Hamid Krim

Orcid: 0000-0003-4971-1690

According to our database1, Hamid Krim authored at least 216 papers between 1990 and 2024.

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Awards

IEEE Fellow

IEEE Fellow 2008, "For contributions to statistical signal processing, multiscale analysis, estimation and detection, and image analysis".

Timeline

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Bibliography

2024
Volterra Neural Networks (VNNs).
J. Mach. Learn. Res., 2024

Robustness Reprogramming for Representation Learning.
CoRR, 2024

Expansive Synthesis: Generating Large-Scale Datasets from Minimal Samples.
CoRR, 2024

Koopcon: A new approach towards smarter and less complex learning.
CoRR, 2024

2023
Latent code-based fusion: A Volterra neural network approach.
Intell. Syst. Appl., May, 2023

Recovery Bounds on Class-Based Optimal Transport: A Sum-of-Norms Regularization Framework.
Proceedings of the International Conference on Machine Learning, 2023

Fast Optimal Transport for Latent Domain Adaptation.
Proceedings of the IEEE International Conference on Image Processing, 2023

Implicit Bayes Adaptation: A Collaborative Transport Approach.
Proceedings of the IEEE International Conference on Acoustics, 2023

2022
Discovering urban functional zones from biased and sparse points of interests and sparse human activities.
Expert Syst. Appl., November, 2022

Deep transform and metric learning network: Wedding deep dictionary learning and neural network.
Neurocomputing, 2022

Fast OT for Latent Domain Adaptation.
CoRR, 2022

Information Fusion: Scaling Subspace-Driven Approaches.
CoRR, 2022

Refining Self-Supervised Learning in Imaging: Beyond Linear Metric.
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

Neural Network Based Tracking of Maneuvering Unmanned Aerial Vehicles.
Proceedings of the 56th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2022, Pacific Grove, CA, USA, October 31, 2022

2021
An Automatic Synthesizer of Advising Tools for High Performance Computing.
IEEE Trans. Parallel Distributed Syst., 2021

Event driven sensor fusion.
Signal Process., 2021

Reuse-centric k-means configuration.
Inf. Syst., 2021

Generative Information Fusion.
Proceedings of the IEEE International Conference on Acoustics, 2021

Deep Transform and Metric Learning Networks.
Proceedings of the IEEE International Conference on Acoustics, 2021

Dynamic Graph Learning Based on Graph Laplacian.
Proceedings of the IEEE International Conference on Acoustics, 2021

2020
Community Detection and Improved Detectability in Multiplex Networks.
IEEE Trans. Netw. Sci. Eng., 2020

Robust Group Subspace Recovery: A New Approach for Multi-Modality Data Fusion.
CoRR, 2020

Discovering Urban Functional Zones By Latent Fusion of Users GPS Data and Points of Interests.
CoRR, 2020

Deep Transform and Metric Learning Network: Wedding Deep Dictionary Learning and Neural Networks.
CoRR, 2020

Commuting Conditional GANS for Multi-Modal Fusion.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Conquering the CNN Over-Parameterization Dilemma: A Volterra Filtering Approach for Action Recognition.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Analysis Dictionary Learning Based Classification: Structure for Robustness.
IEEE Trans. Image Process., 2019

Deep Dictionary Learning: A PARametric NETwork Approach.
IEEE Trans. Image Process., 2019

Deep Adversarial Belief Networks.
CoRR, 2019

Joint Concept Matching based Learning for Zero-Shot Recognition.
CoRR, 2019

Commuting Conditional GANs for Robust Multi-Modal Fusion.
CoRR, 2019

Sparse Generative Adversarial Network.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

Nonlinear Multi-scale Super-resolution Using Deep Learning.
Proceedings of the IEEE International Conference on Acoustics, 2019

Analysis Dictionary Learning: an Efficient and Discriminative Solution.
Proceedings of the IEEE International Conference on Acoustics, 2019

2018
Metric Driven Classification: A Non-Parametric Approach Based on the Henze-Penrose Test Statistic.
IEEE Trans. Image Process., 2018

