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Publications

2016

Action Recognition Using Rate-Invariant Analysis of Skeletal Shape Trajectories
----- (Ben Amor, J. Su, and A. Srivastava)
------ IEEE Transaction on Pattern Analysis and Machine Intelligence , volume 38, number 1, pages 1-13, January 2016.


Gauge Invariant Framework for Shape Analysis of Surfaces
----- (A. B. Tumpach, H. Drira, M. Daoudi, and A. Srivastava)
------ IEEE Transaction on Pattern Analysis and Machine Intelligence , volume 38, number 1, pages 46-59, January 2016.


2015

Functional Data Analysis of Amplitude and Phase Variation
----- (J. S. Marron, J. O. Ramsay, L. M. Sangalli, and A. Srivastava)
------ Statistical Science , volume 30, number 4, pages 468-484, November 2015.


Bayesian Clustering of Shapes of Curves
----- (Z. Zhang, D. Pati and A. Srivastava)
------ Journal of Statistical Planning and Inference , volume 166, number 1, pages 171-186, November 2015.


Fusion of Global and Local Motion Estimation Using Foreground Objects for Distributed Video Coding
----- (A. Abou-Elailah, F. Dufaux, J. Farah, M. Cagnazzo, A. Srivastava, and B. Pesquet-Popescu)
------ IEEE Transactions on Circuits and Systems for Video Technology , volume 25, issue 6, pages 973-987, June 2015.


dd> Accurate 3D Action Recognition Using Learning on Grassmann Manifold
----- (R. Slama, H. Wannous, M. Daoudi, and A. Srivastava)
------ Pattern Recognition Journal , volume 48, issue 2, pages 556-567, February 2015.


2014

Statistics of time warpings and phase variations
----- (J. S. Marron, J. O. Ramsay, L. M. Sangalli, and A. Srivastava)
------ Electronic Journal of Statistics , vol. 8, number 2, pages 1697-1702, 2014.


Analysis of Proteomics Data: Phase Amplitude Separation Using an Extended Fisher-Rao Metric
----- (J. D. Tucker, W. Wu, and A. Srivastava)
------ Electronic Journal of Statistics , vol. 8, pages 1724-1733, 2014.


Analysis of juggling data: Alignment, Extraction, and Modeling of Juggling Cycles
----- (S. Kurtek, Q. Xie, and A. Srivastava)
------ Electronic Journal of Statistics , vol. 8, pages 1865-1873, 2014.


Numerical Inversion of SRNFs for Efficient Elastic Shape Analysis of Star-Shaped Objects
----- (Q. Xie, I. H. Jermyn, S. Kurtek, and A. Srivastava)
------ European Conference on Computer Vision (ECCV), Zurich, Switzerland, September 2014.


Metric-Based Pairwise and Multiple Image Registration
----- (Q. Xie, S. Kurtek, E. Klassen, G. E. Christensen, and A. Srivastava)
------ European Conference on Computer Vision (ECCV), Zurich, Switzerland, September 2014.


Riemannian Optimization for Elastic Shape Analysis
----- (W. Huang, K. Gallivan, A. Srivastava, P. -A. Absil)
------ Mathematical theory of Networks and Systems (MTNS), Groningen, Netherlands, July 2014


Pattern-Theory Based Interpretation of Activities
----- (F. D. de Souza, S. Sarkar, A. Srivastava, and J. Su)
------ International Conference on Pattern Recognition (ICPR), Stockholm, Sweden, August 2014.
Best Scientific Paper Award for Track 2


Handwritten Text Segmentation Using Elastic Shape Analysis
----- (S. Kurtek and A. Srivastava)
------ International Conference on Pattern Recognition (ICPR), Stockholm, Sweden, August 2014.


Landmark-Free Stiatistical Analysis of the Shape of Plant Leaves
----- (H. Laga, S. Kurtek, A. Srivastava, and S. J. Miklavcic)
------ Journal of Theoretical Biology ,volume 363, pages 41-52, August 2014.


Pairwise Alignment of Chromatograms using an Extended Fisher-Rao Metric
----- (W. E. Wallace, A. Srivastava, K. H. Telu and Y. Simon-Manso)
------ Analytica Chimica Acta , vol. 841, pages 10-16, September 2014.


Spherical Regression Models Using Projective Linear Transformations
----- (M. Rosenthal, W. Wu, E. Klassen, and A. Srivastava)
------ Journal of American Statistical Association , volume 109, number 508, pages 1615-1624, December 2014.

