Anand Rangarajan

Orcid: 0000-0001-8695-8436

Affiliations:
  • University of Florida, Gainesville, FL, USA
  • Yale University, New Haven, CT, USA (1991 - 2000)
  • University of Southern California, Los Angeles, CA, USA (PhD 1990)


According to our database1, Anand Rangarajan authored at least 197 papers between 1991 and 2023.

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

Timeline

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Bibliography

2023
MGARD: A multigrid framework for high-performance, error-controlled data compression and refactoring.
SoftwareX, December, 2023

Learning Canonical Embeddings for Unsupervised Shape Correspondence With Locally Linear Transformations.
IEEE Trans. Pattern Anal. Mach. Intell., December, 2023

Computing Arterial Travel Time Distributions From Loop Detector and Probe Datasets.
IEEE Trans. Intell. Transp. Syst., November, 2023

An Efficient Semi-Automated Scheme for Infrastructure LiDAR Annotation.
CoRR, 2023

Using DSRC Road-Side Unit Data to Derive Braking Behavior.
Proceedings of the 9th International Conference on Vehicle Technology and Intelligent Transport Systems, 2023

Towards Effective Traffic Signal Safety and Optimization Using Fisheye Video.
Proceedings of the 9th International Conference on Vehicle Technology and Intelligent Transport Systems, 2023

A Multi-Sensor Video/LiDAR System for Analyzing Intersection Safety.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

A Spatiotemporal Correspondence Approach to Unsupervised LiDAR Segmentation with Traffic Applications.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

Nonlinear constraint satisfaction for compressive autoencoders using instance-specific linear operators.
Proceedings of the 2023 Fifteenth International Conference on Contemporary Computing, 2023

Nonlinear-by-Linear: Guaranteeing Error Bounds in Compressive Autoencoders.
Proceedings of the 2023 Fifteenth International Conference on Contemporary Computing, 2023

Fast Algorithms for Scientific Data Compression.
Proceedings of the 30th IEEE International Conference on High Performance Computing, 2023

Spatiotemporally Adaptive Compression for Scientific Dataset with Feature Preservation - A Case Study on Simulation Data with Extreme Climate Events Analysis.
Proceedings of the 19th IEEE International Conference on e-Science, 2023

Online and Scalable Data Compression Pipeline with Guarantees on Quantities of Interest.
Proceedings of the 19th IEEE International Conference on e-Science, 2023

Constrained Autoencoders: Incorporating equality constraints in learned scientific data compression.
Proceedings of the Data Compression Conference, 2023

2022
Subcycle Waveform Modeling of Traffic Intersections Using Recurrent Attention Networks.
IEEE Trans. Intell. Transp. Syst., 2022

Machine-Learning-Based Real-Time Multi-Camera Vehicle Tracking and Travel-Time Estimation.
J. Imaging, 2022

Automated Truck Taxonomy Classification Using Deep Convolutional Neural Networks.
Int. J. Intell. Transp. Syst. Res., 2022

Learning Scene Dynamics from Point Cloud Sequences.
Int. J. Comput. Vis., 2022

Scalable Hybrid Learning Techniques for Scientific Data Compression.
CoRR, 2022

Expressing linear equality constraints in feedforward neural networks.
CoRR, 2022

Slot Order Matters for Compositional Scene Understanding.
CoRR, 2022

Region-adaptive, Error-controlled Scientific Data Compression using Multilevel Decomposition.
Proceedings of the SSDBM 2022: 34th International Conference on Scientific and Statistical Database Management, Copenhagen, Denmark, July 6, 2022

A Modern Intersection Data Analytics System for Pedestrian and Vehicular Safety.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022

An Algorithmic and Software Pipeline for Very Large Scale Scientific Data Compression with Error Guarantees.
Proceedings of the 29th IEEE International Conference on High Performance Computing, 2022

Self-Supervised Robust Scene Flow Estimation via the Alignment of Probability Density Functions.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Truck and Trailer Classification With Deep Learning Based Geometric Features.
IEEE Trans. Intell. Transp. Syst., 2021

Domain-Guided Machine Learning for Remotely Sensed In-Season Crop Growth Estimation.
Remote. Sens., 2021

A web-based visual analytics system for traffic intersection datasets.
Int. J. Big Data Intell., 2021

Subcycle-based Neural Network Algorithms for Turning Movement Count Prediction.
Proceedings of the 7th International Conference on Vehicle Technology and Intelligent Transport Systems, 2021