Fusing Heterogeneous Data: A Case for Remote Sensing and Social Media.
IEEE Trans. Geosci. Remote. Sens., 2018

Anomaly Detection in Moving-Camera Video Sequences Using Principal Subspace Analysis.
IEEE Trans. Circuits Syst. I Regul. Pap., 2018

Bi-sparsity pursuit: A paradigm for robust subspace recovery.
Signal Process., 2018

Robust Subspace Clustering by Bi-Sparsity Pursuit: Guarantees and Sequential Algorithm.
Proceedings of the 2018 IEEE Winter Conference on Applications of Computer Vision, 2018

Video Tracking of Insect Flight Path: Towards Behavioral Assessment.
Proceedings of the Eighth International Conference on Image Processing Theory, 2018

Reuse-Centric K-Means Configuration.
Proceedings of the 34th IEEE International Conference on Data Engineering, 2018

Structured Analysis Dictionary Learning for Image Classification.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Cross-Modality Distillation: A Case for Conditional Generative Adversarial Networks.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Demystifying Deep Learning: a Geometric Approach to Iterative Projections.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Decision Level Fusion: An Event Driven Approach.
Proceedings of the 26th European Signal Processing Conference, 2018

Fusion of Community Structures in Multiplex Networks by Label Constraints.
Proceedings of the 26th European Signal Processing Conference, 2018

Information Subspace-Based Fusion for Vehicle Classification.
Proceedings of the 26th European Signal Processing Conference, 2018

Robust Subspace Clustering for Radar Detection.
Proceedings of the 26th European Signal Processing Conference, 2018

2017
3D face recognition in the Fourier domain using deformed circular curves.
Multidimens. Syst. Signal Process., 2017

AOGNets: Deep AND-OR Grammar Networks for Visual Recognition.
CoRR, 2017

First Study on Data Readiness Level.
CoRR, 2017

Sampling Density Criterion for Circular Structured Light 3D Imaging.
Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2017) - Volume 6: VISAPP, Porto, Portugal, February 27, 2017

Egeria: a framework for automatic synthesis of HPC advising tools through multi-layered natural language processing.
Proceedings of the International Conference for High Performance Computing, 2017

Detection of abandoned objects using robust subspace recovery with intrinsic video alignment.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2017

Information diffusion in interconnected heterogeneous networks.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Image classification: A hierarchical dictionary learning approach.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

A model-free causality measure based on multi-variate delay embedding.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

2016
Information Diffusion of Topic Propagation in Social Media.
IEEE Trans. Signal Inf. Process. over Networks, 2016

Node Dominance: Revealing Community and Core-Periphery Structure in Social Networks.
IEEE Trans. Signal Inf. Process. over Networks, 2016

Discovering the Whole by the Coarse: A topological paradigm for data analysis.
IEEE Signal Process. Mag., 2016

Sparsity and Nullity: Paradigms for Analysis Dictionary Learning.
SIAM J. Imaging Sci., 2016

Effective Connectivity-Based Neural Decoding: A Causal Interaction-Driven Approach.
CoRR, 2016

Analysis dictionary learning for scene classification.
Proceedings of the IEEE Statistical Signal Processing Workshop, 2016

A topological collapse for document summarization.
Proceedings of the 17th IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2016

Non-parametric bounds on the nearest neighbor classification accuracy based on the Henze-Penrose metric.
Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

Pansharpening via coupled triple factorization dictionary learning.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Beyond union of subspaces: Subspace pursuit on Grassmann manifold for data representation.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

A behavior-based evaluation of product quality.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Introduction to the special session on Topological Data Analysis, ICASSP 2016.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

2015
A Novel Framework for Pulse Pressure Wave Analysis Using Persistent Homology.
IEEE Signal Process. Lett., 2015

Coordinate-free quantification of coverage in dynamic sensor networks.
Signal Process., 2015

An entropy-based persistence barcode.
Pattern Recognit., 2015

Node Dominance: Revealing Community and Core-Periphery Structure in Social Networks.
CoRR, 2015

Abandoned object detection using operator-space pursuit.
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

BI-sparsity pursuit for robust subspace recovery.
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