Analysis of Signals Under Compositional Noise With Applications to SONAR Data
----- (J. D. Tucker, W. Wu, and A. Srivastava)
------ IEEE Transactions on Oceanographic Engineering , vol. 39, number 2, pages 318-330, 2014.

RASS: A Webserver for RNA Alignment in the Joint Sequence-Structure Space
----- (G. He, A. Steppi, J. Laborde, A. Srivastava, P. Zhao, and J. Zhang)
------ Nucleic Acid Research , May 2014, doi:10.1093/nar/gku419.

2D Affine and Projective Shape Analysis
----- (D. Bryner, E. Klassen, H. Le, and A. Srivastava)
------ IEEE Trans. on Pattern Analysis and Machine Intelligence, vol. 36(5), pages 998-1011, 2014.

Differential Geometric Representations and Algorithms for Some Pattern Recognition and Computer Vision Problems
----- (R. Li, P. Turaga, A. Srivastava, and R. Chellappa)
------ Pattern Recognition Letters, vol. 43, number 1, pages 3-16, 2014.


Bayesian Active Contours with Affine-Invariant, Elastic Shape Prior
----- (D. Bryner and A. Srivastava)
------ IEEE Computer Vision and Pattern Recognition (CVPR), Columbus, OH, 2014.

Rate-Invariant Analysis of Trajectories on Riemannian Manifolds with Applications in Visual Speech Recognition
----- (J. Su, F. Souza, S. Sarkar, and A. Srivastava)
------ IEEE Computer Vision and Pattern Recognition (CVPR), Columbus, OH, 2014.
[ Abstract] [ Full Paper (pdf)]

Elastic Shape Analysis of Cylindrical Surfaces for 3D/2D Registration in Endometrial Tissue Characterization
----- (C. Samir, S. Kurtek, A. Srivastava, and M. Canis)
------ IEEE Transaction on Medical Image Analysis in press, 2014.
[ Abstract] [ Full Paper (pdf)]

2013

Statistical Analysis of Trajectories on Riemannian Manifolds: Bird Migration, Hurricane Tracking, and Video Surveillance
----- (J. Su, S. Kurtek, E. Klassen, and A. Srivastava)
------ Annals of Applied Statistics in press, 2013.
[ Abstract] [ Full Paper (pdf)]

2D Affine and Projective Shape Analysis
----- (D. Bryner, E. Klassen, H. Le, and A. Srivastava)
------ IEEE Transactions on Pattern Analysis and Machine Intelligence in press, 2013.
[ Abstract] [ Full Paper (pdf)]

Spherical Regression Models Using Projective Linear Transformations
----- (M. Rosenthal, W. Wu, E. Klassen, and A. Srivastava)
------ Journal of American Statistical Association in press, 2013.
[ Abstract] [ Full Paper (pdf)]

Gaussian-Blurring Invariant Comparisons of Signals and Images
----- (Z. Zhang, E. Klassen, and A. Srivastava)
------ IEEE Transactions on Image Processing vol. 22, number 8, pages 3145-3157, August 2013.
[ Abstract] [ Full Paper (pdf)]

Elastic Shape Models for Improving Segmentation of Object Boundaries in Synthetic Aperture Sonar Images
----- (D. Bryner, A. Srivastava, and Q. Huynh)
------ Computer Vision and Image Understanding vol. 117, number 12, pages 1695-1710, December 2013.
[ Abstract] [ Full Paper (pdf)]

Analysis of Signals Under Compositional Noise With Applications to SONAR Data
----- (J. D. Tucker, W. Wu, and A. Srivastava)
------ IEEE Transactions on Oceanographic Engineering accepted, 2013.
[ Abstract] [ Full Paper (pdf)]

Statistical Analysis of Manual Segmentations of Structures in Medical Images
----- (S. Kurtek, J. Su, C. Grimm, M. Vaughan, R. Sowell, and A. Srivastava)
------ Computer Vision and Image Understanding accepted, 2013.
[ Abstract] [ Full Paper (pdf)]

RNA Alignment in the Joint Sequence-Structure Space Using Elastic Shape Analysis
----- (J. Laborde, D. Robinson, A. Srivastava, E. Klassen, and J. Zhang)
------ Journal of Nucleic Acids Research accepted, 2013.
[ Abstract] [ Full Paper (pdf)]

Generative Models for Functional Data Using Phase and Amplitude Separation
----- (J. D. Tucker, W. Wu, and A. Srivastava)
------ Computational Statistics and Data Analysis vol. 61, pages 50-66, 2013.
[ Abstract] [ Full Paper (pdf)]