Trajectory Prediction via Learning Motion Cluster Patterns in Curvilinear Coordinates.
Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021

TQAM: Temporal Attention for Cycle-wise Queue Length Estimation using High-Resolution Loop Detector Data.
Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021

An Automated Framework for Deriving Intersection Coordination Plans.
Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021

Efficient Iterative Amortized Inference for Learning Symmetric and Disentangled Multi-Object Representations.
Proceedings of the 38th International Conference on Machine Learning, 2021

Hybrid Generative Models for Two-Dimensional Datasets.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2021, 2021

2020
Intelligent Intersection: Two-stream Convolutional Networks for Real-time Near-accident Detection in Traffic Video.
ACM Trans. Spatial Algorithms Syst., 2020

A Grassmannian Graph Approach to Affine Invariant Feature Matching.
IEEE Trans. Image Process., 2020

An Integrated Approach to Registration and Fusion of Hyperspectral and Multispectral Images.
IEEE Trans. Geosci. Remote. Sens., 2020

A Unified Framework for Multiclass and Multilabel Support Vector Machines.
CoRR, 2020

A Data Driven Approach to Derive Traffic Intersection Geography using High Resolution Controller Logs.
Proceedings of the 6th International Conference on Vehicle Technology and Intelligent Transport Systems, 2020

Data Mining Algorithms for Traffic Interruption Detection.
Proceedings of the 6th International Conference on Vehicle Technology and Intelligent Transport Systems, 2020

Machine Learning based Video Processing for Real-time Near-Miss Detection.
Proceedings of the 6th International Conference on Vehicle Technology and Intelligent Transport Systems, 2020

Video-based Machine Learning System for Commodity Classification.
Proceedings of the 6th International Conference on Vehicle Technology and Intelligent Transport Systems, 2020

A Visual Analytics System for Processed Videos from Traffic Intersections.
Proceedings of the 6th International Conference on Vehicle Technology and Intelligent Transport Systems, 2020

Clustering Object Trajectories for Intersection Traffic Analysis.
Proceedings of the 6th International Conference on Vehicle Technology and Intelligent Transport Systems, 2020

A Platoon Matching Approach for the Estimation of Arterial Travel Time Distributions.
Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020

Unsupervised Summarization and Change Detection in High-Resolution Signalized Intersection Datasets.
Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020

A Scalable Data Analytics and Visualization System for City-wide Traffic Signal Data-sets.
Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020

SparsePipe: Parallel Deep Learning for 3D Point Clouds.
Proceedings of the 27th IEEE International Conference on High Performance Computing, 2020

Machine Learning Algorithms for Traffic Interruption Detection.
Proceedings of the Fifth International Conference on Fog and Mobile Edge Computing, 2020

2019
Analyzing Traffic Signal Performance Measures to Automatically Classify Signalized Intersections.
Proceedings of the 5th International Conference on Vehicle Technology and Intelligent Transport Systems, 2019

Deep Learning based Geometric Features for Effective Truck Selection and Classification from Highway Videos.
Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019

A Multi-sensor System for Traffic Analysis at Smart Intersections.
Proceedings of the 2019 Twelfth International Conference on Contemporary Computing, 2019

2018
A Gaussian Mixture Model Representation of Endmember Variability in Hyperspectral Unmixing.
IEEE Trans. Image Process., 2018

Image Stacks as Parametric Surfaces: Application to Image Registration.
IEEE Trans. Image Process., 2018

Spatial Scaling Using Temporal Correlations and Ensemble Learning to Obtain High-Resolution Soil Moisture.
IEEE Trans. Geosci. Remote. Sens., 2018

Supervoxel-based segmentation of 3D imagery with optical flow integration for spatiotemporal processing.
IPSJ Trans. Comput. Vis. Appl., 2018

Spherical Minimum Description Length.
Entropy, 2018

An Efficient Deep Representation Based Framework for Large-Scale Terrain Classification.
Proceedings of the 24th International Conference on Pattern Recognition, 2018

Global Model Interpretation Via Recursive Partitioning.
Proceedings of the 20th IEEE International Conference on High Performance Computing and Communications; 16th IEEE International Conference on Smart City; 4th IEEE International Conference on Data Science and Systems, 2018

Densely Labeling Large-Scale Satellite Images with Generative Adversarial Networks.
Proceedings of the 2018 IEEE 16th Intl Conf on Dependable, 2018