On the detection of abandoned objects with a moving camera using robust subspace recovery and sparse representation.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Sparse null space basis pursuit and analysis dictionary learning for high-dimensional data analysis.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Real-time multiple DOA estimation of speech sources in wireless acoustic sensor networks.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Emergence of core-periphery structure from local node dominance in social networks.
Proceedings of the 23rd European Signal Processing Conference, 2015

Spectral estimation in highly transient data.
Proceedings of the 23rd European Signal Processing Conference, 2015

2014
Analysis and Control of Beliefs in Social Networks.
IEEE Trans. Signal Process., 2014

Distributed Localization of Coverage Holes Using Topological Persistence.
IEEE Trans. Signal Process., 2014

Subspace Learning of Dynamics on a Shape Manifold: A Generative Modeling Approach.
IEEE Trans. Image Process., 2014

Persistent Homology of Delay Embeddings and its Application to Wheeze Detection.
IEEE Signal Process. Lett., 2014

Adaptive tracking of representative cycles in regular and zigzag persistent homology.
CoRR, 2014

Robust Subspace Recovery via Dual Sparsity Pursuit.
CoRR, 2014

Multi-level scene understanding via hierarchical classification.
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

Computing persistent features in big data: A distributed dimension reduction approach.
Proceedings of the IEEE International Conference on Acoustics, 2014

Real time detection of harmonic structure: A case for topological signal analysis.
Proceedings of the IEEE International Conference on Acoustics, 2014

Robust detection of periodic patterns in gene expression microarray data using topological signal analysis.
Proceedings of the 2014 IEEE Global Conference on Signal and Information Processing, 2014

2013
A Generalized Markov Graph Model: Application to Social Network Analysis.
IEEE J. Sel. Top. Signal Process., 2013

Distributed boundary tracking using alpha and Delaunay-Cech shapes
CoRR, 2013

Distributed computation of homology using harmonics.
CoRR, 2013

Simplifying the homology of networks via strong collapses.
Proceedings of the IEEE International Conference on Acoustics, 2013

An information theoretic approach for speech source enumeration.
Proceedings of the IEEE International Conference on Acoustics, 2013

Activity Video Analysis via Operator-Based Local Embedding.
Proceedings of the Geometric Science of Information - First International Conference, 2013

A distributed collapse of a network's dimensionality.
Proceedings of the IEEE Global Conference on Signal and Information Processing, 2013

Towards Minimal Barcodes.
Proceedings of the Graph-Based Representations in Pattern Recognition, 2013

Control and prediction of beliefs on social network.
Proceedings of the 5th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2013

2012
Human Activity as a Manifold-Valued Random Process.
IEEE Trans. Image Process., 2012

Statistical classification of social networks.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

System Identification: 3D Measurement Using Structured Light System.
Proceedings of the Advanced Concepts for Intelligent Vision Systems, 2012

Optimal Operator Space Pursuit: A Framework for Video Sequence Data Analysis.
Proceedings of the Computer Vision, 2012

2011
Topological Fidelity in Sensor Networks
CoRR, 2011

Robustness and expression independence in 3D face recognition.
Proceedings of the IEEE Workshop on Signal Processing Systems, 2011

Human Activity Modeling as Brownian Motion on Shape Manifold.
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2011

A Sampling Theorem for a 2D Surface.
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2011

A invertible dimension reduction of curves on a manifold.
Proceedings of the IEEE International Conference on Computer Vision Workshops, 2011

Detection and tracking of systematic time-evolving failures in sensor networks.
Proceedings of the 4th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2011

Human Activity Modeling on Shape Manifold.
Proceedings of the 4th Eurographics Workshop on 3D Object Retrieval, 2011

2010
Global Optimization by Adapted Diffusion.
IEEE Trans. Signal Process., 2010

Multiphase Joint Segmentation-Registration and Object Tracking for Layered Images.
IEEE Trans. Image Process., 2010

Object Recognition Through Topo-Geometric Shape Models Using Error-Tolerant Subgraph Isomorphisms.
IEEE Trans. Image Process., 2010