Landmark-Guided Elastic Shape Analysis of Spherically-Parameterized Surfaces
----- (S. Kurtek, A. Srivastava, E. Klassen and H. Laga)
------ Computer Graphics Forum (special issue of Eurographics) vol. 32, number 2, 2013.
[ Abstract] [ Full Paper (pdf)]


Estimating Summary Statistics in Spike Train Space
----- (W. Wu and A. Srivastava)
------ Journal of Computational Neuroscience vol 34(3), pages 391-410, June 2013.
[ Abstract] [ Full Paper (pdf)]

2012

Elastic Matching of Parameterized Surfaces Using Square-Root Normal Fields
----- (I. H. Jermyn, S. Kurtek, E. Klassen and A. Srivastava)
------ European Conference on Computer Vision (ECCV) Florence, Italy, November 2012.
[ Abstract] [ Full Paper (pdf)]

A Novel Framework for Metric-Based Image Registration
----- (Q. Xie, S. Kurtek, G. Christensen, Z. Ding, and A. Srivastava)
------ Workshop on Biomedical Image Registration (WBIR) Nashville TN, July 2012.
[ Abstract] [ Full Paper (pdf)]

Affine-Invariant Elastic Shape Analysis of Planar Contours
----- (D. Bryner, and E. Klassen, and A. Srivastava)
------IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Providence RI, June 2012.
[ Abstract] [ Full Paper (pdf)]

Elastic Symmetry Analysis of Shapes of Anatomical Structures
----- (S. Kurtek and A. Srivastava)
------IEEE Workshop on Mathematical Methods in Biomedical Image Analysis (MMBIA), Colorado Springs, January 2012.
[ Abstract] [ Full Paper (pdf)]

A Geometric Analysis of ODFs and Oriented Surfaces for Interpolation, Averaging and Denoising in HARDI Data
----- (S. Ncube, Q. Xie, and A. Srivastava)
------IEEE Workshop on Mathematical Methods in Biomedical Image Analysis (MMBIA), Colorado Springs, January 2012.
[ Abstract] [ Full Paper (pdf)]

A Riemannian Elastic Metric for Shape-based Plant Leaf Classification
----- (H. Laga, S. Kurtek, A. Srivastava, M. Golzarian, and S. Miklavcic)
------ Digital Image Computing: Technology and Applications (DICTA) Freemantle, Australia, December 2012.
[ Abstract] [ Full Paper (pdf)]

Pose and Expression-Robust 3D Face Recognition Using Elastic Radial Curves
----- (H. Drira, B. Ben Amor, M. Daoudi, and A. Srivastava)
------ IEEE Transactions on Pattern Analysis and Machine Intelligence, minor revision, September 2012.
[ Abstract] [ Full Paper (pdf)]

Detection, Classification and Estimation of Individual Shapes in 2D and 3D Point Clouds
----- (J. Su, and F. Huffer, and A. Srivastava)
------ Journal on Computational Statistics and Data Analysis, accepted for publication, September 2012.
[ Abstract] [ Full Paper (pdf)]

Geometric Feature Selection Using Machine Learning for Efficient 3D Face Recognition and Gender Classification
----- (L. Ballihi, B. Ben Amor, M. Daoudi, and A. Srivastava)
------ IEEE Transactions on Information Forensics and Security, accepted for publication, June 2012.
[ Abstract] [ Full Paper (pdf)]

2011

Computing Equilibrium Wealth Distributions in Models with Heterogeneous-Agents, Incomplete Markets, and Idiosyncratic Risk
----- (M. Badshah, P. Beaumont, and A. Srivastava)
------ Journal of Computational Economics, December 2011.


Structure-Based RNA Function Prediction Using Elastic Shape Analysis
----- (J. Laborde, A. Srivastava, and J. Zhang)
------ IEEE Conference on Bioinformatics and Biomedicine (BIBM), Atlanta, GA, November 2011.
[ Abstract] [ Full Paper (pdf)]

Signal Estimation Under Random Time Warpings and Its Applications in Nonlinear Signal Alignments
----- (S. Kurtek, W. Wu and A. Srivastava)
------ Neural Information Processing Systems (NIPS), Grenada, Spain, December 2011.
[ Abstract] [ Full Paper (pdf)]

Blurring-Invariant Riemannian Metrics for Comparing Images and Signals
----- (Z. Zhang, E. Klassen, R. Chellappa, P. Turaga, and A. Srivastava)
------ International Conference on Computer Vision (ICCV), Barcelona, Spain, November 2011.
[ Abstract] [ Full Paper (pdf)]

A Novel Riemannian Metric for Analyzing HARDI Data
----- (S. Nucbe and A. Srivastava)
------ SPIE Medical Imaging Conference on Image Processing, Orlando, FL, February 2011.