Visual Explanations From Deep 3D Convolutional Neural Networks for Alzheimer's Disease Classification.
Proceedings of the AMIA 2018, 2018

2017
Utilizing Self-Regularized Regressive Models to Downscale Microwave Brightness Temperatures for Agricultural Land Covers in the SMAPVEX-12 Region.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2017

Graph-based semi-supervised classification on very high resolution remote sensing images.
Int. J. Big Data Intell., 2017

A spatio-temporal data fusion algorithm for estimating high-resolution soil moisture in agricultural regions.
Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017

Super-Scalable Computation Framework for Automated Terrain Identification.
Proceedings of the 15th IEEE Intl Conf on Dependable, 2017

Nonrigid Registration of Hyperspectral and Color Images with Vastly Different Spatial and Spectral Resolutions for Spectral Unmixing and Pansharpening.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2017

2016
A Spatial Compositional Model for Linear Unmixing and Endmember Uncertainty Estimation.
IEEE Trans. Image Process., 2016

Disaggregation of Remotely Sensed Soil Moisture in Heterogeneous Landscapes Using Holistic Structure-Based Models.
IEEE Trans. Geosci. Remote. Sens., 2016

Guest Editorial: Shape Analysis Beyond the Eikonal Equation.
J. Math. Imaging Vis., 2016

A Category Space Approach to Supervised Dimensionality Reduction.
CoRR, 2016

Spatial Scaling of Satellite Soil Moisture using Temporal Correlations and Ensemble Learning.
CoRR, 2016

Disaggregation of SMAP L3 Brightness Temperatures to 9km using Kernel Machines.
CoRR, 2016

A Compositional Approach to Language Modeling.
CoRR, 2016

A Gaussian mixture model representation of endmember variability for spectral unmixing.
Proceedings of the 8th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2016

Supervised learning for brain MR segmentation via fusion of partially labeled multiple atlases.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

Image stack surface area minimization for groupwise and multimodal affine registration.
Proceedings of the 23rd International Conference on Pattern Recognition, 2016

Resonant Deformable Matching: Simultaneous Registration and Reconstruction.
Proceedings of the Computer Vision - ECCV 2016, 2016

Supervoxel-Based Segmentation of 3D Volumetric Images.
Proceedings of the Computer Vision - ACCV 2016, 2016

2015
Nonlinear Unmixing by Using Different Metrics in a Linear Unmixing Chain.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2015

A spatial compositional model (SCM) for linear unmixing and endmember uncertainty estimation.
CoRR, 2015

Disaggregation of Remotely Sensed Soil Moisture in Heterogeneous Landscapes using Holistic Structure based Models.
CoRR, 2015

A spatial compositional model for linear unmixing.
Proceedings of the 7th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2015

Discriminative Interpolation for Classification of Functional Data.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2015

Scalable Machine Learning Approaches for Neighborhood Classification Using Very High Resolution Remote Sensing Imagery.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

Downscaling microwave brightness temperatures using self regularized regressive models.
Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium, 2015

An uncertainty-driven approach to vortex analysis using oracle consensus and spatial proximity.
Proceedings of the 2015 IEEE Pacific Visualization Symposium, 2015

2014
Revisioning the unification of syntax, semantics and statistics in shape analysis.
Pattern Recognit. Lett., 2014

A fast eikonal equation solver using the Schrödinger wave equation.
CoRR, 2014

Boosting Techniques for Physics-Based Vortex Detection.
Comput. Graph. Forum, 2014

An integrated graph cuts segmentation and piece-wise convex unmixing approach for hyperspectral imaging.
Proceedings of the 6th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2014

Nonlinear unmixing by using non-euclidean metrics in a linear unmixing chain.
Proceedings of the 6th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2014

A new energy minimization framework and sparse linear system for path planning and shape from shading.
Proceedings of the 2014 Indian Conference on Computer Vision, 2014

A Schrödinger formalism for simultaneously computing the Euclidean distance transform and its gradient density.
Proceedings of the 2014 Indian Conference on Computer Vision, 2014

Shape from Phase: An Integrated Level Set and Probability Density Shape Representation.
Proceedings of the 22nd International Conference on Pattern Recognition, 2014

An efficient computational framework for labeling large scale spatiotemporal remote sensing datasets.
Proceedings of the Seventh International Conference on Contemporary Computing, 2014

