Anand Rangarajan

251 papers A* 12A 5B 16C 13Misc 6Journal 106Unranked 90

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	BigSUMO: A Scalable Framework for Big Data Traffic Analytics and Parallel Simulation. CoRR Rahul Sengupta, Nooshin Yousefzadeh, Manav Sanghvi, Yash Ranjan, Anand Rangarajan, Sanjay Ranka, Yashaswi Karnati, Jeremy Dilmore, Tushar Patel, Ryan Casburn
2026	J	`jnl`	Enactor: From Traffic Simulators to Surrogate World Models. CoRR Yash Ranjan, Rahul Sengupta, Anand Rangarajan, Sanjay Ranka
2026	J	`jnl`	Scalable Hybrid Learning Techniques for Scientific Data Compression. IEEE Trans. Parallel Distributed Syst. Tania Banerjee, Jong Choi, Jaemoon Lee, Qian Gong, Jieyang Chen, Scott Klasky, Anand Rangarajan, Sanjay Ranka
2025	J	`jnl`	A General Framework for Error-controlled Unstructured Scientific Data Compression. CoRR Qian Gong, Zhe Wang, Viktor Reshniak, Xin Liang, Jieyang Chen, Qing Liu, Tushar M. Athawale, Yi Ju, Anand Rangarajan, Sanjay Ranka, Norbert Podhorszki, Rick Archibald, Scott Klasky
2025	—	`conf`	Evaluating Generative Vehicle Trajectory Models for Traffic Intersection Dynamics. PAKDD (6) Yash Ranjan, Rahul Sengupta, Anand Rangarajan, Sanjay Ranka
2025	J	`jnl`	Evaluating Generative Vehicle Trajectory Models for Traffic Intersection Dynamics. CoRR Yash Ranjan, Rahul Sengupta, Anand Rangarajan, Sanjay Ranka
2025	—	`conf`	Foundation Model for Lossy Compression of Spatiotemporal Scientific Data. PAKDD (6) Xiao Li, Jaemoon Lee, Anand Rangarajan, Sanjay Ranka
2025	A	`conf`	Generative Latent Diffusion for Efficient Spatiotemporal Data Reduction. SC Xiao Li, Liangji Zhu, Anand Rangarajan, Sanjay Ranka
2025	J	`jnl`	Generative Latent Diffusion for Efficient Spatiotemporal Data Reduction. CoRR Xiao Li, Liangji Zhu, Anand Rangarajan, Sanjay Ranka
2025	J	`jnl`	Graph Attention Network for Lane-Wise and Topology-Invariant Intersection Traffic Simulation. IEEE Trans. Intell. Transp. Syst. Nooshin Yousefzadeh, Rahul Sengupta, Yashaswi Karnati, Anand Rangarajan, Sanjay Ranka
2025	J	`jnl`	Guaranteed Conditional Diffusion: 3D Block-based Models for Scientific Data Compression. CoRR Jaemoon Lee, Xiao Li, Liangji Zhu, Sanjay Ranka, Anand Rangarajan
2025	J	`jnl`	IntTrajSim: Trajectory Prediction for Simulating Multi-Vehicle driving at Signalized Intersections. CoRR Yash Ranjan, Rahul Sengupta, Anand Rangarajan, Sanjay Ranka
2025	—	`conf`	Inttrajsim: Trajectory Prediction for Simulating Multi-Vehicle Driving at Signalized Intersections. ITSC Yash Ranjan, Rahul Sengupta, Anand Rangarajan, Sanjay Ranka
2025	—	`conf`	Machine Learning Techniques for Data Reduction of Climate Applications. PAKDD (1) Xiao Li, Qian Gong, Jaemoon Lee, Scott Klasky, Anand Rangarajan, Sanjay Ranka
2025	A	`conf`	Stability-preserving Lossy Compression for Large-scale Partial Differential Equations. SC Qian Gong, Mark Ainsworth, Jieyang Chen, Xin Liang, Liangji Zhu, Ethan Klasky, Tushar M. Athawale, Qing Liu, Anand Rangarajan, Sanjay Ranka, Scott Klasky
