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Beyond Moments: Extending the Maximum Entropy Principle to Feature Distribution Constraints

Entropy (Basel, Switzerland), 2018-08, Vol.20 (9), p.650

Baggenstoss, Paul M.

2018

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A Bayesian Classification Approach Using Class-Specific Features for Text Categorization

IEEE transactions on knowledge and data engineering, 2016-06, Vol.28 (6), p.1602-1606

2016

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IEEE_Xplore

On the Duality Between Belief Networks and Feed-Forward Neural Networks

IEEE transaction on neural networks and learning systems, 2019-01, Vol.30 (1), p.190-200

Baggenstoss, Paul M.

2019

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IEEE_Xplore

Discriminative Alignment of Projected Belief Networks

IEEE signal processing letters, 2021, Vol.28, p.1963-1967

Baggenstoss, Paul M.

2021

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IEEE_Xplore

Uniform Manifold Sampling (UMS): Sampling the Maximum Entropy PDF

IEEE transactions on signal processing, 2017-05, Vol.65 (9), p.2455-2470

Baggenstoss, Paul M.

2017

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Nonlinear Dimension Reduction by PDF Estimation

IEEE transactions on signal processing, 2022, Vol.70, p.1493-1505

2022

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IEEE_Xplore

A multi-hypothesis tracker for clicking whales

The Journal of the Acoustical Society of America, 2015-05, Vol.137 (5), p.2552-2562

Baggenstoss, Paul M

2015

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A Neural Network Based on First Principles

ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2020, p.4002-4006

Baggenstoss, Paul M

2020

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IEEE_Xplore

An algorithm for the localization of multiple interfering sperm whales using multi-sensor time difference of arrival

The Journal of the Acoustical Society of America, 2011-07, Vol.130 (1), p.102-112

Baggenstoss, Paul M.

2011

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The Jonker-Volgenant algorithm applied to click-train separation

The Journal of the Acoustical Society of America, 2014-05, Vol.135 (5), p.2485-2488

Baggenstoss, Paul M

2014

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Specular Decomposition of Active Sonar Returns using Combined Waveforms

IEEE transactions on aerospace and electronic systems, 2013-10, Vol.49 (4), p.2509-2521

Baggenstoss, Paul M.

2013

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IEEE_Xplore

Processing advances for localization of beaked whales using time difference of arrival

The Journal of the Acoustical Society of America, 2013-06, Vol.133 (6), p.4065-4076

Baggenstoss, Paul M

2013

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Recursive Decimation/Interpolation for ML Chirp Parameter Estimation

IEEE transactions on aerospace and electronic systems, 2014-01, Vol.50 (1), p.445-455

Baggenstoss, Paul M.

2014

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IEEE_Xplore

Comparing shift-autocorrelation with cepstrum for detection of burst pulses in impulsive noise

The Journal of the Acoustical Society of America, 2014-10, Vol.136 (4), p.1574-1582

2014

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EEF: Exponentially Embedded Families With Class-Specific Features for Classification

IEEE signal processing letters, 2016-07, Vol.23 (7), p.969-973

2016

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IEEE_Xplore

Separation of sperm whale click-trains for multipath rejection

The Journal of the Acoustical Society of America, 2011-06, Vol.129 (6), p.3598-3609

Baggenstoss, Paul M.

2011

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Class-specific model mixtures for the classification of acoustic time series

IEEE transactions on aerospace and electronic systems, 2016-08, Vol.52 (4), p.1937-1952

2016

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IEEE_Xplore

Two-Dimensional Hidden Markov Model for Classification of Continuous-Valued Noisy Vector Fields

IEEE transactions on aerospace and electronic systems, 2011-04, Vol.47 (2), p.1073-1080

Baggenstoss, Paul M

2011

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IEEE_Xplore

A Multi-Resolution Hidden Markov Model Using Class-Specific Features

IEEE transactions on signal processing, 2010-10, Vol.58 (10), p.5165-5177

Baggenstoss, P M

2010

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IEEE_Xplore

Convolutional generative models for underwater acoustic event classification

The Journal of the Acoustical Society of America, 2019-10, Vol.146 (4), p.2883-2884

Baggenstoss, Paul M.

2019

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Maximum Entropy PDF Design Using Feature Density Constraints: Applications in Signal Processing

IEEE transactions on signal processing, 2015-06, Vol.63 (11), p.2815-2825

Baggenstoss, Paul M.

2015

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IEEE_Xplore

The PDF projection theorem and the class-specific method

IEEE transactions on signal processing, 2003-03, Vol.51 (3), p.672-685

Baggenstoss, P.M.

2003

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IEEE_Xplore

Improved Auto-Encoding Using Deterministic Projected Belief Networks and Compound Activation Functions

2023 31st European Signal Processing Conference (EUSIPCO), 2023, p.1250-1254

Baggenstoss, Paul M

2023

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Novel Generative Classifier for Acoustic Events

2023 31st European Signal Processing Conference (EUSIPCO), 2023, p.196-200

2023

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Multidimensional probability density function approximations for detection, classification, and model order selection

IEEE transactions on signal processing, 2001-10, Vol.49 (10), p.2240-2252

2001

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IEEE_Xplore

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Beyond Moments: Extending the Maximum Entropy Principle to Feature Distribution Constraints

A Bayesian Classification Approach Using Class-Specific Features for Text Categorization

On the Duality Between Belief Networks and Feed-Forward Neural Networks

Discriminative Alignment of Projected Belief Networks

Uniform Manifold Sampling (UMS): Sampling the Maximum Entropy PDF

Nonlinear Dimension Reduction by PDF Estimation

A multi-hypothesis tracker for clicking whales

A Neural Network Based on First Principles

An algorithm for the localization of multiple interfering sperm whales using multi-sensor time difference of arrival

The Jonker-Volgenant algorithm applied to click-train separation

Specular Decomposition of Active Sonar Returns using Combined Waveforms

Processing advances for localization of beaked whales using time difference of arrival

Recursive Decimation/Interpolation for ML Chirp Parameter Estimation

Comparing shift-autocorrelation with cepstrum for detection of burst pulses in impulsive noise

EEF: Exponentially Embedded Families With Class-Specific Features for Classification

Separation of sperm whale click-trains for multipath rejection

Class-specific model mixtures for the classification of acoustic time series

Two-Dimensional Hidden Markov Model for Classification of Continuous-Valued Noisy Vector Fields

A Multi-Resolution Hidden Markov Model Using Class-Specific Features

Convolutional generative models for underwater acoustic event classification

Maximum Entropy PDF Design Using Feature Density Constraints: Applications in Signal Processing

The PDF projection theorem and the class-specific method

Improved Auto-Encoding Using Deterministic Projected Belief Networks and Compound Activation Functions

Novel Generative Classifier for Acoustic Events

Multidimensional probability density function approximations for detection, classification, and model order selection

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