Parmeterization-Invariant Shape Statistics and Probabilistic Classification of Anatomical Surfaces
----- (S. Kurtek, Z. Ding, E. Klassen, and A. Srivastava)
------ Information Processing in Medical Imaging (IPMI), Monastree Irsay, Germany, July 2011.
[ Abstract] [ Full Paper (pdf)]

Elastic Geodesic Paths in Shape Spaces of Parameterized Surfaces
----- (S. Kurtek, E. Klassen, J. Gore, Z. Ding, and A. Srivastava)
------ IEEE Transactions on Pattern Analysis and Machine Intelligence, accepted, November 2011.
[ Abstract] [ Full Paper (pdf)]

A GRID-based Parametric Representation of Large Diffeomorphic Deformations
----- (Q. Xie and A. Srivastava)
------ 3rd Workshop on Mathematical Foundations of Computational Anatomy (MFCA), Toronto, Canada, September 2011.
[ Abstract] [ Full Paper (pdf)]

Shape Analysis of Local Patches for 3D Facial Expression Recognition
----- (A. Maalej, B. Ben Amor, M. Daoudi, A. Srivastava, and S. Berretti)
------ Pattern Recognition, vol. 44, issue 8, pages 1581-1589, August 2011.


Statistical Modeling of Curves Using Shapes and Related Features
----- (S. Kurtek, A. Srivastava, E. Klassen, and Z. Ding)
------ Journal of American Statistical Association, to appear in September 2012.
[ Abstract] [ Full Paper (pdf)]


An Information-Geometric Framework for Statistical Inferences in the Neural Spike Train Space
----- (W. Wu and A. Srivastava)
------ Journal of Computational Neuroscience, accepted, April 2011.
[ Abstract] [ Full Paper (pdf)]

Fitting Optimal Curves to Time-Indexed, Noisy Observations on Nonlinear Manifolds
----- (J. Su, I. L. Dryden, E. Klassen, H. Le and A. Srivastava)
------ Journal of Image and Vision Computing, accepted, September 2011.
[ Abstract] [ Full Paper (pdf)]

2010

A Mathematical Framework for Protein Structure Comparison
----- (Liu, Srivastava and Zhang)
------ PLoS Computational Biology accepted, December 2010.
[ Abstract] [ Full Paper (pdf)]

Parametrization-Invariant Shape Comparisons of Anatomical Surfaces
----- (Kurtek, Klassen, Ding, Jacobson, Jacobson, Avison, and Srivastava)
------ IEEE Transactions on Medical Imaging vol. 7, issue 2, pages: 1-10, February 2011.
[Abstract] [ Full Paper (pdf)]

Statistical Computations on Special Manifolds for Image and Video-Based Recognition
----- (Turaga, Veeraraghavan, Srivastava, and Chellappa)
------ IEEE Transactions on Pattern Analysis and Machine Intelligence vol. 33, issue 11, pages 2273- 2286, November 2011.
[Abstract] [ Full Paper (pdf)]

Towards Statistical Analysis of Spike Train Data
----- (Wu and Srivastava)
------ Journal of Neuroscience Methods vol. 195, issue 1, pages: 107-110, January 2011.
[Abstract] [ Full Paper (pdf)]

Gesture and Action Recognition via Modeling Trajectories on Shape Manifolds
----- (Abdelkader, Abd-Almageed, Srivastava, and Chellappa)
------ Computer Vision and Image Understanding Journal vol. 115, issue 3, pages 439-455, March 2011.
[Abstract] [ Full Paper (pdf)]

Protein Structure Alignment Using Elastic Shape Analysis
-----(Liu, Srivastava, and Zheng)
------ ACM Conference on Bioinformatics and Computational Biology August 2010
------ [ Full Paper (pdf)]
An Efficient Particle Filtering Technique on the Grassmann Manifold
-----(Rentmeesters, Absil, Van Dooren, Gallivan and Srivastava)
------ International Conference on Audio, Speech and Signal Processing (ICASSP), Dallas, TX, March 2010
------ [ Full Paper (pdf)]
A Comprehensive Riemannian Framework for Analysis of White Matter Fiber Tracts
-----(Mani, Kurtek, Barillot, and Srivastava)
------ International Symposium on Biomedical Imaging (ISBI), Rotterdam, The Netherlands, March 2010
------ [ Full Paper (pdf)]
A Novel Riemannian Framework for Shape Analysis of 3D Objects
-----(Kurtek, Klassen, Ding, and Srivastava)
------ IEEE Conference on computer Vision and Pattern Recognition (CVPR), San Francisco, CA, June 2010
------ [ Full Paper (pdf)]
Detecting Shapes in 2D Point Clouds Generated from Images
-----(Su, Zhu, Huffer, and Srivastava)
------ International Conference on Pattern Recognition (ICPR), Istanbul, Turkey August 2010
------ [ Full Paper (pdf)]

