2009 IEEE International Workshop on Machine Learning for Signal Processing
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Published By IEEE

9781424449477

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Extension of ROC curve

2009 IEEE International Workshop on Machine Learning for Signal Processing ◽

10.1109/mlsp.2009.5306237 ◽

2009 ◽

Author(s):

Takashi Takenouchi ◽

Shinto Eguchi

Keyword(s):

Roc Curve

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ECG denoising and compression by sparse 2D separable transform with overcomplete mixed dictionaries

2009 IEEE International Workshop on Machine Learning for Signal Processing ◽

10.1109/mlsp.2009.5306223 ◽

2009 ◽

Cited By ~ 4

Author(s):

A. Ghaffari ◽

H. Palangi ◽

M. Babaie-Zadeh ◽

C. Jutten

Keyword(s):

Ecg Denoising

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A new approach for motherese detection using a semi-supervised algorithm

2009 IEEE International Workshop on Machine Learning for Signal Processing ◽

10.1109/mlsp.2009.5306198 ◽

2009 ◽

Cited By ~ 4

Author(s):

Ammar Mahdhaoui ◽

Mohamed Chetouani

Keyword(s):

New Approach

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Source separation of baseband signals in Post-Nonlinear mixtures

2009 IEEE International Workshop on Machine Learning for Signal Processing ◽

10.1109/mlsp.2009.5306214 ◽

2009 ◽

Cited By ~ 2

Author(s):

L. T. Duarte ◽

C. Jutten ◽

B. Rivet ◽

R. Suyama ◽

R. Attux ◽

...

Keyword(s):

Source Separation ◽

Nonlinear Mixtures

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Multi-class classifiers based on binary classifiers: Performance, efficiency, and minimum coding matrix distances

2009 IEEE International Workshop on Machine Learning for Signal Processing ◽

10.1109/mlsp.2009.5306199 ◽

2009 ◽

Author(s):

Fokko Beekhof ◽

Sviatoslav Voloshynovskiy ◽

Oleksiy Koval ◽

Taras Holotyak

Keyword(s):

Binary Classifiers

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Simplex decompositions for real-valued datasets

2009 IEEE International Workshop on Machine Learning for Signal Processing ◽

10.1109/mlsp.2009.5306224 ◽

2009 ◽

Cited By ~ 1

Author(s):

Madhusudana Shashanka

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On the likelihood function of HMMs for a long data sequence

2009 IEEE International Workshop on Machine Learning for Signal Processing ◽

10.1109/mlsp.2009.5306222 ◽

2009 ◽

Cited By ~ 2

Author(s):

Keisuke Yamazak

Keyword(s):

Likelihood Function ◽

Data Sequence

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Robots controlled by neural networks trained based on brain signals

2009 IEEE International Workshop on Machine Learning for Signal Processing ◽

10.1109/mlsp.2009.5306264 ◽

2009 ◽

Author(s):

Genci Capi ◽

Toshihide Takahashi ◽

Kazunori Urushiyama ◽

Shigenori Kawahara

Keyword(s):

Neural Networks ◽

Brain Signals

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MLSP 2009 Program Committee

2009 IEEE International Workshop on Machine Learning for Signal Processing ◽

10.1109/mlsp.2009.5306252 ◽

2009 ◽

Keyword(s):

Program Committee

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Hierarchical Bayesian model for simultaneous EEG source and forward model reconstruction (SOFOMORE)

2009 IEEE International Workshop on Machine Learning for Signal Processing ◽

10.1109/mlsp.2009.5306189 ◽

2009 ◽

Cited By ~ 1

Author(s):

Carsten Stahlhut ◽

Morten Morup ◽

Ole Winther ◽

Lars Kai Hansen

Keyword(s):

Bayesian Model ◽

Forward Model ◽

Hierarchical Bayesian ◽

Hierarchical Bayesian Model ◽

Model Reconstruction

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2009 IEEE International Workshop on Machine Learning for Signal ProcessingLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By IEEE

Extension of ROC curve

ECG denoising and compression by sparse 2D separable transform with overcomplete mixed dictionaries

A new approach for motherese detection using a semi-supervised algorithm

Source separation of baseband signals in Post-Nonlinear mixtures

Multi-class classifiers based on binary classifiers: Performance, efficiency, and minimum coding matrix distances

Simplex decompositions for real-valued datasets

On the likelihood function of HMMs for a long data sequence

Robots controlled by neural networks trained based on brain signals

MLSP 2009 Program Committee

Hierarchical Bayesian model for simultaneous EEG source and forward model reconstruction (SOFOMORE)

2009 IEEE International Workshop on Machine Learning for Signal Processing
Latest Publications