Squigraphs for Fine and Compact Modeling of 3-D Shapes.
IEEE Trans. Image Process., 2010

Divide and Conquer: Localizing Coverage Holes in Sensor Networks.
Proceedings of the Seventh Annual IEEE Communications Society Conference on Sensor, 2010

Mahalanobis-based Adaptive Nonlinear Dimension Reduction.
Proceedings of the 20th International Conference on Pattern Recognition, 2010

3D face recognition based on evolution of iso-geodesic distance curves.
Proceedings of the IEEE International Conference on Acoustics, 2010

A novel approach to decompose a modulated broadband carrier.
Proceedings of the IEEE International Conference on Acoustics, 2010

3D Surface Reconstruction Using Structured Circular Light Patterns.
Proceedings of the Advanced Concepts for Intelligent Vision Systems, 2010

2009
A Shearlet Approach to Edge Analysis and Detection.
IEEE Trans. Image Process., 2009

Joint Brain Parametric T1-Map Segmentation and RF Inhomogeneity Calibration.
Int. J. Biomed. Imaging, 2009

Capturing human activity by a curve.
Proceedings of the International Conference on Image Processing, 2009

Meaningful 3D shape partitioning using Morse functions.
Proceedings of the International Conference on Image Processing, 2009

Brain MRI T1-Map and T1-weighted image segmentation in a variational framework.
Proceedings of the IEEE International Conference on Acoustics, 2009

Novel similarity invariant for space curves using turning angles and its application to object recognition.
Proceedings of the IEEE International Conference on Acoustics, 2009

2008
Classification of curves in 2D and 3D via affine integral signatures
CoRR, 2008

Edge detection and processing using shearlets.
Proceedings of the International Conference on Image Processing, 2008

Probabilistic graph matching by canonical decomposition.
Proceedings of the International Conference on Image Processing, 2008

Geometric modeling of rigid and non-rigid 3D shapes using the global geodesic function.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2008

Determining canonical views of 3D object using minimum description length criterion and compressive sensing method.
Proceedings of the Computational Imaging VI, 2008

3D object recognition using fully intrinsic skeletal graphs.
Proceedings of the Computational Imaging VI, 2008

The decentralized estimation of the sample covariance.
Proceedings of the 42nd Asilomar Conference on Signals, Systems and Computers, 2008

2007
Flexible Skew-Symmetric Shape Model for Shape Representation, Classification, and Sampling.
IEEE Trans. Image Process., 2007

Integral invariants for 3D curves: an inductive approach.
Proceedings of the Visual Communications and Image Processing 2007, 2007

A New Approach to Global Optimiation by an Adapted Diffusion.
Proceedings of the IEEE International Conference on Acoustics, 2007

3D Mixed Invariant and its Application on Object Classification.
Proceedings of the IEEE International Conference on Acoustics, 2007

Statistical Analysis of the Global Geodesic Function for 3D Object Classification.
Proceedings of the IEEE International Conference on Acoustics, 2007

2006
Geodesic matching of triangulated surfaces.
IEEE Trans. Image Process., 2006

3D Face Recognition Using Affine Integral Invariants.
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

Graph-based 3D object classification.
Proceedings of the Computational Imaging IV, San Jose, 2006

2D Shape Modeling using Skeletal Graphs in a Morse Theoretic Framework.
Proceedings of the Statistics and Analysis of Shapes, 2006

2005
Efficient Incorporation of Optical Flow into Visual Motion Estimation in Tracking.
Proceedings of the Machine Learning and Robot Perception, 2005

Fast incorporation of optical flow into active polygons.
IEEE Trans. Image Process., 2005

Identification of a discrete planar symmetric shape from a single noisy view.
IEEE Trans. Image Process., 2005

A multiscale approach to pixel-level image fusion.
Integr. Comput. Aided Eng., 2005

Probabilistic shape descriptor for triangulated surfaces.
Proceedings of the 2005 International Conference on Image Processing, 2005

3D curve interpolation and object reconstruction.
Proceedings of the 2005 International Conference on Image Processing, 2005

Rotation invariant topology coding of 2D and 3D objects using Morse theory.
Proceedings of the 2005 International Conference on Image Processing, 2005

