Peder A. Olsen

Orcid: 0000-0002-3836-8017

According to our database1, Peder A. Olsen authored at least 78 papers between 1992 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Earth+: on-board satellite imagery compression leveraging historical earth observations.
CoRR, 2024

2023
Seeing Through Clouds in Satellite Images.
IEEE Trans. Geosci. Remote. Sens., 2023

An Iterative Method for Hyperspectral Pixel Unmixing Leveraging Latent Dirichlet Variational Autoencoder.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

2022
Location Aware Super-Resolution for Satellite Data Fusion.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

2020
Crowd Counting with Decomposed Uncertainty.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Counting and Segmenting Sorghum Heads.
CoRR, 2019

2018
Improving Simple Models with Confidence Profiles.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Detecting and Counting Panicles in Sorghum Images.
Proceedings of the 5th IEEE International Conference on Data Science and Advanced Analytics, 2018

2016
Removing Clouds and Recovering Ground Observations in Satellite Image Sequences via Temporally Contiguous Robust Matrix Completion.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015
Managing healthcare costs by peer-group modeling.
Appl. Intell., 2015

2014
A variational approach to stable principal component pursuit.
Proceedings of the Thirtieth Conference on Uncertainty in Artificial Intelligence, 2014

Graphical Models for Identifying Fraud and Waste in Healthcare Claims.
Proceedings of the 2014 SIAM International Conference on Data Mining, 2014

QUIC & DIRTY: A Quadratic Approximation Approach for Dirty Statistical Models.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Nuclear Norm Minimization via Active Subspace Selection.
Proceedings of the 31th International Conference on Machine Learning, 2014

2013
Second Order Methods for Optimizing Convex Matrix Functions and Sparse Covariance Clustering.
IEEE Trans. Speech Audio Process., 2013

State of the art discriminative training of subspace constrained Gaussian mixture models in big training corpora.
Proceedings of the IEEE International Conference on Acoustics, 2013

2012
Hidden Markov Acoustic Modeling With Bootstrap and Restructuring for Low-Resourced Languages.
IEEE Trans. Speech Audio Process., 2012

Newton-Like Methods for Sparse Inverse Covariance Estimation.
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

Affine invariant sparse maximum a posteriori adaptation.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

2011
Acoustic Modeling with Bootstrap and Restructuring Based on Full Covariance.
Proceedings of the INTERSPEECH 2011, 2011

Rapid feature space MLLR speaker adaptation with bilinear models.
Proceedings of the IEEE International Conference on Acoustics, 2011

Discriminative training for full covariance models.
Proceedings of the IEEE International Conference on Acoustics, 2011

A-Functions: A generalization of Extended Baum-Welch transformations to convex optimization.
Proceedings of the IEEE International Conference on Acoustics, 2011

Front-end feature transforms with context filtering for speaker adaptation.
Proceedings of the IEEE International Conference on Acoustics, 2011

Clustering of bootstrapped acoustic model with full covariance.
Proceedings of the IEEE International Conference on Acoustics, 2011

Sparse Maximum A Posteriori adaptation.
Proceedings of the 2011 IEEE Workshop on Automatic Speech Recognition & Understanding, 2011

2010
Single-Channel Multitalker Speech Recognition.
IEEE Signal Process. Mag., 2010

Super-human multi-talker speech recognition: A graphical modeling approach.
Comput. Speech Lang., 2010

Modeling posterior probabilities using the linear exponential family.
Proceedings of the INTERSPEECH 2010, 2010

Signal interaction and the devil function.
Proceedings of the INTERSPEECH 2010, 2010

Incorporating sparse representation phone identification features in automatic speech recognition using exponential families.
Proceedings of the INTERSPEECH 2010, 2010

Restructuring exponential family mixture models.
Proceedings of the INTERSPEECH 2010, 2010

2009
Variational loopy belief propagation for multi-talker speech recognition.
Proceedings of the INTERSPEECH 2009, 2009

Compacting discriminative feature space transforms for embedded devices.
Proceedings of the INTERSPEECH 2009, 2009

Acoustic modeling using exponential families.
Proceedings of the INTERSPEECH 2009, 2009

Refactoring acoustic models using variational expectation-maximization.
Proceedings of the INTERSPEECH 2009, 2009

Single-channel speech separation and recognition using loopy belief propagation.
Proceedings of the IEEE International Conference on Acoustics, 2009

Refactoring acoustic models using variational density approximation.
Proceedings of the IEEE International Conference on Acoustics, 2009

A fast, accurate approximation to log likelihood of Gaussian mixture models.
Proceedings of the IEEE International Conference on Acoustics, 2009

Hierarchical variational loopy belief propagation for multi-talker speech recognition.
Proceedings of the 2009 IEEE Workshop on Automatic Speech Recognition & Understanding, 2009

Optimal quantization and bit allocation for compressing large discriminative feature space transforms.
Proceedings of the 2009 IEEE Workshop on Automatic Speech Recognition & Understanding, 2009