2024	C	`conf`	A Data-driven Approach for Probabilistic Traffic Prediction and Simulation at Signalized Intersections. IV Aotian Wu, Yash Ranjan, Rahul Sengupta, Anand Rangarajan, Sanjay Ranka
2024	B	`conf`	A General Framework for Error-controlled Unstructured Scientific Data Compression. e-Science Qian Gong, Zhe Wang, Viktor Reshniak, Xin Liang, Jieyang Chen, Qing Liu, Tushar M. Athawale, Yi Ju, Anand Rangarajan, Sanjay Ranka, Norbert Podhorszki, Rick Archibald, Scott Klasky
2024	J	`jnl`	An Efficient Semi-Automated Scheme for Infrastructure LiDAR Annotation. IEEE Trans. Intell. Transp. Syst. Aotian Wu, Pan He, Xiao Li, Ke Chen, Sanjay Ranka, Anand Rangarajan
2024	B	`conf`	Attention Based Machine Learning Methods for Data Reduction with Guaranteed Error Bounds. IEEE Big Data Xiao Li, Jaemoon Lee, Anand Rangarajan, Sanjay Ranka
2024	J	`jnl`	Attention Based Machine Learning Methods for Data Reduction with Guaranteed Error Bounds. CoRR Xiao Li, Jaemoon Lee, Anand Rangarajan, Sanjay Ranka
2024	J	`jnl`	Foundation Model for Lossy Compression of Spatiotemporal Scientific Data. CoRR Xiao Li, Jaemoon Lee, Anand Rangarajan, Sanjay Ranka
2024	J	`jnl`	Graph Attention Network for Lane-Wise and Topology-Invariant Intersection Traffic Simulation. CoRR Nooshin Yousefzadeh, Rahul Sengupta, Yashaswi Karnati, Anand Rangarajan, Sanjay Ranka
2024	B	`conf`	Guaranteeing Error Bounds with Preservation of Derived Quantities in Compressive Autoencoders. DCC Jaemoon Lee, Anand Rangarajan, Sanjay Ranka
2024	B	`conf`	Hybrid Approaches for Data Reduction of Spatiotemporal Scientific Applications. DCC Xiao Li, Qian Gong, Jaemoon Lee, Scott Klasky, Anand Rangarajan, Sanjay Ranka
2024	J	`jnl`	MGARD: A multigrid framework for high-performance, error-controlled data compression and refactoring. CoRR Qian Gong, Jieyang Chen, Ben Whitney, Xin Liang, Viktor Reshniak, Tania Banerjee, Jaemoon Lee, Anand Rangarajan, Lipeng Wan, Nicolas Vidal, Qing Liu, Ana Gainaru, Norbert Podhorszki, Richard Archibald, Sanjay Ranka, Scott Klasky
2024	—	`conf`	MTDT: A Multi-Task Deep Learning Digital Twin. ITSC Nooshin Yousefzadeh, Rahul Sengupta, Yashaswi Karnati, Anand Rangarajan, Sanjay Ranka
2024	J	`jnl`	MTDT: A Multi-Task Deep Learning Digital Twin. CoRR Nooshin Yousefzadeh, Rahul Sengupta, Yashaswi Karnati, Anand Rangarajan, Sanjay Ranka
2024	J	`jnl`	Machine Learning Techniques for Data Reduction of CFD Applications. CoRR Jaemoon Lee, Ki Sung Jung, Qian Gong, Xiao Li, Scott Klasky, Jacqueline Chen, Anand Rangarajan, Sanjay Ranka
2024	J	`jnl`	Machine Learning Techniques for Data Reduction of Climate Applications. CoRR Xiao Li, Qian Gong, Jaemoon Lee, Scott Klasky, Anand Rangarajan, Sanjay Ranka
2024	J	`jnl`	Spatiotemporally adaptive compression for scientific dataset with feature preservation - a case study on simulation data with extreme climate events analysis. CoRR Qian Gong, Chengzhu Zhang, Xin Liang, Viktor Reshniak, Jieyang Chen, Anand Rangarajan, Sanjay Ranka, Nicolas Vidal, Lipeng Wan, Paul Ullrich, Norbert Podhorszki, Robert Jacob, Scott Klasky