2009

Bayesian Classification of Shapes Hidden in Point Clouds
-----(A. Srivastava and I. H. Jermyn)
------ IEEE Conference on Digital Signal Processing January, 2009
------ [ Full Paper (pdf)]
A Riemannian Analysis of 3D Nose Shapes for Partial Human Biometrics
-----(Drira, Ben Amor, Srivastava and Daoudi)
------ IEEE International Conference on Computer Vision October, 2009
------ [ Full Paper (pdf)]
Shape Analysis of Elastic Curves in Euclidean Spaces
----- (Srivastava, Klassen, Joshi, and Jermyn)
----- IEEE Transactions on Pattern Analysis and Machine Intelligence , vol. 33, issue 7, pages 1415-1428, July 2011.
---- [ Abstract] [ Full Paper (pdf)]

A Gradient-Descent Method for Curve Fitting on Riemannian Manifolds
----- (Samir, Absil, Srivastava, and Klassen)
----- Foundations of Computational Mathematics, accepted for publication, January 2011.
----- [ Abstract] [ Full Paper (pdf)]

On Analyzing Symmetry of Objects Using Elastic Deformations
-----(Samir, Srivastava, Daoudi, and Kurtek)
------ International Conference on Computer Vision Theory and Applications (VISAPP) February, 2009
------ [ Full Paper (pdf)]
Calibration of Reduced Form Models; Implementation of a Kalman Smoother Expectation Minimization Procedure
----- (Ncube, Doran, and Srivastava)
----- Journal of Mathematical Finance, in review.

Statistical Analysis on Manifolds and Its Applications to Video Analysis
----- (Turaga, Veeraraghavan, Srivastava, and Chellappa)
----- Handbook on Video Search and Mining, Springer Verlag, 2009.
------ [ Full Paper (pdf)]


2008

Optimal Linear Projections for Enhancing Desired Data Statistics
----- (Rubenshtein and Srivastava)
----- Journal of Statistics and Computing, 20(3), 267-282,2010
----- [ Abstract] [ Full Paper (pdf)]

Joint Gait-Cadence Analysis for Human Identification Using An Elastic Shape Framework
----- (Kaziska and Srivastava)
----- Communications in Statistics -- Theory and Methods, 39 (10), 1817-1831, 2010
----- [ Abstract] [ Full Paper (pdf)]

Rate-Invariance Recognition of Humans and Their Activities
----- (Veeraraghavan, Srivastava, Roy-Chowdhury, and Chellappa)
----- IEEE Transactions on Image Processing 8(6), pages 1326-1339, June 2009.

Joint Shape and Texture Analysis of Objects' Boundaries in Images Using a Riemannian Approach
-----(Liu and Srivastava)
------ Asilomar Conferences on Signals, Systems, and Computers October, 2008
The Labeling of Cortical Sulci using Multidimensional Scaling
-----(Mani, Srivastava, and Barillot)
------ MICCAI Workshop on Manifolds in Medical Imaging September, 2008
Modeling Spatial Patterns of Shapes
-----(Srivastava, Liu, and Joshi)
------ International Conference on Image Processing November, 2008
------ [ Full Paper (pdf)]
Looking for Shapes in Two-Dimensional Point Clouds
----- (Srivastava and Jermyn)
----- IEEE Transactions on Pattern Analysis and Machine Intelligence 31(9), pages 1616-1629, September 2009
----- [ Abstract] [ Full Paper (pdf)]

2007

The Karcher Mean of a Class of Symmetric Distributions on the Circle
----- (Kaziska and Srivastava)
----- Statistics and Probability Letters , 78, 11314-1316, 2008
----- [ Abstract] [ Full paper (pdf)]

Tree Species Classification Using Radiometry, Texture and Shape-Based Features
----- (Kulikova, Mani, Srivastava, Descombes, Zerubia)
----- European Conference on Signal Processing (EUSIPCO) , September 2007
----- [ Abstract] [ Full paper (pdf)]

Shape Analysis of Open Curves in R3 with Applications to Study of Fiber Tracts in
DT-MRI Data Analysis of Fiber Bundles
-----(Balov, Srivastava, Li, and Ding)
------ Workshop on Energy Minimization Methods in CVPR (EMMCVPR) August, 2007
------[ Abstract] [ Full paper (pdf)]

