2008 IEEE Workshop on Machine Learning for Signal Processing
Latest Publications

TOTAL DOCUMENTS

(FIVE YEARS 0)

H-INDEX

(FIVE YEARS 0)

Published By IEEE

9781424423750

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Learning on varifolds

2008 IEEE Workshop on Machine Learning for Signal Processing ◽

10.1109/mlsp.2008.4685510 ◽

2008 ◽

Cited By ~ 1

Author(s):

Lei Ding

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Content addressable memories in reproducing Kernel Hilbert spaces

2008 IEEE Workshop on Machine Learning for Signal Processing ◽

10.1109/mlsp.2008.4685447 ◽

2008 ◽

Cited By ~ 1

Author(s):

Erion Hasanbelliu ◽

Jose C. Principe

Keyword(s):

Hilbert Spaces ◽

Reproducing Kernel ◽

Reproducing Kernel Hilbert Spaces ◽

Content Addressable Memories ◽

Kernel Hilbert Spaces

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Regression using Gaussian Process manifold kernel dimensionality reduction

2008 IEEE Workshop on Machine Learning for Signal Processing ◽

10.1109/mlsp.2008.4685448 ◽

2008 ◽

Author(s):

Kooksang Moon ◽

Vladimir Pavlovic

Keyword(s):

Dimensionality Reduction ◽

Gaussian Process

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Simple and efficient algorithm for distributed compressed sensing

2008 IEEE Workshop on Machine Learning for Signal Processing ◽

10.1109/mlsp.2008.4685456 ◽

2008 ◽

Cited By ~ 3

Author(s):

Anh Huy Phan ◽

Andrzej Cichocki ◽

Kim Sach Nguyen

Keyword(s):

Compressed Sensing ◽

Efficient Algorithm ◽

Distributed Compressed Sensing

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On whitening for Krylov-proportionate normalized least-mean-square algorithm

2008 IEEE Workshop on Machine Learning for Signal Processing ◽

10.1109/mlsp.2008.4685499 ◽

2008 ◽

Cited By ~ 3

Author(s):

Masahiro Yukawa

Keyword(s):

Mean Square ◽

Least Mean Square ◽

Normalized Least Mean Square ◽

Least Mean Square Algorithm

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Model-robust Design of Experiments for sequential identification of ODE parameters

2008 IEEE Workshop on Machine Learning for Signal Processing ◽

10.1109/mlsp.2008.4685516 ◽

2008 ◽

Author(s):

Hassan El Abiad ◽

Laurent Le Brusquet ◽

Marie-Eve Davoust

Keyword(s):

Design Of Experiments ◽

Robust Design

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State-of-the-art sequence kernels for SVM speaker verification

2008 IEEE Workshop on Machine Learning for Signal Processing ◽

10.1109/mlsp.2008.4685530 ◽

2008 ◽

Cited By ~ 1

Author(s):

Jerome Louradour ◽

Khalid Daoudi

Keyword(s):

State Of The Art ◽

Speaker Verification

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Dimensionality reduction of flow cytometric data through information preservation

2008 IEEE Workshop on Machine Learning for Signal Processing ◽

10.1109/mlsp.2008.4685524 ◽

2008 ◽

Author(s):

Kevin M. Carter ◽

Raviv Raich ◽

William G. Finn ◽

Alfred O. Hero

Keyword(s):

Dimensionality Reduction ◽

Flow Cytometric Data ◽

Information Preservation ◽

Flow Cytometric

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Principal graphs and piecewise linear subspace constrained mean-shift

2008 IEEE Workshop on Machine Learning for Signal Processing ◽

10.1109/mlsp.2008.4685520 ◽

2008 ◽

Cited By ~ 1

Author(s):

Umut Ozertem ◽

Deniz Erdogmus

Keyword(s):

Linear Subspace ◽

Piecewise Linear ◽

Mean Shift

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Blind signal extraction via direct mutual information minimization

2008 IEEE Workshop on Machine Learning for Signal Processing ◽

10.1109/mlsp.2008.4685454 ◽

2008 ◽

Cited By ~ 1

Author(s):

Jani Even ◽

Hiroshi Saruwatari ◽

Kiyohiro Shikano

Keyword(s):

Mutual Information ◽

Signal Extraction ◽

Blind Signal ◽

Blind Signal Extraction

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2008 IEEE Workshop on Machine Learning for Signal ProcessingLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By IEEE

Learning on varifolds

Content addressable memories in reproducing Kernel Hilbert spaces

Regression using Gaussian Process manifold kernel dimensionality reduction

Simple and efficient algorithm for distributed compressed sensing

On whitening for Krylov-proportionate normalized least-mean-square algorithm

Model-robust Design of Experiments for sequential identification of ODE parameters

State-of-the-art sequence kernels for SVM speaker verification

Dimensionality reduction of flow cytometric data through information preservation

Principal graphs and piecewise linear subspace constrained mean-shift

Blind signal extraction via direct mutual information minimization

2008 IEEE Workshop on Machine Learning for Signal Processing
Latest Publications