2016 IEEE 26th International Workshop on Machine Learning for Signal Processing (MLSP)
Latest Publications

TOTAL DOCUMENTS

108

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Published By IEEE

9781509007462

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A block-based combined scheme exploiting sparsity in nonlinear acoustic echo cancellation

2016 IEEE 26th International Workshop on Machine Learning for Signal Processing (MLSP) ◽

10.1109/mlsp.2016.7738822 ◽

2016 ◽

Cited By ~ 2

Author(s):

Danilo Comminiello ◽

Michele Scarpiniti ◽

Luis A. Azpicueta-Ruiz ◽

Jeronimo Arenas-Garcia ◽

Aurelio Uncini

Keyword(s):

Echo Cancellation ◽

Acoustic Echo Cancellation ◽

Acoustic Echo ◽

Nonlinear Acoustic ◽

Block Based

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Designing interventions to mitigate cognitive biases in human decisions

2016 IEEE 26th International Workshop on Machine Learning for Signal Processing (MLSP) ◽

10.1109/mlsp.2016.7738838 ◽

2016 ◽

Author(s):

Naeem Akl ◽

Ahmed Tewfik

Keyword(s):

Cognitive Biases

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Mereological algebras as mechanisms for reasoning about sounds

2016 IEEE 26th International Workshop on Machine Learning for Signal Processing (MLSP) ◽

10.1109/mlsp.2016.7738853 ◽

2016 ◽

Cited By ~ 1

Author(s):

Rita Singh

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[Copyright notice]

2016 IEEE 26th International Workshop on Machine Learning for Signal Processing (MLSP) ◽

10.1109/mlsp.2016.7738804 ◽

2016 ◽

Keyword(s):

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Convex nonnegative matrix factorization with missing data

2016 IEEE 26th International Workshop on Machine Learning for Signal Processing (MLSP) ◽

10.1109/mlsp.2016.7738910 ◽

2016 ◽

Cited By ~ 3

Author(s):

Ronan Hamon ◽

Valentin Emiya ◽

Cedric Fevotte

Keyword(s):

Missing Data ◽

Matrix Factorization ◽

Nonnegative Matrix Factorization ◽

Nonnegative Matrix

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The influence of hyper-parameters in the infinite relational model

2016 IEEE 26th International Workshop on Machine Learning for Signal Processing (MLSP) ◽

10.1109/mlsp.2016.7738908 ◽

2016 ◽

Author(s):

Kristoffer J. Albers ◽

Morten Morup ◽

Mikkel N. Schmidt

Keyword(s):

Relational Model

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Bayesian learning for speech dereverberation

2016 IEEE 26th International Workshop on Machine Learning for Signal Processing (MLSP) ◽

10.1109/mlsp.2016.7738865 ◽

2016 ◽

Cited By ~ 1

Author(s):

Jen-Tzung Chien ◽

You-Cheng Chang

Keyword(s):

Bayesian Learning ◽

Speech Dereverberation

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On the use of support vector machines for the prediction of propagation losses in smart metering systems

2016 IEEE 26th International Workshop on Machine Learning for Signal Processing (MLSP) ◽

10.1109/mlsp.2016.7738887 ◽

2016 ◽

Cited By ~ 5

Author(s):

Martino Uccellari ◽

Francesca Facchini ◽

Matteo Sola ◽

Emilio Sirignano ◽

Giorgio M. Vitetta ◽

...

Keyword(s):

Support Vector Machines ◽

Support Vector ◽

Smart Metering ◽

Vector Machines ◽

Propagation Losses

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Toward a brain interface for tracking attended auditory sources

2016 IEEE 26th International Workshop on Machine Learning for Signal Processing (MLSP) ◽

10.1109/mlsp.2016.7738810 ◽

2016 ◽

Cited By ~ 2

Author(s):

Marzieh Haghighi ◽

Mohammad Moghadamfalahi ◽

Hooman Nezamfar ◽

Murat Akcakaya ◽

Deniz Erdogmus

Keyword(s):

Brain Interface

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Parameter estimation in conditionally Gaussian pairwise Markov switching models and unsupervised smoothing

2016 IEEE 26th International Workshop on Machine Learning for Signal Processing (MLSP) ◽

10.1109/mlsp.2016.7738907 ◽

2016 ◽

Cited By ~ 1

Author(s):

Fei Zheng ◽

Stephane Derrode ◽

Wojciech Pieczynski

Keyword(s):

Parameter Estimation ◽

Markov Switching ◽

Markov Switching Models ◽

Switching Models

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2016 IEEE 26th International Workshop on Machine Learning for Signal Processing (MLSP)Latest Publications

TOTAL DOCUMENTS

H-INDEX

Published By IEEE

A block-based combined scheme exploiting sparsity in nonlinear acoustic echo cancellation

Designing interventions to mitigate cognitive biases in human decisions

Mereological algebras as mechanisms for reasoning about sounds

[Copyright notice]

Convex nonnegative matrix factorization with missing data

The influence of hyper-parameters in the infinite relational model

Bayesian learning for speech dereverberation

On the use of support vector machines for the prediction of propagation losses in smart metering systems

Toward a brain interface for tracking attended auditory sources

Parameter estimation in conditionally Gaussian pairwise Markov switching models and unsupervised smoothing

2016 IEEE 26th International Workshop on Machine Learning for Signal Processing (MLSP)
Latest Publications