Mahmood R. Azimi-Sadjadi

Orcid: 0000-0003-1644-9833

Affiliations:
  • Colorado State University, USA


According to our database1, Mahmood R. Azimi-Sadjadi authored at least 110 papers between 1983 and 2024.

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

Timeline

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Bibliography

2024
MLTL: Manifold-Based Long-Term Learning for Indoor Positioning using WiFi Fingerprinting.
Proceedings of the International Joint Conference on Neural Networks, 2024

2022
Adaptive Classification Using Incremental Linearized Kernel Embedding.
IEEE Trans. Signal Process., 2022

Bayesian Learning of Occupancy Grids.
IEEE Trans. Intell. Transp. Syst., 2022

2021
Information-Theoretic Interactive Sensing and Inference for Autonomous Systems.
IEEE Trans. Signal Process., 2021

2019
Unattended Acoustic Sensor Systems For Source Detection, Classification, and Tracking.
IEEE Trans. Instrum. Meas., 2019

Time-Frequency Analysis of Cardiovascular and Cardiorespiratory Interactions During Orthostatic Stress by Extended Partial Directed Coherence.
Entropy, 2019

Analyzing Transfer Learning Methods For UXO Classification In Varying Shallow Water Environments.
Proceedings of the 29th IEEE International Workshop on Machine Learning for Signal Processing, 2019

Incremental Dictionary Learning For Adaptive Classification And Reconstruction Of Facial Imagery.
Proceedings of the 29th IEEE International Workshop on Machine Learning for Signal Processing, 2019

A Multiple Kernel Machine with Incremental Learning using Sparse Representation.
Proceedings of the International Joint Conference on Neural Networks, 2019

Performance Prediction of Multichannel Coherence Detector for Sonar Imagery.
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

2018
Incremental Dictionary Learning With Sparsity.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

2017
Multiple Kernel Learning Using Sparse Representation.
Proceedings of the 16th IEEE International Conference on Machine Learning and Applications, 2017

2016
Saddlepoint Approximations for Correlation Testing Among Multiple Gaussian Random Vectors.
IEEE Signal Process. Lett., 2016

Underwater target classification using a pose-invariant matched manifold classifier.
Proceedings of the 26th IEEE International Workshop on Machine Learning for Signal Processing, 2016

2015
Class-preserving manifold learning for detection and classification.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

2014
Detection of Spatially Correlated Time Series From a Network of Sensor Arrays.
IEEE Trans. Signal Process., 2014

Acoustic Tomography of the Atmosphere Using Unscented Kalman Filter.
IEEE Trans. Geosci. Remote. Sens., 2014

Detection and classification of nonstationary transient signals using sparse approximations and Bayesian networks.
IEEE ACM Trans. Audio Speech Lang. Process., 2014

K-SVD dictionary learning using a fast OMP with applications.
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

Detection of correlated time series in a network of sensor arrays.
Proceedings of the IEEE International Conference on Acoustics, 2014

2013
Characterization of Multiple Transient Acoustical Sources From Time-Transform Representations.
IEEE Trans. Speech Audio Process., 2013

Space-time coherence and its exact null distribution.
Proceedings of the IEEE International Conference on Acoustics, 2013

2012
Detection in Multiple Disparate Systems using Multi-Channel Coherence Analysis.
IEEE Trans. Aerosp. Electron. Syst., 2012

An operationally adaptive system for rapid acoustic transmission loss prediction.
Neural Networks, 2012

Acoustic tomography of the atmosphere using unscented Kalman filter.
Proceedings of the 20th European Signal Processing Conference, 2012

Likelihood updating for Gauss-Gauss detection.
Proceedings of the 20th European Signal Processing Conference, 2012

2010
An information theoretic approach for in-situ underwater target classification.
Proceedings of the International Joint Conference on Neural Networks, 2010

2009
An Adaptable Image Retrieval System With Relevance Feedback Using Kernel Machines and Selective Sampling.
IEEE Trans. Image Process., 2009

Spatial Correlation Analysis Using Canonical Correlation Decomposition for Sparse Sonar Array Processing.
Proceedings of the IEEE International Conference on Systems, 2009

Underwater Target Detection from Multi-Platform Sonar Imagery Using Multi-Channel Coherence Analysis.
Proceedings of the IEEE International Conference on Systems, 2009

A likelihood-based decision feedback system for multi-aspect classification of underwater targets.
Proceedings of the International Joint Conference on Neural Networks, 2009

Rapid acoustic transmission loss prediction using an operationally adaptive system.
Proceedings of the International Joint Conference on Neural Networks, 2009

2008
Iterative multi-channel coherence analysis with applications.
Neural Networks, 2008

2007
An Adaptable Connectionist Text-Retrieval System With Relevance Feedback.
IEEE Trans. Neural Networks, 2007

Dual-Satellite Cloud Product Generation Using Temporally Updated Canonical Coordinate Features.
IEEE Trans. Geosci. Remote. Sens., 2007