2008
Efficient model-based speech separation and denoising using non-negative subspace analysis.
Proceedings of the IEEE International Conference on Acoustics, 2008

Optimizing speech recognition grammars using a measure of similarity between hidden Markov models.
Proceedings of the IEEE International Conference on Acoustics, 2008

Variational Bhattacharyya divergence for hidden Markov models.
Proceedings of the IEEE International Conference on Acoustics, 2008

Accelerated Monte Carlo for Kullback-Leibler divergence between Gaussian mixture models.
Proceedings of the IEEE International Conference on Acoustics, 2008

2007
Discriminative Estimation of Subspace Constrained Gaussian Mixture Models for Speech Recognition.
IEEE Trans. Speech Audio Process., 2007

Bhattacharyya error and divergence using variational importance sampling.
Proceedings of the INTERSPEECH 2007, 2007

Word confusability - measuring hidden Markov model similarity.
Proceedings of the INTERSPEECH 2007, 2007

Approximating the Kullback Leibler Divergence Between Gaussian Mixture Models.
Proceedings of the IEEE International Conference on Acoustics, 2007

Variational Kullback-Leibler divergence for Hidden Markov models.
Proceedings of the IEEE Workshop on Automatic Speech Recognition & Understanding, 2007

2006
Single Channel Speech Separation Using Factorial Dynamics.
Proceedings of the Advances in Neural Information Processing Systems 19, 2006

The Iroquois model: using temporal dynamics to separate speakers.
Proceedings of the ISCA Tutorial and Research Workshop on Statistical and Perceptual Audition, 2006

Super-human multi-talker speech recognition: the IBM 2006 speech separation challenge system.
Proceedings of the INTERSPEECH 2006, 2006

Dynamic Noise Adaptation.
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

2005
Subspace constrained Gaussian mixture models for speech recognition.
IEEE Trans. Speech Audio Process., 2005

Feature adaptation using projection of Gaussian posteriors.
Proceedings of the INTERSPEECH 2005, 2005

Voicing features for robust speech detection.
Proceedings of the INTERSPEECH 2005, 2005

Initializing Subspace Constrained Gaussian Mixture Models.
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005

2004
Modeling inverse covariance matrices by basis expansion.
IEEE Trans. Speech Audio Process., 2004

Fast clustering of Gaussians and the virtue of representing Gaussians in exponential model format.
Proceedings of the INTERSPEECH 2004, 2004

2003
An efficient integrated gender detection scheme and time mediated averaging of gender dependent acoustic models.
Proceedings of the 8th European Conference on Speech Communication and Technology, EUROSPEECH 2003, 2003

Discriminative estimation of subspace precision and mean (SPAM) models.
Proceedings of the 8th European Conference on Speech Communication and Technology, EUROSPEECH 2003, 2003

Maximum likelihood training of subspaces for inverse covariance modeling.
Proceedings of the 2003 IEEE International Conference on Acoustics, 2003

Dimensional reduction, covariance modeling, and computational complexity in ASR systems.
Proceedings of the 2003 IEEE International Conference on Acoustics, 2003

2002
A robust high accuracy speech recognition system for mobile applications.
IEEE Trans. Speech Audio Process., 2002

Automatic transcription of Broadcast News.
Speech Commun., 2002

Theory and practice of acoustic confusability.
Comput. Speech Lang., 2002

Large vocabulary conversational speech recognition with the extended maximum likelihood linear transformation (EMLLT) model.
Proceedings of the 7th International Conference on Spoken Language Processing, ICSLP2002, 2002

Modeling with a subspace constraint on inverse covariance matrices.
Proceedings of the 7th International Conference on Spoken Language Processing, ICSLP2002, 2002

Adaptation experiments on the SPINE database with the Extended Maximum Likelihood Linear Transformation (EMLLT) model.
Proceedings of the IEEE International Conference on Acoustics, 2002

2001
Low-resource hidden Markov model speech recognition.
Proceedings of the EUROSPEECH 2001 Scandinavia, 2001


2000
Transcription of broadcast news with a time constraint: IBM's 10xRT HUB4 system.
Proceedings of the Sixth International Conference on Spoken Language Processing, 2000

1999
Tail distribution modelling using the richter and power exponential distributions.
Proceedings of the Sixth European Conference on Speech Communication and Technology, 1999

Recent improvements to IBM's speech recognition system for automatic transcription of broadcast news.
Proceedings of the 1999 IEEE International Conference on Acoustics, 1999

Maximum likelihood estimates for exponential type density families.
Proceedings of the 1999 IEEE International Conference on Acoustics, 1999

1998
Transcription of broadcast news-some recent improvements to IBM's LVCSR system.
Proceedings of the 1998 IEEE International Conference on Acoustics, 1998

1992
A note on irregular discrete wavelet transforms.
IEEE Trans. Inf. Theory, 1992


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