Removing Shape-Preserving Transformations in Square-Root Elastic (SRE) Framework
for Shape Analysis of Curves
-----(Joshi, Srivastava, Klassen, and Jermyn)
------ Workshop on Energy Minimization Methods in CVPR (EMMCVPR) August, 2007
------[ Abstract] [ Full paper (pdf)]

Elastic Shape Models for Face Analysis Using Curvilinear Coordinates
-----(Srivastava, Samir, Joshi, and Daoudi)
------ Journal of Mathematical Imaging and Vision 33(2), pages 253-265, February 2009.
------[ Abstract] [ Full paper (pdf)]

An Efficient Representation for Computing Geodesics Between n-Dimensional Elastic Shapes
-----(Joshi, Klassen, Srivastava, Jermyn)
------ IEEE Conference on Computer Vision and Pattern Recognition (CVPR) June 2007
------[ Abstract] [ Full paper (pdf)]

Riemannian Analysis of Probability Density Functions with Applications in Vision
-----(Srivastava, Jermyn, and Joshi)
------ IEEE Conference on Computer Vision and Pattern Recognition (CVPR) June 2007
------[ Abstract] [ Full paper (pdf)]

An Intrinsic Framework for Analysis of Facial Surfaces
-----(Samir, Srivastava, Daoudi, and Klassen)
------ International Journal of Computer Vision 82(1), pages 80-95, April 2009.

2006

Gait-Based Human Recognition by Classification of Cyclostationary Processes on Nonlinear Shape Manifolds
-----(Kaziska and Srivastava)
------ Journal of American Statistical Associations 102(480), 1114-1124, December 2007
------[ Abstract] [ Full paper (pdf)]
Intrinsic Bayesian Active Contour for Extraction of Object Contours in Images
-----(Joshi and Srivastava)
------ International Journal of Computer Vision , 81(3), pages 331-355, March 2009.
------[ Abstract] [ Full paper (pdf)]
Cyclostationary Processes on Shape Spaces for Gait-Based Recognition
-----(Kaziska and Srivastava)
------ European Conference on Computer Vision (ECCV) May 2006
------[ Abstract] [ Full paper (pdf)]
Geodesic Between 3D Closed Curves Using Path Straightening
-----(Klassen and Srivastava)
------ European Conference on Computer Vision (ECCV) May 2006
------[ Abstract] [ Full paper (pdf)]

2005

Statistical Shape Models Using Elastic-String Representations
-----(Srivastava, Jain, Joshi, and Kaziska)
------ In Proceedings of Asian Conference on Computer Vision January 2006
------[ Abstract] [ Full paper (pdf)]
On Shape of Plane Elastic Curves
-----(Mio, Srivastava, and Joshi)
------ International Journal of Computer Vision 73(3), pages 307-324, July 2007.
------[ Abstract] [ Full paper (pdf)]
A Path-Straightening Approach for Finding Geodesics on Shape Spaces of Closed Curves in R^3
-----(Klassen and Srivastava)
------ FSU Technical Report
------[ Abstract] [ Full paper (pdf)]
Automatic 3D Face Recognition Using Shapes of Facial Curves (Samir, Srivastava and Daoudi)
------ IEEE Transactions on Pattern Analysis and Machine Intelligence 28(11), 1858-1863, November 2006.
------[ Abstract] [ Full paper (pdf)]
A Pattern-Theoretic Characterization of Biological Growth (Grenander, Srivastava and Saini)
------ IEEE Transactions on Medical Imaging 26(5), pages 648-659, November 2007
------[ Abstract] [ Full paper (pdf)]

2004

A Bayesian MRF Framework for Labeling Terrain Images Using Hyperspectral Imaging (Neher and Srivastava)
------ IEEE Transactions on Geosciences and Remote Sensing 43(2), pages 1363-1375, June 2005.
------[ Abstract] [ Full paper (pdf)]
Elastic-String Models for Representation and Analysis of Planar Shapes (Mio and Srivastava)
------ Conference on Computer Vision and Pattern Recognition (CVPR) June 2004
------ [ Paper (pdf)]
Contour Inferences for Image Understanding (Mio, Srivastava and Liu)
------ International Journal of Computer Vision 69(1), pages 137-144, August 2006
------ [ Full paper (pdf)]
Tools for Application-Driven Dimension Reduction (Srivastava and Liu)
------ Journal of NeuroComputing 67, pages 136-160, 2005
------[ Abstract] [ Full paper (pdf)]