2024	J	`jnl`	Toward Improving the Generation Quality of Autoregressive Slot VAEs. Neural Comput. Patrick Emami, Pan He, Sanjay Ranka, Anand Rangarajan
2024	—	`conf`	Video-Based Pedestrian and Vehicle Traffic Analysis During Football Games. ITSC Jacques P. Fleischer, Ryan Pallack, Ahan Mishra, Gustavo Riente de Andrade, Subhadipto Poddar, Emmanuel Posadas, Robert Schenck, Tania Banerjee, Anand Rangarajan, Sanjay Ranka
2024	J	`jnl`	Video-based Pedestrian and Vehicle Traffic Analysis During Football Games. CoRR Jacques P. Fleischer, Ryan Pallack, Ahan Mishra, Gustavo Riente de Andrade, Subhadipto Poddar, Emmanuel Posadas, Robert Schenck, Tania Banerjee, Anand Rangarajan, Sanjay Ranka
2023	—	`conf`	A Multi-Sensor Video/LiDAR System for Analyzing Intersection Safety. ITSC Aotian Wu, Tania Banerjee, Ke Chen, Anand Rangarajan, Sanjay Ranka
2023	—	`conf`	A Spatiotemporal Correspondence Approach to Unsupervised LiDAR Segmentation with Traffic Applications. ITSC Xiao Li, Pan He, Aotian Wu, Sanjay Ranka, Anand Rangarajan
2023	J	`jnl`	A Spatiotemporal Correspondence Approach to Unsupervised LiDAR Segmentation with Traffic Applications. CoRR Xiao Li, Pan He, Aotian Wu, Sanjay Ranka, Anand Rangarajan
2023	J	`jnl`	An Efficient Semi-Automated Scheme for Infrastructure LiDAR Annotation. CoRR Aotian Wu, Pan He, Xiao Li, Ke Chen, Sanjay Ranka, Anand Rangarajan
2023	J	`jnl`	Computing Arterial Travel Time Distributions From Loop Detector and Probe Datasets. IEEE Trans. Intell. Transp. Syst. Rahul Sengupta, Rohith R. K. Reddy, Parth Shah, James Dika, Xiaohui Huang, Anand Rangarajan, Sanjay Ranka
2023	B	`conf`	Constrained Autoencoders: Incorporating equality constraints in learned scientific data compression. DCC Jaemoon Lee, Anand Rangarajan, Sanjay Ranka
2023	Misc	`conf`	Fast Algorithms for Scientific Data Compression. HiPC Tania Banerjee, Jaemoon Lee, Jong Choi, Qian Gong, Jieyang Chen, Scott Klasky, Anand Rangarajan, Sanjay Ranka
2023	J	`jnl`	Learning Canonical Embeddings for Unsupervised Shape Correspondence With Locally Linear Transformations. IEEE Trans. Pattern Anal. Mach. Intell. Pan He, Patrick Emami, Sanjay Ranka, Anand Rangarajan
2023	J	`jnl`	MGARD: A multigrid framework for high-performance, error-controlled data compression and refactoring. SoftwareX Qian Gong, Jieyang Chen, Ben Whitney, Xin Liang, Viktor Reshniak, Tania Banerjee, Jaemoon Lee, Anand Rangarajan, Lipeng Wan, Nicolas Vidal, Qing Liu, Ana Gainaru, Norbert Podhorszki, Richard Archibald, Sanjay Ranka, Scott Klasky
2023	—	`conf`	Nonlinear constraint satisfaction for compressive autoencoders using instance-specific linear operators. IC3 Jaemoon Lee, Anand Rangarajan, Sanjay Ranka
2023	—	`conf`	Nonlinear-by-Linear: Guaranteeing Error Bounds in Compressive Autoencoders. IC3 Jaemoon Lee, Anand Rangarajan, Sanjay Ranka
2023	B	`conf`	Online and Scalable Data Compression Pipeline with Guarantees on Quantities of Interest. e-Science Tania Banerjee, Jaemoon Lee, Jong Choi, Qian Gong, Jieyang Chen, Choong-Seock Chang, Scott Klasky, Anand Rangarajan, Sanjay Ranka
