 2 months ago
Orthogonal Feature Learning for Time Series Clustering
This paper presents a new method that uses orthogonalized features for time series clustering and classification. To cluster or classify time series data, either original data or...
Xiaozhe Wang, Leo Lopes
115
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PRIS
2004
15 years 1 months ago
Pattern Recognition Algorithms for Polyphonic Music Transcription
Abstract. The main area of work in computer music related to information systems is known as music information retrieval (MIR). Databases containing musical information can be clas...
Antonio Pertusa, José Manuel Iñesta ...
100
Voted
NECO
2006
157views more  NECO 2006»
14 years 11 months ago
Experiments with AdaBoost.RT, an Improved Boosting Scheme for Regression
The application of boosting technique to the regression problems has received relatively little attention in contrast to the research aimed at classification problems. This paper ...
Durga L. Shrestha, Dimitri P. Solomatine
ISNN
2010
Springer
15 years 4 months ago
Applications of Second Order Blind Identification to High-Density EEG-Based Brain Imaging: A Review
In the context of relating specific brain functions to specific brain structures, second-order blind identification (SOBI) is one of the blind source separation algorithms that hav...
Akaysha Tang
ISNN
2010
Springer
15 years 1 months ago
Multi-modal EEG Online Visualization and Neuro-Feedback
Brain computer interface (BCI) is a communication pathway between brain and peripheral devices, which is promising in the field of rehabilitation and helps to improve the life qual...
Kan Hong, Liqing Zhang, Jie Li, Junhua Li