An independent component analysis approach to perfusion weighted imaging.
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005

3D object representation with topo-geometric shape models.
Proceedings of the 13th European Signal Processing Conference, 2005

2004
Smart Nonlinear Diffusion: A Probabilistic Approach.
IEEE Trans. Pattern Anal. Mach. Intell., 2004

Information-Theoretic Active Polygons for Unsupervised Texture Segmentation.
Int. J. Comput. Vis., 2004

A Nonlinear Entropic Variational Model for Image Filtering.
EURASIP J. Adv. Signal Process., 2004

Semiparametric skew-symmetric modeling of planar shapes.
Proceedings of the 2004 IEEE International Conference on Acoustics, 2004

Classification and sampling of shapes through semiparametric Skew-Symmetric Shape Model.
Proceedings of the 2004 12th European Signal Processing Conference, 2004

2003
A generalized divergence measure for robust image registration.
IEEE Trans. Signal Process., 2003

Fast minimization of structural risk by nearest neighbor rule.
IEEE Trans. Neural Networks, 2003

A nonlinear diffusion-based three-band filter bank.
IEEE Signal Process. Lett., 2003

Object representation and recognition in shape spaces.
Pattern Recognit., 2003

Robust influence functionals for image filtering.
Proceedings of the 2003 International Conference on Image Processing, 2003

Topological modeling of illuminated surfaces using Reeb graph.
Proceedings of the 2003 International Conference on Image Processing, 2003

Facial feature extraction using topological methods.
Proceedings of the 2003 International Conference on Image Processing, 2003

Structural risk minimization using nearest neighbor rule.
Proceedings of the 2003 IEEE International Conference on Acoustics, 2003

Compression and transmission of facial images over very narrowband wireless channels.
Proceedings of the 2003 IEEE International Conference on Acoustics, 2003

Image Registration and Segmentation.
Proceedings of the Energy Minimization Methods in Computer Vision and Pattern Recognition, 2003

Geodesic Object Representation and Recognition.
Proceedings of the Discrete Geometry for Computer Imagery, 11th International Conference, 2003

2002
Stochastic differential equations and geometric flows.
IEEE Trans. Image Process., 2002

Multiscale signal enhancement: beyond the normality and independence assumption.
IEEE Trans. Image Process., 2002

Mathematical methods in imaging.
IEEE Signal Process. Mag., 2002

Unifying probabilistic and variational estimation.
IEEE Signal Process. Mag., 2002

Parameterization models for sampling planar curves.
Proceedings of the Image Processing: Algorithms and Systems, 2002

A vertex-based representation of objects in an image.
Proceedings of the 2002 International Conference on Image Processing, 2002

A topological variational model for image singularities.
Proceedings of the 2002 International Conference on Image Processing, 2002

An active contour model for image segmentation: A variational perspective.
Proceedings of the IEEE International Conference on Acoustics, 2002

Active Polygon for Object Tracking.
Proceedings of the 1st International Symposium on 3D Data Processing Visualization and Transmission (3DPVT 2002), 2002

2001
Image denoising: a nonlinear robust statistical approach.
IEEE Trans. Signal Process., 2001

Towards a unified view of estimation: variational vs. statistical.
Proceedings of the 2001 International Conference on Image Processing, 2001

Nonlinear image filtering: trade-off between optimality and practicality.
Proceedings of the 2001 International Conference on Image Processing, 2001

Bridging scale-space to multiscale frame analyses.
Proceedings of the IEEE International Conference on Acoustics, 2001

A Variational Approach to Maximum a Posteriori Estimation for Image Denoising.
Proceedings of the Energy Minimization Methods in Computer Vision and Pattern Recognition, 2001

2000
Image segmentation and edge enhancement with stabilized inverse diffusion equations.
IEEE Trans. Image Process., 2000

Feature-Preserving Flows: A Stochastic Differential Equation's View.
Proceedings of the 2000 International Conference on Image Processing, 2000

A stochastic flow for feature extraction.
Proceedings of the IEEE International Conference on Acoustics, 2000