Superpixel Estimation for Hyperspectral Imagery.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2014

A Riemannian Framework for Matching Point Clouds Represented by the Schrödinger Distance Transform.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

2013
Image Denoising Using the Higher Order Singular Value Decomposition.
IEEE Trans. Pattern Anal. Mach. Intell., 2013

2012
Distance Transform Gradient Density Estimation Using the Stationary Phase Approximation.
SIAM J. Math. Anal., 2012

Construction of a neuroanatomical shape complex atlas from 3D MRI brain structures.
NeuroImage, 2012

Data-driven tree-structured Bayesian network for image segmentation.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

The Schrödinger distance transform (SDT) for point-sets and curves.
Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

2011
PET Image Reconstruction Using Information Theoretic Anatomical Priors.
IEEE Trans. Medical Imaging, 2011

Fast convolution-based methods for computing the signed distance function and its derivatives
CoRR, 2011

Mixture of Segmenters with Discriminative Spatial Regularization and Sparse Weight Selection.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011, 2011

An information geometry approach to shape density Minimum Description Length model selection.
Proceedings of the IEEE International Conference on Computer Vision Workshops, 2011

Using the Higher Order Singular Value Decomposition for Video Denoising.
Proceedings of the Energy Minimazation Methods in Computer Vision and Pattern Recognition, 2011

The Complex Wave Representation of Distance Transforms.
Proceedings of the Energy Minimazation Methods in Computer Vision and Pattern Recognition, 2011

2010
A Method for Compact Image Representation Using Sparse Matrix and Tensor Projections Onto Exemplar Orthonormal Bases.
IEEE Trans. Image Process., 2010

Group-Wise Point-Set Registration Using a Novel CDF-Based Havrda-Charvát Divergence.
Int. J. Comput. Vis., 2010

Construction of Neuroanatomical Shape Complex Atlas from 3D Brain MRI.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2010

CAVIAR: classification via aggregated regression and its application in classifying oasis brain database.
Proceedings of the 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2010

Automated Filter Parameter Selection Using Measures of Noiseness.
Proceedings of the Canadian Conference on Computer and Robot Vision, 2010

2009
Probability Density Estimation Using Isocontours and Isosurfaces: Applications to Information-Theoretic Image Registration.
IEEE Trans. Pattern Anal. Mach. Intell., 2009

Information Geometry for Landmark Shape Analysis: Unifying Shape Representation and Deformation.
IEEE Trans. Pattern Anal. Mach. Intell., 2009

A Schrödinger Equation for the Fast Computation of Approximate Euclidean Distance Functions.
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2009

Closed-Form Jensen-Renyi Divergence for Mixture of Gaussians and Applications to Group-Wise Shape Registration.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2009

An algebraic approach to affine registration of point sets.
Proceedings of the IEEE 12th International Conference on Computer Vision, ICCV 2009, Kyoto, Japan, September 27, 2009

A Schrödinger Wave Equation Approach to the Eikonal Equation: Application to Image Analysis.
Proceedings of the Energy Minimization Methods in Computer Vision and Pattern Recognition, 2009

Image Filtering Driven by Level Curves.
Proceedings of the Energy Minimization Methods in Computer Vision and Pattern Recognition, 2009

2008
Maximum Likelihood Wavelet Density Estimation With Applications to Image and Shape Matching.
IEEE Trans. Image Process., 2008

Simultaneous Nonrigid Registration of Multiple Point Sets and Atlas Construction.
IEEE Trans. Pattern Anal. Mach. Intell., 2008

Beyond SVD: Sparse projections onto exemplar orthonormal bases for compact image representation.
Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008

Shape L'Âne rouge: Sliding wavelets for indexing and retrieval.
Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008

2007
Kernel Fisher discriminant for shape-based classification in epilepsy.
Medical Image Anal., 2007

A New Affine Registration Algorithm for Matching 2D Point Sets.
Proceedings of the 8th IEEE Workshop on Applications of Computer Vision (WACV 2007), 2007

Deformable Density Matching for 3D Non-rigid Registration of Shapes.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2007, 10th International Conference, Brisbane, Australia, October 29, 2007

Pet Image Reconstruction Using Anatomical Information Through Mutual Information Based Priors: A Scale Space Approach.
Proceedings of the 2007 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2007

2006
A New Closed-Form Information Metric for Shape Analysis.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2006

Continuous image representations avoid the histogram binning problem in mutual information based image registration.
Proceedings of the 2006 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2006

