UB Paderborn / Katalog / Suche / in CDI

Multidimensional Vector Regression for Accurate and Low-Cost Location Estimation in Pervasive Computing

IEEE transactions on knowledge and data engineering, 2006-09, Vol.18 (9), p.1181-1193

2006

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IEEE_Xplore

Maximum Penalized Likelihood Kernel Regression for Fast Adaptation

IEEE transactions on audio, speech, and language processing, 2009-09, Vol.17 (7), p.1372-1381

2009

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IEEE_Xplore

Embedded kernel eigenvoice speaker adaptation and its implication to reference speaker weighting

IEEE transactions on audio, speech, and language processing, 2006-07, Vol.14 (4), p.1267-1280

2006

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IEEE_Xplore

The pre-image problem in kernel methods

IEEE transactions on neural networks, 2004-11, Vol.15 (6), p.1517-1525

2004

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IEEE_Xplore

A novel incremental principal component analysis and its application for face recognition

IEEE transactions on systems, man and cybernetics. Part B, Cybernetics, 2006-08, Vol.36 (4), p.873-886

2006

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IEEE_Xplore

Maximum Margin Clustering Made Practical

IEEE transactions on neural networks, 2009-04, Vol.20 (4), p.583-596

2009

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IEEE_Xplore

Building Sparse Multiple-Kernel SVM Classifiers

IEEE transactions on neural networks, 2009-05, Vol.20 (5), p.827-839

2009

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IEEE_Xplore

Fusing images with different focuses using support vector machines

IEEE transactions on neural networks, 2004-11, Vol.15 (6), p.1555-1561

2004

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IEEE_Xplore

Large-Scale Maximum Margin Discriminant Analysis Using Core Vector Machines

IEEE transactions on neural networks, 2008-04, Vol.19 (4), p.610-624

2008

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IEEE_Xplore

Matrix-Variate Factor Analysis and Its Applications

IEEE transactions on neural networks, 2008-10, Vol.19 (10), p.1821-1826

2008

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IEEE_Xplore

A Class of Single-Class Minimax Probability Machines for Novelty Detection

IEEE transactions on neural networks, 2007-05, Vol.18 (3), p.778-785

2007

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IEEE_Xplore

Kernel eigenvoice speaker adaptation

IEEE transactions on speech and audio processing, 2005-09, Vol.13 (5), p.984-992

2005

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IEEE_Xplore

(La 0.75Sr 0.25)(Cr 0.5Mn 0.5)O 3/YSZ composite anodes for methane oxidation reaction in solid oxide fuel cells

Solid state ionics, 2006, Vol.177 (1), p.149-157

2006

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Accelerated Gradient Method for Multi-task Sparse Learning Problem

2009 Ninth IEEE International Conference on Data Mining, 2009, p.746-751

2009

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IEEE_Xplore

Applying neighborhood consistency for fast clustering and kernel density estimation

2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05), 2005, Vol.2, p.1001-1007 vol. 2

2005

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IEEE_Xplore

Simplifying Mixture Models Through Function Approximation

IEEE transactions on neural networks, 2010-04, Vol.21 (4), p.644-658

2010

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IEEE_Xplore

Fast Speaker Adaption Via Maximum Penalized Likelihood Kernel Regression

2006 IEEE International Conference on Acoustics Speech and Signal Processing Proceedings, 2006, Vol.1, p.I-I

2006

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IEEE_Xplore

Rival penalized competitive learning for model-based sequence clustering

Proceedings 15th International Conference on Pattern Recognition. ICPR-2000, 2000, Vol.2, p.195-198 vol.2

2000

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IEEE_Xplore

Multimodal Registration using the Discrete Wavelet Frame Transform

18th International Conference on Pattern Recognition (ICPR'06), 2006, Vol.3, p.877-880

2006

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IEEE_Xplore

A study of various composite kernels for kernel eigenvoice speaker adaptation

2004 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2004, Vol.1, p.I-325

2004

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IEEE_Xplore

Improving de-noising by coefficient de-noising and dyadic wavelet transform

Object recognition supported by user interaction for service robots, 2002, Vol.2, p.273-276 vol.2

2002

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IEEE_Xplore

Efficient hyperkernel learning using second-order cone programming

IEEE transactions on neural networks, 2006-01, Vol.17 (1), p.48-58

2006

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IEEE_Xplore

Moderating the outputs of support vector machine classifiers

IEEE transactions on neural networks, 1999, Vol.10 (5), p.1018-1031

Kwok, J.T.-Y.

1999

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IEEE_Xplore

Linear dependency between [epsilon] and the input noise in [epsilon]-support vector regression

IEEE transactions on neural networks, 2003-05, Vol.14 (3), p.544

2003

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Linear dependency between Σ and the input noise in Σ-support vector regression

IEEE transactions on neural networks, 2003-05, Vol.14 (3), p.544-553

2003

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Multidimensional Vector Regression for Accurate and Low-Cost Location Estimation in Pervasive Computing

Maximum Penalized Likelihood Kernel Regression for Fast Adaptation

Embedded kernel eigenvoice speaker adaptation and its implication to reference speaker weighting

The pre-image problem in kernel methods

A novel incremental principal component analysis and its application for face recognition

Maximum Margin Clustering Made Practical

Building Sparse Multiple-Kernel SVM Classifiers

Fusing images with different focuses using support vector machines

Large-Scale Maximum Margin Discriminant Analysis Using Core Vector Machines

Matrix-Variate Factor Analysis and Its Applications

A Class of Single-Class Minimax Probability Machines for Novelty Detection

Kernel eigenvoice speaker adaptation

(La 0.75Sr 0.25)(Cr 0.5Mn 0.5)O 3/YSZ composite anodes for methane oxidation reaction in solid oxide fuel cells

Accelerated Gradient Method for Multi-task Sparse Learning Problem

Applying neighborhood consistency for fast clustering and kernel density estimation

Simplifying Mixture Models Through Function Approximation

Fast Speaker Adaption Via Maximum Penalized Likelihood Kernel Regression

Rival penalized competitive learning for model-based sequence clustering

Multimodal Registration using the Discrete Wavelet Frame Transform

A study of various composite kernels for kernel eigenvoice speaker adaptation

Improving de-noising by coefficient de-noising and dyadic wavelet transform

Efficient hyperkernel learning using second-order cone programming

Moderating the outputs of support vector machine classifiers

Linear dependency between [epsilon] and the input noise in [epsilon]-support vector regression

Linear dependency between Σ and the input noise in Σ-support vector regression

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