UB Paderborn / Katalog / Suche / in CDI

Unsupervised Learning of Image Manifolds by Semidefinite Programming

International journal of computer vision, 2006-10, Vol.70 (1), p.77-90

2006

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Nonlinear Dimensionality Reduction by Locally Linear Embedding

Science (American Association for the Advancement of Science), 2000-12, Vol.290 (5500), p.2323-2326

2000

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A tractable latent variable model for nonlinear dimensionality reduction

Proceedings of the National Academy of Sciences - PNAS, 2020-07, Vol.117 (27), p.15403-15408

Saul, Lawrence K.

2020

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Multiplicative Updates for Nonnegative Quadratic Programming

Neural computation, 2007-08, Vol.19 (8), p.2004-2031

2007

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An EM Algorithm for Capsule Regression

Neural computation, 2021-01, Vol.33 (1), p.194-226

Saul, Lawrence K.

2021

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An Introduction to Variational Methods for Graphical Models

Machine learning, 1999-11, Vol.37 (2), p.183-233

1999

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Think Globally, Fit Locally: Unsupervised Learning of Low Dimensional Manifolds

Journal of machine learning research, 2004-02, Vol.4 (2), p.119-155

2004

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Learning to detect malicious URLs

ACM transactions on intelligent systems and technology, 2011-04, Vol.2 (3), p.1-24

2011

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Large-Margin Classification in Infinite Neural Networks

Neural computation, 2010-10, Vol.22 (10), p.2678-2697

2010

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Comparison of Large Margin Training to Other Discriminative Methods for Phonetic Recognition by Hidden Markov Models

2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07, 2007, Vol.4, p.IV-313-IV-316

2007

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Online Learning and Acoustic Feature Adaptation in Large-Margin Hidden Markov Models

IEEE journal of selected topics in signal processing, 2010-12, Vol.4 (6), p.926-942

2010

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Fast solvers and efficient implementations for distance metric learning

Proceedings of the 25th international conference on Machine learning, 2008, p.1160-1167

2008

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IDES: An Internet Distance Estimation Service for Large Networks

IEEE journal on selected areas in communications, 2006-12, Vol.24 (12), p.2273-2284

2006

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Modeling distances in large-scale networks by matrix factorization

Internet Measurement Conference: Proceedings of the 4th ACM SIGCOMM conference on Internet measurement; 25-27 Oct. 2004, 2004, p.278-287

2004

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Multiplicative Updates for Large Margin Classifiers

Learning Theory and Kernel Machines, 2003, p.188-202

2003

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Markov Processes on Curves

Machine learning, 2000-12, Vol.41 (3), p.345

2000

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Judging a site by its content: learning the textual, structural, and visual features of malicious web pages

Proceedings of the 4th ACM workshop on Security and artificial intelligence, 2011, p.1-10

2011

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Beyond blacklists: learning to detect malicious web sites from suspicious URLs

Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining, 2009, p.1245-1254

2009

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Mean Field Theory for Sigmoid Belief Networks

The Journal of artificial intelligence research, 1996-01, Vol.4, p.61-76

1996

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Identifying suspicious URLs: an application of large-scale online learning

Proceedings of the 26th Annual International Conference on Machine Learning, 2009, p.681-688

2009

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A statistical model for robust integration of narrowband cues in speech

Computer speech & language, 2001-04, Vol.15 (2), p.175-194

2001

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Learning a kernel matrix for nonlinear dimensionality reduction

Proceedings of the twenty-first international conference on Machine learning, 2004, p.106

2004

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Topic modeling of freelance job postings to monitor web service abuse

Proceedings of the 4th ACM workshop on Security and artificial intelligence, 2011, p.11-20

2011

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Beyond heuristics: learning to classify vulnerabilities and predict exploits

Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining, 2010, p.105-114

2010

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Sparse decomposition of mixed audio signals by basis pursuit with autoregressive models

2009 IEEE International Conference on Acoustics, Speech and Signal Processing, 2009, p.1705-1708

2009

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Unsupervised Learning of Image Manifolds by Semidefinite Programming

Nonlinear Dimensionality Reduction by Locally Linear Embedding

A tractable latent variable model for nonlinear dimensionality reduction

Multiplicative Updates for Nonnegative Quadratic Programming

An EM Algorithm for Capsule Regression

An Introduction to Variational Methods for Graphical Models

Think Globally, Fit Locally: Unsupervised Learning of Low Dimensional Manifolds

Learning to detect malicious URLs

Large-Margin Classification in Infinite Neural Networks

Comparison of Large Margin Training to Other Discriminative Methods for Phonetic Recognition by Hidden Markov Models

Online Learning and Acoustic Feature Adaptation in Large-Margin Hidden Markov Models

Fast solvers and efficient implementations for distance metric learning

IDES: An Internet Distance Estimation Service for Large Networks

Modeling distances in large-scale networks by matrix factorization

Multiplicative Updates for Large Margin Classifiers

Markov Processes on Curves

Judging a site by its content: learning the textual, structural, and visual features of malicious web pages

Beyond blacklists: learning to detect malicious web sites from suspicious URLs

Mean Field Theory for Sigmoid Belief Networks

Identifying suspicious URLs: an application of large-scale online learning

A statistical model for robust integration of narrowband cues in speech

Learning a kernel matrix for nonlinear dimensionality reduction

Topic modeling of freelance job postings to monitor web service abuse

Beyond heuristics: learning to classify vulnerabilities and predict exploits

Sparse decomposition of mixed audio signals by basis pursuit with autoregressive models

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