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2013
Affine and Projective Shape Analysis of Planar Objects
----- (D. Bryner, E. Klassen, H. Le, and A. Srivastava)
------ IEEE Transactions on Pattern Analysis and Machine Intelligence in review, 2013.
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Spherical Regression Models Using Projective Linear Transformations
----- (M. Rosenthal, W. Wu, E. Klassen, and A. Srivastava)
------ Journal of American Statistical Association in review, 2013.
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Gaussian-Blurring Invariant Comparisons of Signals and Images
----- (Z. Zhang, E. Klassen, and A. Srivastava)
------ IEEE Transactions on Image Processing accepted, 2013.
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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 in review, 2013.
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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.
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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.
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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.
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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.
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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.
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Estimating Summary Statistics in Spike Train Space
----- (W. Wu and A. Srivastava)
------ Journal of Computational Neuroscience vol 34(3), pages 391-410, June 2013.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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2010
A Mathematical Framework for Protein Structure Comparison
----- (Liu, Srivastava and Zhang)
------ PLoS Computational Biology accepted, December 2010.
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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.
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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.
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Towards Statistical Analysis of Spike Train Data
----- (Wu and Srivastava)
------ Journal of Neuroscience Methods vol. 195, issue 1, pages: 107-110, January 2011.
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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.
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Protein Structure Alignment Using Elastic Shape Analysis
-----(Liu, Srivastava, and Zheng)
------ ACM Conference on Bioinformatics and Computational Biology
August 2010
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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
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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
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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
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Detecting Shapes in 2D Point Clouds Generated from Images
-----(Su, Zhu, Huffer, and Srivastava)
------ International Conference on Pattern Recognition (ICPR), Istanbul, Turkey
August 2010
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2009
Bayesian Classification of Shapes Hidden in Point Clouds
-----(A. Srivastava and I. H. Jermyn)
------ IEEE Conference on Digital Signal Processing
January, 2009
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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
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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.
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A Gradient-Descent Method for Curve Fitting on Riemannian Manifolds
----- (Samir, Absil, Srivastava, and Klassen)
----- Foundations of Computational Mathematics, accepted for publication, January 2011.
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On Analyzing Symmetry of Objects Using Elastic Deformations
-----(Samir, Srivastava, Daoudi, and Kurtek)
------ International Conference on Computer Vision Theory and Applications (VISAPP)
February, 2009
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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.
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2008
Optimal Linear Projections for Enhancing Desired Data Statistics
----- (Rubenshtein and Srivastava)
----- Journal of Statistics and Computing, 20(3), 267-282,2010
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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
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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)
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Asilomar Conferences on Signals, Systems, and Computers
October, 2008
The Labeling of Cortical Sulci using Multidimensional Scaling
-----(Mani, Srivastava, and Barillot)
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MICCAI Workshop on Manifolds in Medical Imaging
September, 2008
Modeling Spatial Patterns of Shapes
-----(Srivastava, Liu, and Joshi)
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International Conference on Image Processing
November, 2008
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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
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2007
The Karcher Mean of a Class of Symmetric Distributions on the Circle
----- (Kaziska and Srivastava)
----- Statistics and Probability Letters , 78, 11314-1316, 2008
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Tree Species Classification Using Radiometry, Texture and Shape-Based Features
----- (Kulikova, Mani, Srivastava, Descombes, Zerubia)
----- European Conference on Signal Processing (EUSIPCO) , September 2007
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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)
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Workshop on Energy Minimization Methods in CVPR (EMMCVPR)
August, 2007
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Removing Shape-Preserving Transformations in Square-Root Elastic (SRE) Framework
for Shape Analysis of Curves
-----(Joshi, Srivastava, Klassen, and Jermyn)
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Workshop on Energy Minimization Methods in CVPR (EMMCVPR)
August, 2007
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Elastic Shape Models for Face Analysis Using Curvilinear Coordinates
-----(Srivastava, Samir, Joshi, and Daoudi)
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Journal of Mathematical Imaging and Vision
33(2), pages 253-265, February 2009.
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