Environmentally adaptive acoustic transmission loss prediction in turbulent and nonturbulent atmospheres.
Neural Networks, 2007

An Iterative Learning Algorithm for Multi-Channel Coherence Analysis.
Proceedings of the International Joint Conference on Neural Networks, 2007

An Operationally Adaptive System for Rapid Acoustic Transmission Loss Prediction.
Proceedings of the International Joint Conference on Neural Networks, 2007

Buried Underwater Object Classification Using a Collaborative Multi-Aspect Classifier.
Proceedings of the International Joint Conference on Neural Networks, 2007

A Robust Source Localization Algorithm Applied to Acoustic Sensor Network.
Proceedings of the IEEE International Conference on Acoustics, 2007

2006
An Environmentally Adaptive System for Rapid Acoustic Transmission Loss Prediction.
Proceedings of the International Joint Conference on Neural Networks, 2006

A Multichannel Canonical Correlation Analysis Feature Extraction with Application to Buried Underwater Target Classification.
Proceedings of the International Joint Conference on Neural Networks, 2006

Kernel Wiener Filter with Distance Constraint.
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

2005
Two-channel constrained least squares problems: solutions using power methods and connections with canonical coordinates.
IEEE Trans. Signal Process., 2005

Multi-aspect target discrimination using hidden Markov models and neural networks.
IEEE Trans. Neural Networks, 2005

Nonlinear Signal Estimation using KernelWiener Filter in Canonical Correlation Analysis Framework.
Proceedings of the 2005 International Conference on Computational Intelligence for Modelling Control and Automation (CIMCA 2005), 2005

2004
A temporally adaptive classifier for multispectral imagery.
IEEE Trans. Neural Networks, 2004

Comparison of different classification algorithms for underwater target discrimination.
IEEE Trans. Neural Networks, 2004

2003
A multichannel temporally adaptive system for continuous cloud classification from satellite imagery.
IEEE Trans. Geosci. Remote. Sens., 2003

A network for recursive extraction of canonical coordinates.
Neural Networks, 2003

Fast algorithms for computing full and reduced rank Wiener filters.
Proceedings of the 2003 International Symposium on Circuits and Systems, 2003

2002
Underwater target classification in changing environments using an adaptive feature mapping.
IEEE Trans. Neural Networks, 2002

2001
Comparison of two different PNN training approaches for satellite cloud data classification.
IEEE Trans. Neural Networks, 2001

Temporal updating scheme for probabilistic neural network with application to satellite cloud classification - further results.
IEEE Trans. Neural Networks, 2001

A 2-D filtering scheme for stereo image compression using sequential orthogonal subspace updating.
IEEE Trans. Circuits Syst. Video Technol., 2001

2000
Rational invariant subspace approximations with applications.
IEEE Trans. Signal Process., 2000

Temporal updating scheme for probabilistic neural network with application to satellite cloud classification.
IEEE Trans. Neural Networks Learn. Syst., 2000

Underwater target classification using wavelet packets and neural networks.
IEEE Trans. Neural Networks Learn. Syst., 2000

A least-squares-based 2-D filtering scheme for stereo image compression.
IEEE Trans. Image Process., 2000

Neural network directed Bayes decision rule for moving target classification.
IEEE Trans. Aerosp. Electron. Syst., 2000

1999
Errata To "A Study Of Cloud Classification With Neural Networks Using Spectral And Textural Features".
IEEE Trans. Neural Networks, 1999

A study of cloud classification with neural networks using spectral and textural features.
IEEE Trans. Neural Networks, 1999

Neural network decision directed edge-adaptive Kalman filter for image estimation.
IEEE Trans. Image Process., 1999

Identification and measurement of fibers in scanning electron microscopy images using a high-order correlation process.
IEEE Trans. Instrum. Meas., 1999

Unsupervised Clustering in Hough Space for Identification of Partially Occluded Objects.
IEEE Trans. Pattern Anal. Mach. Intell., 1999

A neural network-based sequential Bayes classifier for moving target discrimination.
Proceedings of the International Joint Conference Neural Networks, 1999

Adaptive feature mapping for underwater target classification.
Proceedings of the International Joint Conference Neural Networks, 1999

Comparison of two different PNN training approaches for satellite cloud data classification.
Proceedings of the International Joint Conference Neural Networks, 1999

1998
Separation of multiple time delays using new spectral estimation schemes.
IEEE Trans. Signal Process., 1998

A new time delay estimation in subbands for resolving multiple specular reflections.
IEEE Trans. Signal Process., 1998

Detection of mines and minelike targets using principal component and neural-network methods.
IEEE Trans. Neural Networks, 1998

2-D Filter-based Disparity Compensation using Sequential Orthogonal Subspace Updating.
Proceedings of the 1998 IEEE International Conference on Image Processing, 1998

Orthogonal subspace projection filtering for stereo image compression.
Proceedings of the 1998 IEEE International Conference on Acoustics, 1998