2003

Statistical Shape Anlaysis: Clustering, Learning and Testing (Srivastava, Joshi, Mio, and Liu)
------ IEEE Transactions on Pattern Analysis and Machine Intelligence 27(4), pages 590-602, April 2005
------[ Abstract] [ Full paper (pdf)]
Face Recognition Using Optimal Linear Components of Range Images (Srivastava, Liu, and Hesher)
------ Journal of Image and Vision Computing 24(3), pages 291-299, March 2006
------[ Abstract] [ Full paper (pdf)]
A Model Based Approach to Statistical, Multi-Modal Sensor Fusion (Smith and Srivastava)
------ Statistical Computing submitted, 2004
------[ Abstract] [ Full paper (pdf)]
Geometric Analysis of Constrained Curves for Image Understanding (Srivastava, Mio, Klassen and Liu)
------ Proc. Second IEEE Workshop on Variational, Geometric and
------ Level Set Methods in Computer Vision 2003, Nice, France, October 2003
------ [ Paper (pdf)]
Efficient Algorithms for Inferences on Grassmann Manifolds (Gallivan, Srivastava, Liu and Van Dooren)
------ Proc. 12th IEEE Workshop on Statistical Signal Processing, St. Louis, October 2003
------ [ Paper (pdf)]


2002

Optimal Linear Representations of Images for Object Recognition (Liu, Srivastava and Gallivan)
------ IEEE Pattern Analysis and Machine Intelligence 25(5), 662-666, May 2004.
------[ Abstract] [ Full paper (pdf)]

Interpolations with Elasticae in Euclidean Spaces (Mio, Srivastava and Klassen)
------ Quarterly of Applied Mathematics vol. LXII, no. 2, pages 359-78, June 2004
------[ Abstract] [ Full paper (pdf)]

On Advances in Statistical Modeling of Natural Images (Srivastava, Lee, Simoncelli, and Zhu)
------ Journal of Mathematical Imaging and Vision 18(1), 17-33, 2003
------[ Abstract ] [ Full Paper (pdf)[

Analysis of Planar Shapes Using Geodesic Paths on Shape Spaces (Klassen, Srivastava and Mio)
------ IEEE Transactions on Pattern Analysis and Machine Intelligence 26(3), 372-383, March 2004
------ [ Abstract ] [ Full Paper (pdf) ]

Stochastic Models for Capturing Image Variability (Srivastava)
------ IEEE Signal Processing Magazine 19(5), 63-76, September 2002
------ [ Abstract ] [ Full Paper (pdf) ]

Statistical Hypothesis Pruning for Recognizing Faces from Infrared Images (Srivastava and Liu)
------ Journal of Image and Vision Computing 21(7), 651-661, 2003
------[ Abstract ] [ Full Paper (pdf)]

2001

Models for Statistical Analysis of Range Images (Grenander, Srivastava, and Hesher)
------ FSU Monograph
------ [ Abstract ] [ Full Paper (pdf) ]

Universal Analytical Forms for Modeling Image Probabilities (Srivastava, Grenander, and Liu)
------ IEEE Pattern Analysis and Machine Intelligence 24(9), 1200-1214, September, 2002
------ [ Abstract ] [ Full Paper (pdf) ]

Analytical Models for Reduced Spectral Representations of Images (Srivastava, Liu, and Grenander)
------ Proceedings of IEEE International Conference on Image Processing October 2001
------ Paper

Monte Carlo extrinsic estimators for manifold-valued parameters (Srivastava and Klassen)
------ IEEE Transactions on Signal Processing 50(2), 299-308, February 2002
------[ Abstract][ Full Paper (pdf)]

2000

Probability models for Clutter in Natural Images (Grenander and Srivastava)
----- IEEE Transactions on Pattern Analysis and Machine Intelligence 23(4),424-429, April 2001
------ [ Abstract ][ Full Paper (pdf) ]

Bayesian and Geometric Subspace Tracking (Srivastava and Klassen)
------ Advances in Applied Probability 36(1), 43-56, March 2004. 36(1), March 2004
------ [ Abstract][ Full Paper (pdf)]

A Nonlinear Filtering Method for Geometric Subspace Tracking
------ IEEE Sensor Array and Multichannel Signal Processing Workshop , Boston March 2000

Bayesian Filtering for Tracking Pose and Location of Rigid Targets (pdf file)
------ In proceedings of SPIE Aerosense, Orlando, FL, April 2000.