1999
Hierarchical stochastic modeling of SAR imagery for segmentation/compression.
IEEE Trans. Signal Process., 1999

Introduction to Special Issue on Mutliscale Statistical Signal Analysis and Its Application.
IEEE Trans. Inf. Theory, 1999

On denoising and best signal representation.
IEEE Trans. Inf. Theory, 1999

Minimax Description Length for Signal Denoising and Optimized Representation.
IEEE Trans. Inf. Theory, 1999

Levy processes for image modelling.
Proceedings of the IEEE-EURASIP Workshop on Nonlinear Signal and Image Processing (NSIP'99), 1999

Nonlinear Diffusion: A Probabilistic View.
Proceedings of the 1999 International Conference on Image Processing, 1999

A nonlinear diffusion equation as a fast and optimal solver of edge detection problems.
Proceedings of the 1999 IEEE International Conference on Acoustics, 1999

A stochastic diffusion approach to signal denoising.
Proceedings of the 1999 IEEE International Conference on Acoustics, 1999

1998
Invariant Object Recognition by Shape Space Analysis.
Proceedings of the 1998 IEEE International Conference on Image Processing, 1998

Stabilized Inverse Diffusion Equations and Segmentation of Vector-Valued Images.
Proceedings of the 1998 IEEE International Conference on Image Processing, 1998

An Estimation-Theoretic Technique for Motion-Compensated Synthetic-Aperture Array Imaging.
Proceedings of the 1998 IEEE International Conference on Image Processing, 1998

Parsimony and wavelet methods for denoising.
Proceedings of the 1998 IEEE International Conference on Acoustics, 1998

Nonlinear frame-like decompositions.
Proceedings of the 9th European Signal Processing Conference, 1998

1997
Multiscale segmentation and anomaly enhancement of SAR imagery.
IEEE Trans. Image Process., 1997

Scale Space Analysis by Stabilized Inverse Diffusion Equations.
Proceedings of the Scale-Space Theory in Computer Vision, First International Conference, 1997

Segmentation and Compression of SAR Imagery via Hierarchical Stochastic Modelling.
Proceedings of the Proceedings 1997 International Conference on Image Processing, 1997

Robust wavelet thresholding for noise suppression.
Proceedings of the 1997 IEEE International Conference on Acoustics, 1997

On the distributions of optimized multiscale representations.
Proceedings of the 1997 IEEE International Conference on Acoustics, 1997

1996
Time-invariant orthonormal wavelet representations.
IEEE Trans. Signal Process., 1996

Projections on unstructured subspaces.
IEEE Trans. Signal Process., 1996

Two decades of array signal processing research: the parametric approach.
IEEE Signal Process. Mag., 1996

Multiscale segmentation and anomaly enhancement of SAR imagery.
Proceedings of the Proceedings 1996 International Conference on Image Processing, 1996

Bayesian approach to best basis selection.
Proceedings of the 1996 IEEE International Conference on Acoustics, 1996

Best basis segmentation of ECG signals using novel optimality criteria.
Proceedings of the 1996 IEEE International Conference on Acoustics, 1996

1995
Multiresolution analysis of a class of nonstationary processes.
IEEE Trans. Inf. Theory, 1995

Best basis algorithm for signal enhancement.
Proceedings of the 1995 International Conference on Acoustics, 1995

1994
A data-based enumeration technique for fully correlated signals.
IEEE Trans. Signal Process., 1994

Smoothed eigenspace-based parameter estimation.
Autom., 1994

1993
Tracking nonstationarities with a wavelet transform.
Proceedings of the IEEE International Conference on Acoustics, 1993

1992
Operator approach to performance analysis of root-MUSIC and root-min-norm.
IEEE Trans. Signal Process., 1992

Further results on smoothed reduced rank subspaces.
Proceedings of the 1992 IEEE International Conference on Acoustics, 1992

1991
Performance analysis of smoothed subspace-based estimation methods.
Proceedings of the 1991 International Conference on Acoustics, 1991

1990
On spatial smoothing and linear prediction.
Proceedings of the 1990 International Conference on Acoustics, 1990


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