Post processing of sonar imagery using recursive high order correlation method.
Proceedings of the 1998 IEEE International Conference on Acoustics, 1998

1997
Interference cancellation in respiratory sounds via a multiresolution joint time-delay and signal-estimation scheme.
IEEE Trans. Biomed. Eng., 1997

Entropy-driven structural adaptation in sample-space self-organizing feature maps for pattern classification.
Proceedings of International Conference on Neural Networks (ICNN'97), 1997

Structural adaptation in neural networks with application to land mine detection.
Proceedings of International Conference on Neural Networks (ICNN'97), 1997

Signal representation using adaptive Wave-Net.
Proceedings of International Conference on Neural Networks (ICNN'97), 1997

Automated Analysis of Complex Scenes of Airborne Fiberglass Preparations for Scanning Electron Microscopy Imagery.
Proceedings of the Proceedings 1997 International Conference on Image Processing, 1997

Neural Network-Based Cloud Classification on Satellite Imagery Using Textural Features.
Proceedings of the Proceedings 1997 International Conference on Image Processing, 1997

A Least-Squares-Based 2-D Filtering for Disparity Estimation.
Proceedings of the Proceedings 1997 International Conference on Image Processing, 1997

1996
A modified block FTF adaptive algorithm with applications to underwater target detection.
IEEE Trans. Signal Process., 1996

A fast learning algorithm for Gabor transformation.
IEEE Trans. Image Process., 1996

Correction to "Reduced Order Kalman Filtering for the Enhancement of Respiratory Sounds".
IEEE Trans. Biomed. Eng., 1996

Reduced order Kalman filtering for the enhancement of respiratory sounds.
IEEE Trans. Biomed. Eng., 1996

1995
Parameter estimation for two-dimensional vector models using neural networks.
IEEE Trans. Signal Process., 1995

Principal component extraction using recursive least squares learning.
IEEE Trans. Neural Networks, 1995

Adaptive extraction of resonances in acoustic backscatter from elastic targets.
Proceedings of the 1995 International Conference on Acoustics, 1995

1994
Two-dimensional block diagonal LMS adaptive filtering.
IEEE Trans. Signal Process., 1994

A Fast Learning Algorithm for Gabor Transform Extraction.
Proceedings of the 1994 IEEE International Symposium on Circuits and Systems, ISCAS 1994, London, England, UK, May 30, 1994

1993
Recursive dynamic node creation in multilayer neural networks.
IEEE Trans. Neural Networks, 1993

Terrain classification in SAR images using principal components analysis and neural networks.
IEEE Trans. Geosci. Remote. Sens., 1993

Interleaved pipeline structures for two-dimensional recursive filtering.
IEEE Trans. Circuits Syst. Video Technol., 1993

Two-dimensional vector modeling of image random field using aritficial neural networks.
Proceedings of the 1993 IEEE International Symposium on Circuits and Systems, 1993

Noncausal image modeling with applications to image restoration.
Proceedings of the 1993 IEEE International Symposium on Circuits and Systems, 1993

Two-dimensional modeling of image random field using artificial neural networks.
Proceedings of the IEEE International Conference on Acoustics, 1993

1992
Fast learning process of multilayer neural networks using recursive least squares method.
IEEE Trans. Signal Process., 1992

A full-plane block Kalman filter for image restoration.
IEEE Trans. Image Process., 1992

An adaptive approach for optimal data reduction using recursive least squares learning method.
Proceedings of the 1992 IEEE International Conference on Acoustics, 1992

1991
Parallel and sequential block Kalman filtering and their implementations using systolic arrays.
IEEE Trans. Signal Process., 1991

Estimation and identification for 2-D block Kalman filtering.
IEEE Trans. Signal Process., 1991

Two-dimensional adaptive block Kalman filtering of SAR imagery.
IEEE Trans. Geosci. Remote. Sens., 1991

Recursive node creation in back-propagation neural networks using orthogonal projection method.
Proceedings of the 1991 International Conference on Acoustics, 1991

1990
Skew-pipeline and interleaved pipeline structures for 2-D recursive filtering.
Proceedings of the 1990 International Conference on Acoustics, 1990

Supervised learning process of multi-layer perceptron neural networks using fast least squares.
Proceedings of the 1990 International Conference on Acoustics, 1990

1989
Model reduction for two-dimensional systems.
Proceedings of the IEEE International Conference on Acoustics, 1989

1987
Two-dimensional block Kalman filtering for image restoration.
IEEE Trans. Acoust. Speech Signal Process., 1987

Two-dimensional block transforms and their properties.
IEEE Trans. Acoust. Speech Signal Process., 1987

1984
An efficient algorithm for characteristic polynomial of 2-D state-space structures.
Proceedings of the IEEE International Conference on Acoustics, 1984

1983
Finite word effects in 2-D block implemented fixed point digital filters.
Proceedings of the IEEE International Conference on Acoustics, 1983


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