2023	B	`conf`	Spatiotemporally Adaptive Compression for Scientific Dataset with Feature Preservation - A Case Study on Simulation Data with Extreme Climate Events Analysis. e-Science Qian Gong, Chengzhu Zhang, Xin Liang, Viktor Reshniak, Jieyang Chen, Anand Rangarajan, Sanjay Ranka, Nicolas Vidal, Lipeng Wan, Paul Ullrich, Norbert Podhorszki, Robert Jacob, Scott Klasky
2023	C	`conf`	Towards Effective Traffic Signal Safety and Optimization Using Fisheye Video. VEHITS Rahul Sengupta, Tania Banerjee, Ke Chen, Yashaswi Karnati, Sanjay Ranka, Anand Rangarajan
2023	C	`conf`	Using DSRC Road-Side Unit Data to Derive Braking Behavior. VEHITS Rahul Sengupta, Tania Banerjee, Yashaswi Karnati, Sanjay Ranka, Anand Rangarajan
2022	—	`conf`	A Modern Intersection Data Analytics System for Pedestrian and Vehicular Safety. ITSC Tania Banerjee, Ke Chen, Alejandro Almaraz, Rahul Sengupta, Yashaswi Karnati, Bryce Grame, Emmanuel Posadas, Subhadipto Poddar, Robert Schenck, Jeremy Dilmore, Siva Srinivasan, Anand Rangarajan, Sanjay Ranka
2022	Misc	`conf`	An Algorithmic and Software Pipeline for Very Large Scale Scientific Data Compression with Error Guarantees. HIPC Tania Banerjee, Jong Choi, Jaemoon Lee, Qian Gong, Ruonan Wang, Scott Klasky, Anand Rangarajan, Sanjay Ranka
2022	J	`jnl`	Automated Truck Taxonomy Classification Using Deep Convolutional Neural Networks. Int. J. Intell. Transp. Syst. Res. Abdullah Almutairi, Pan He, Anand Rangarajan, Sanjay Ranka
2022	J	`jnl`	Expressing linear equality constraints in feedforward neural networks. CoRR Anand Rangarajan, Pan He, Jaemoon Lee, Tania Banerjee, Sanjay Ranka
2022	J	`jnl`	Learning Canonical Embeddings for Unsupervised Shape Correspondence with Locally Linear Transformations. CoRR Pan He, Patrick Emami, Sanjay Ranka, Anand Rangarajan
2022	J	`jnl`	Learning Scene Dynamics from Point Cloud Sequences. Int. J. Comput. Vis. Pan He, Patrick Emami, Sanjay Ranka, Anand Rangarajan
2022	J	`jnl`	Machine-Learning-Based Real-Time Multi-Camera Vehicle Tracking and Travel-Time Estimation. J. Imaging Xiaohui Huang, Pan He, Anand Rangarajan, Sanjay Ranka
2022	B	`conf`	Region-adaptive, Error-controlled Scientific Data Compression using Multilevel Decomposition. SSDBM Qian Gong, Ben Whitney, Chengzhu Zhang, Xin Liang, Anand Rangarajan, Jieyang Chen, Lipeng Wan, Paul Ullrich, Qing Liu, Robert Jacob, Sanjay Ranka, Scott Klasky
2022	J	`jnl`	Scalable Hybrid Learning Techniques for Scientific Data Compression. CoRR Tania Banerjee, Jong Choi, Jaemoon Lee, Qian Gong, Jieyang Chen, Scott Klasky, Anand Rangarajan, Sanjay Ranka
2022	A*	`conf`	Self-Supervised Robust Scene Flow Estimation via the Alignment of Probability Density Functions. AAAI Pan He, Patrick Emami, Sanjay Ranka, Anand Rangarajan
2022	J	`jnl`	Self-Supervised Robust Scene Flow Estimation via the Alignment of Probability Density Functions. CoRR Pan He, Patrick Emami, Sanjay Ranka, Anand Rangarajan
2022	J	`jnl`	Slot Order Matters for Compositional Scene Understanding. CoRR Patrick Emami, Pan He, Sanjay Ranka, Anand Rangarajan