1999

Jump-Diffusion Processes on Matrix Lie Groups for Bayesian Inference
------ In proceedings of IEEE Signal Processing workshop on HIGHER-ORDER STATISTICS, pages 126-129
Caesarea, Israel, June. 1999
------with M. I. Miller and U. Grenander

Jump-Diffusion Markov Processes on Orthogonal Groups for Object Recognition (Srivastava, Jensen, Miller, and Grenander)
------ Journal of Statistical Planning and Inference 103(1/2), 15-37, March 2002.
------ [ Abstract ] [ Full Paper (pdf)]

A Bayesian approach to Geometric Subspace Estimation (Srivastava)
------ IEEE Transactions on Signal Processing, volume 48, number 5, pages 1390-1400, 2000.
------ [ Abstract][ Full Paper (pdf)]

Bayesian Automated Target Recognition (Srivastava, Miller, and Grenander)
------chapter in Handbook for Video and Image Processing, 869-881, Academic Press, 2000


1998

Performance Bounds for Subspace Estimation in Array Signal Processing
------Proc. IEEE Workshop on Statistical Signal and Array Processing, Portland, Sept. 1998.

Asymptotic Performance Analysis of Bayesian Object Recognition (Grenander, Srivastava, Miller)
------IEEE Transactions on Information Theory 46(4), 1658-1665, July, 2000.
------ [ Abstract ][ Full Paper (pdf) ]

Hilbert-Schmidt Lower Bounds for Estimators on Matrix Lie Groups for ATR (Grenander, Miller, and Srivastava)
------IEEE Transactions on Pattern Analysis and Machine Intelligence 20(8), 790-802, August, 1998.
------ [ Abstract ][ Full Paper (pdf) ]

Asymptotic Probabilities of Bayesian Detection & Recognition
------In Proceedings of International Symposium on Information Theory, Boston, August 1998
------with U. Grenander
Metrics for Target Recognition
------Proceedings SPIE Conference: Neural Networks, San Jose, January 1998, volume 3307, pages 29-37.
------with U. Grenander
Bayesian Automated Target Recognition
------An interactive CD-ROM (free) for research dissemination
------with U. Grenander

1997

Gradient Flows on Projection Matrices for Subspace Estimation
------In Proceedings of Asilomar Conference on signals, systems and computers, 1997
------with D. Fuhrmann
Accommodating Geometric and Thermodynamic Variability For Forward-Looking Infrared Sensors
------Proc. SPIE, Algorithms for Synthetic Aperture Radar IV, vol: 3070, pp. 162-72, 1997 (189k, compressed postscript).
------with M. Cooper, M. I. Miller and U. Grenander
Ergodic Algorithms on Special Euclidean Groups for ATR
------Book chapter in Mathematical Techniques in Networks and Systems, pub: Birkhauser. Jan, 1997. (590 K, compressed postscript)
------with M. I. Miller and U. Grenander


1996

Subspace Tracking via Rigid Body Dynamics
------Proc. 6th IEEE workshop on SSAP, Corfu, Greece, 1996.
------with D. Fuhrmann and H. Moon,
Inferences on Transformation Groups Generating Patterns of Rigid Motion
------D.Sc. Thesis, Department of Electrical Engineering, Washington Univ, August, 1996. (arranged chapter-wise)

1995

Conditional-Expectation Estimation Via Jump-Diffusion Processes in Multiple Target
Tracking/Recognition (Miller, Srivastava, and Grenander)
------IEEE Transactions on Signal Processing, vol: 43, number: 11, pages: 2678-2690, Nov 1995
------ [ Abstract ] [ Full Paper (pdf) ]

Multi-Target Direction of Arrival Tracking (Srivastava, Miller and Grenander)
------IEEE Transactions on Signal Processing 43(5) 1282-85, May, 1995
------ [ Abstract][ Full Paper (pdf)]

1994

Lie Group Parameterization for Dynamics Based Prior in ATR
------Proc. Sixth IEEE DSP Workshop, Yosemite, CA, Sept 1994.
------with M. I. Miller and U. Grenander

1993

Jump-Diffusion Processes for Automated Tracking-Target Recognition
------1993 Conference on Information Sciences and Systems, Johns Hopkins Univ, Baltimore, March 1993.
------with M. I. Miller, R. S. Teichman, J. A. O'Sullivan and D. L. Snyder

1992

Multi-target narrowband direction finding and tracking using motion dynamics
------Proc. 30th Annual Allerton Conference on Communication, Control, and Computing, Urbana, Sept 1992
------with M. I. Miller, N. Cutaia, J. A. O'Sullivan, D. L. Snyder

1991

Jump-Diffusion processes for object tracking and direction finding
------Proc. 29th Annual Allerton Conference on Communication, Control, and Computing, Urbana, Sept 1991.
------with M. I. Miller and U. Grenander
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