Shape analysis using the Fisher-Rao Riemannian metric: unifying shape representation and deformation.
Proceedings of the 2006 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2006

Simultaneous Nonrigid Registration of Multiple Point Sets and Atlas Construction.
Proceedings of the Computer Vision, 2006

Groupwise point pattern registration using a novel CDF-based Jensen-Shannon Divergence.
Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2006), 2006

New Method of Probability Density Estimation with Application to Mutual Information Based Image Registration.
Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2006), 2006

2005
3-D Diffeomorphic Shape Registration on Hippocampal Data Sets.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2005

Multimodality Image Registration Using an Extensible Information Metric and High Dimensional Histogramming.
Proceedings of the Information Processing in Medical Imaging, 2005

2004
Unsupervised Learning of an Atlas from Unlabeled Point-Sets.
IEEE Trans. Pattern Anal. Mach. Intell., 2004

A Unified Feature-Based Registration Method for Multimodality Images.
Proceedings of the 2004 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2004

A New, Fast, Relaxation-Free, Convergent, Hessian-based, Ordered-Subsets Algorithm for Emission Tomography.
Proceedings of the 2004 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2004

Non-Rigid Registration of Shapes Via Diffeomorphic Point Matching.
Proceedings of the 2004 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2004

Non rigid registration of shapes via diffeomorphic point matching and clustering.
Proceedings of the 2004 International Conference on Image Processing, 2004

Affine Image Registration Using a New Information Metric.
Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2004), with CD-ROM, 27 June, 2004

A New Joint Clustering and Diffeomorphism Estimation Algorithm for Non-Rigid Shape Matching.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2004

2003
A New Convex Edge-Preserving Median Prior with Applications to Tomography.
IEEE Trans. Medical Imaging, 2003

Entropy-Based, Dual-Portal-to-3DCT Registration Incorporating Pixel Correlation.
IEEE Trans. Medical Imaging, 2003

The Concave-Convex Procedure.
Neural Comput., 2003

A unified non-rigid feature registration method for brain mapping.
Medical Image Anal., 2003

Bayesian image reconstruction for transmission tomography using deterministic annealing.
J. Electronic Imaging, 2003

A new point matching algorithm for non-rigid registration.
Comput. Vis. Image Underst., 2003

Bayesian Multimodality Non-rigid Image Registration via Conditional Density Estimation.
Proceedings of the Information Processing in Medical Imaging, 2003

A Bayesian Network Framework for Relational Shape Matching.
Proceedings of the 9th IEEE International Conference on Computer Vision (ICCV 2003), 2003

2002
Joint-MAP Bayesian tomographic reconstruction with a gamma-mixture prior.
IEEE Trans. Image Process., 2002

Provably convergent OSEM-like reconstruction algorithm for emission tomography.
Proceedings of the Medical Imaging 2002: Image Processing, 2002

Kernel Fisher for Shape Based Classification in Epilepsy.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2002

A new convergent MAP reconstruction algorithm for emission tomography using ordered subsets and separable surrogates.
Proceedings of the 2002 IEEE International Symposium on Biomedical Imaging, 2002

2001
The Concave-Convex Procedure (CCCP).
Proceedings of the Advances in Neural Information Processing Systems 14 [Neural Information Processing Systems: Natural and Synthetic, 2001

MIME: Mutual Information Minimization and Entropy Maximization for Bayesian Belief Propagation.
Proceedings of the Advances in Neural Information Processing Systems 14 [Neural Information Processing Systems: Natural and Synthetic, 2001

Bayesian image reconstruction for transmission tomography using mixture model priors and deterministic annealing algorithms.
Proceedings of the Medical Imaging 2001: Image Processing, 2001

A Unified Feature Registration Method for Brain Mapping.
Proceedings of the Information Processing in Medical Imaging, 2001

Learning Matrix Space Image Representations.
Proceedings of the Energy Minimization Methods in Computer Vision and Pattern Recognition, 2001

A Relationship between Spline-Based Deformable Models and Weighted Graphs in Non-Rigid Matching.
Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2001), 2001

2000
Self-annealing and self-annihilation: unifying deterministic annealing and relaxation labeling.
Pattern Recognit., 2000

A Bayesian Joint Mixture Framework for the Integration of Anatomical Information in Functional Image Reconstruction.
J. Math. Imaging Vis., 2000