2022	J	`jnl`	Subcycle Waveform Modeling of Traffic Intersections Using Recurrent Attention Networks. IEEE Trans. Intell. Transp. Syst. Yashaswi Karnati, Rahul Sengupta, Anand Rangarajan, Sanjay Ranka
2021	J	`jnl`	A web-based visual analytics system for traffic intersection datasets. Int. J. Big Data Intell. Ke Chen, Tania Banerjee, Xiaohui Huang, Zhaowen Ding, Naga Venkata Sai Varanasi, Anand Rangarajan, Sanjay Ranka
2021	—	`conf`	An Automated Framework for Deriving Intersection Coordination Plans. ITSC Dhruv Mahajan, Yashaswi Karnati, Jeremy Dilmore, Anand Rangarajan, Sanjay Ranka
2021	J	`jnl`	Domain-Guided Machine Learning for Remotely Sensed In-Season Crop Growth Estimation. Remote. Sens. George Worrall, Anand Rangarajan, Jasmeet Judge
2021	J	`jnl`	Domain-guided Machine Learning for Remotely Sensed In-Season Crop Growth Estimation. CoRR George Worrall, Anand Rangarajan, Jasmeet Judge
2021	A*	`conf`	Efficient Iterative Amortized Inference for Learning Symmetric and Disentangled Multi-Object Representations. ICML Patrick Emami, Pan He, Sanjay Ranka, Anand Rangarajan
2021	J	`jnl`	Efficient Iterative Amortized Inference for Learning Symmetric and Disentangled Multi-Object Representations. CoRR Patrick Emami, Pan He, Sanjay Ranka, Anand Rangarajan
2021	—	`conf`	Hybrid Generative Models for Two-Dimensional Datasets. ICANN (2) Hoda Shajari, Jaemoon Lee, Sanjay Ranka, Anand Rangarajan
2021	J	`jnl`	Hybrid Generative Models for Two-Dimensional Datasets. CoRR Hoda Shajari, Jaemoon Lee, Sanjay Ranka, Anand Rangarajan
2021	J	`jnl`	Learning Scene Dynamics from Point Cloud Sequences. CoRR Pan He, Patrick Emami, Sanjay Ranka, Anand Rangarajan
2021	C	`conf`	Subcycle-based Neural Network Algorithms for Turning Movement Count Prediction. VEHITS Yashaswi Karnati, Rahul Sengupta, Anand Rangarajan, Sanjay Ranka
2021	—	`conf`	TQAM: Temporal Attention for Cycle-wise Queue Length Estimation using High-Resolution Loop Detector Data. ITSC Rahul Sengupta, Yashaswi Karnati, Anand Rangarajan, Sanjay Ranka
2021	—	`conf`	Trajectory Prediction via Learning Motion Cluster Patterns in Curvilinear Coordinates. ITSC Aotian Wu, Tania Banerjee, Anand Rangarajan, Sanjay Ranka
2021	J	`jnl`	Truck and Trailer Classification With Deep Learning Based Geometric Features. IEEE Trans. Intell. Transp. Syst. Pan He, Aotian Wu, Xiaohui Huang, Jerry Scott, Anand Rangarajan, Sanjay Ranka
2020	C	`conf`	A Data Driven Approach to Derive Traffic Intersection Geography using High Resolution Controller Logs. VEHITS Dhruv Mahajan, Tania Banerjee, Yashaswi Karnati, Anand Rangarajan, Sanjay Ranka
2020	J	`jnl`	A Grassmannian Graph Approach to Affine Invariant Feature Matching. IEEE Trans. Image Process. Mark Moyou, Anand Rangarajan, John Corring, Adrian M. Peter
2020	—	`conf`	A Platoon Matching Approach for the Estimation of Arterial Travel Time Distributions. ITSC Rahul Sengupta, Rohith R. K. Reddy, Parth Shah, Anand Rangarajan, Sanjay Ranka
