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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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Abstract]
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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.
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Abstract]
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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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Abstract]
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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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Abstract]
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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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Abstract]
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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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Abstract]
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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, revised August 2011.
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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Abstract]
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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.
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Abstract]
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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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Abstract]
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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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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.
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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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Full Paper (pdf)]
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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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
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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
-----(Srivastava and 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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Abstract]
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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.
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Abstract]
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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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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.
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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)
------
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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Abstract]
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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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Abstract]
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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
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Abstract]
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Full paper (pdf)]
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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Abstract]
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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.
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Abstract]
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Full paper (pdf)]
An Efficient Representation for Computing Geodesics Between n-Dimensional Elastic Shapes
-----(Joshi, Klassen, Srivastava, Jermyn)
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IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
June 2007
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Abstract]
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Full paper (pdf)]
Riemannian Analysis of Probability Density Functions with Applications in Vision
-----(Srivastava, Jermyn, and Joshi)
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IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
June 2007
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Abstract]
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Full paper (pdf)]
An Intrinsic Framework for Analysis of Facial Surfaces
-----(Samir, Srivastava, Daoudi, and Klassen)
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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)
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Journal of American Statistical Associations
102(480), 1114-1124, December 2007
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Abstract]
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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.
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Abstract]
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Full paper (pdf)]
Cyclostationary Processes on Shape Spaces for Gait-Based Recognition
-----(Kaziska and Srivastava)
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European Conference on Computer Vision (ECCV)
May 2006
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Abstract]
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Geodesic Between 3D Closed Curves Using Path Straightening
-----(Klassen and Srivastava)
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European Conference on Computer Vision (ECCV)
May 2006
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2005
Statistical Shape Models Using Elastic-String Representations
-----(Srivastava, Jain, Joshi, and Kaziska)
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In Proceedings of Asian Conference on Computer Vision
January 2006
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On Shape of Plane Elastic Curves
-----(Mio, Srivastava, and Joshi)
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International Journal of Computer Vision
73(3), pages 307-324, July 2007.
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Abstract]
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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
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Abstract]
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Full paper (pdf)]
Automatic 3D Face Recognition Using Shapes of Facial Curves
(Samir, Srivastava and Daoudi)
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IEEE Transactions on Pattern Analysis and Machine Intelligence
28(11), 1858-1863, November 2006.
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Abstract]
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Full paper (pdf)]
A Pattern-Theoretic Characterization of Biological Growth
(Grenander, Srivastava and Saini)
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IEEE Transactions on Medical Imaging
26(5), pages 648-659, November 2007
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Abstract]
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2004
A Bayesian MRF Framework for Labeling Terrain Images Using
Hyperspectral Imaging
(Neher and Srivastava)
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IEEE Transactions on Geosciences and Remote Sensing
43(2), pages 1363-1375, June 2005.
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Abstract]
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Full paper (pdf)]
Elastic-String Models for Representation and Analysis of Planar Shapes
(Mio and Srivastava)
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Conference on Computer Vision and Pattern Recognition (CVPR)
June 2004
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Paper (pdf)]
Contour Inferences for Image Understanding
(Mio, Srivastava and Liu)
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International Journal of Computer Vision
69(1), pages 137-144, August 2006
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Full paper (pdf)]
Tools for Application-Driven Dimension Reduction
(Srivastava and Liu)
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Journal of NeuroComputing
67, pages 136-160, 2005
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Abstract]
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Full paper (pdf)]
2003
Statistical Shape Anlaysis: Clustering, Learning and Testing
(Srivastava, Joshi, Mio, and Liu)
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IEEE Transactions on Pattern Analysis and Machine
Intelligence 27(4), pages 590-602, April 2005
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Abstract]
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Full paper (pdf)]
Face Recognition Using Optimal Linear Components of Range Images
(Srivastava, Liu, and Hesher)
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Journal of Image and Vision Computing 24(3), pages 291-299, March 2006
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Abstract]
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Full paper (pdf)]
A Model Based Approach to Statistical, Multi-Modal Sensor Fusion
(Smith and Srivastava)
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Statistical Computing submitted, 2004
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Abstract]
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Geometric Analysis of Constrained Curves for Image Understanding
(Srivastava, Mio, Klassen and Liu)
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Proc. Second IEEE Workshop on Variational, Geometric and
------ Level Set Methods in Computer Vision 2003, Nice, France, October 2003
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Paper (pdf)]
Efficient Algorithms for Inferences on Grassmann Manifolds
(Gallivan, Srivastava, Liu and Van Dooren)
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Proc. 12th IEEE Workshop on Statistical Signal Processing,
St. Louis, October 2003
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Paper (pdf)]
2002
Optimal Linear Representations of Images for Object Recognition
(Liu, Srivastava and Gallivan)
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IEEE Pattern Analysis and Machine Intelligence 25(5), 662-666, May 2004.
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Abstract]
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