A New Deterministic Annealing Algorithm for Maximum Clique.
Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000

A New Algorithm for Non-Rigid Point Matching.
Proceedings of the 2000 Conference on Computer Vision and Pattern Recognition (CVPR 2000), 2000

Applications of Optimizing Neural Networks in Medical Image Registration.
Proceedings of the Artificial Neural Networks in Medicine and Biology, 2000

1999
Convergence Properties of the Softassign Quadratic Assignment Algorithm.
Neural Comput., 1999

Rigid point feature registration using mutual information.
Medical Image Anal., 1999

Entropy-Based, <i>Multiple</i>-Portal-to-3DCT Registration for Prostate Radiotherapy Using Iteratively Estimated Segmentation.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 1999

Registration of Cortical Anatomical Structures via Robust 3D Point Matching.
Proceedings of the Information Processing in Medical Imaging, 1999

A New Distance Measure for Non-rigid Image Matching.
Proceedings of the Energy Minimization Methods in Computer Vision and Pattern Recognition, 1999

A mixed variable optimization approach to non-rigid image registration.
Proceedings of the Discrete Mathematical Problems with Medical Applications, 1999

1998
New algorithms for 2D and 3D point matching: pose estimation and correspondence.
Pattern Recognit., 1998

A Novel Approach for the Registration of 2D Portal and 3D CT Images for Treatment Setup Verification in Radiotherapy.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 1998

1997
A robust point-matching algorithm for autoradiograph alignment.
Medical Image Anal., 1997

The Softassign Procrustes Matching Algorithm.
Proceedings of the Information Processing in Medical Imaging, 1997

New Methods for SPECT Imaging and Pre-reconstruction Restoration.
Proceedings of the Information Processing in Medical Imaging, 1997

Self Annealing: Unifying Deterministic Annealing and Relaxation Labelling.
Proceedings of the Energy Minimization Methods in Computer Vision and Pattern Recognition, 1997

1996
A Lagrangian relaxation network for graph matching.
IEEE Trans. Neural Networks, 1996

A Graduated Assignment Algorithm for Graph Matching.
IEEE Trans. Pattern Anal. Mach. Intell., 1996

Learning with Preknowledge: Clustering with Point and Graph Matching Distance Measures.
Neural Comput., 1996

A Novel Optimizing Network Architecture with Applications.
Neural Comput., 1996

On the unification of line processes, outlier rejection, and robust statistics with applications in early vision.
Int. J. Comput. Vis., 1996

A Robust Point Matching Algorithm for Autoradiograph Alignment.
Proceedings of the Visualization in Biomedical Computing, 4th International Conference, 1996

A Convergence Proof for the Softassign Quadratic Assignment Algorithm.
Proceedings of the Advances in Neural Information Processing Systems 9, 1996

Graduated assignment graph matching.
Proceedings of International Conference on Neural Networks (ICNN'96), 1996

Graph matching by graduated assignment.
Proceedings of the 1996 Conference on Computer Vision and Pattern Recognition (CVPR '96), 1996

1995
Bayesian image reconstruction in SPECT using higher order mechanical models as priors.
IEEE Trans. Medical Imaging, 1995

A Framework for Non-rigid Matching and Correspondence.
Proceedings of the Advances in Neural Information Processing Systems 8, 1995

Softassign versus Softmax: Benchmarks in Combinatorial Optimization.
Proceedings of the Advances in Neural Information Processing Systems 8, 1995

A Geometric Criterion for Shape-Based Non-Rigid Correspondence.
Proceedings of the Procedings of the Fifth International Conference on Computer Vision (ICCV 95), 1995

1994
The outlier process: unifying line processes and robust statistics.
Proceedings of the Conference on Computer Vision and Pattern Recognition, 1994

1993
Bayesian reconstruction of functional images using anatomical information as priors.
IEEE Trans. Medical Imaging, 1993

Clustering with a Domain-Specific Distance Measure.
Proceedings of the Advances in Neural Information Processing Systems 6, 1993

Bayesian Reconstruction for Emissiom Tomography via Deterministic Annealing.
Proceedings of the Information Processing in Medical Imaging, 1993

1991
Visual Reconstruction (Andrew Blake and Andrew Zisserman).
SIAM Rev., 1991

Bayesian Reconstruction of Functional Images Using Registered Anatomical Images as Priors.
Proceedings of the Information Processing in Medical Imaging, 1991


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