2020	—	`conf`	A Scalable Data Analytics and Visualization System for City-wide Traffic Signal Data-sets. ITSC Dhruv Mahajan, Yashaswi Karnati, Tania Banerjee, Varun Reddy Regalla, Rohith R. K. Reddy, Anand Rangarajan, Sanjay Ranka
2020	J	`jnl`	A Unified Framework for Multiclass and Multilabel Support Vector Machines. CoRR Hoda Shajari, Anand Rangarajan
2020	C	`conf`	A Visual Analytics System for Processed Videos from Traffic Intersections. VEHITS Ke Chen, Tania Banerjee, Xiaohui Huang, Anand Rangarajan, Sanjay Ranka
2020	J	`jnl`	An Integrated Approach to Registration and Fusion of Hyperspectral and Multispectral Images. IEEE Trans. Geosci. Remote. Sens. Yuan Zhou, Anand Rangarajan, Paul D. Gader
2020	C	`conf`	Clustering Object Trajectories for Intersection Traffic Analysis. VEHITS Tania Banerjee, Xiaohui Huang, Ke Chen, Anand Rangarajan, Sanjay Ranka
2020	C	`conf`	Data Mining Algorithms for Traffic Interruption Detection. VEHITS Yashaswi Karnati, Dhruv Mahajan, Anand Rangarajan, Sanjay Ranka
2020	J	`jnl`	Intelligent Intersection: Two-stream Convolutional Networks for Real-time Near-accident Detection in Traffic Video. ACM Trans. Spatial Algorithms Syst. Xiaohui Huang, Pan He, Anand Rangarajan, Sanjay Ranka
2020	—	`conf`	Machine Learning Algorithms for Traffic Interruption Detection. FMEC Yashaswi Karnati, Dhruv Mahajan, Anand Rangarajan, Sanjay Ranka
2020	C	`conf`	Machine Learning based Video Processing for Real-time Near-Miss Detection. VEHITS Xiaohui Huang, Tania Banerjee, Ke Chen, Naga Venkata Sai Varanasi, Anand Rangarajan, Sanjay Ranka
2020	Misc	`conf`	SparsePipe: Parallel Deep Learning for 3D Point Clouds. HiPC Keke Zhai, Pan He, Tania Banerjee, Anand Rangarajan, Sanjay Ranka
2020	J	`jnl`	SparsePipe: Parallel Deep Learning for 3D Point Clouds. CoRR Keke Zhai, Pan He, Tania Banerjee, Anand Rangarajan, Sanjay Ranka
2020	—	`conf`	Unsupervised Summarization and Change Detection in High-Resolution Signalized Intersection Datasets. ITSC Dhruv Mahajan, Yashaswi Karnati, Anand Rangarajan, Sanjay Ranka
2020	C	`conf`	Video-based Machine Learning System for Commodity Classification. VEHITS Pan He, Aotian Wu, Xiaohui Huang, Anand Rangarajan, Sanjay Ranka
2019	—	`conf`	A Multi-sensor System for Traffic Analysis at Smart Intersections. IC3 Tania Banerjee, Ke Chen, Xiaohui Huang, Anand Rangarajan, Sanjay Ranka
2019	C	`conf`	Analyzing Traffic Signal Performance Measures to Automatically Classify Signalized Intersections. VEHITS Dhruv Mahajan, Tania Banerjee, Anand Rangarajan, Nithin Agarwal, Jeremy Dilmore, Emmanuel Posadas, Sanjay Ranka
2019	—	`conf`	Deep Learning based Geometric Features for Effective Truck Selection and Classification from Highway Videos. ITSC Pan He, Aotian Wu, Xiaohui Huang, Jerry Scott, Anand Rangarajan, Sanjay Ranka
2019	J	`jnl`	Intelligent Intersection: Two-Stream Convolutional Networks for Real-time Near Accident Detection in Traffic Video. CoRR Xiaohui Huang, Pan He, Anand Rangarajan, Sanjay Ranka
2018	J	`jnl`	A Gaussian Mixture Model Representation of Endmember Variability in Hyperspectral Unmixing. IEEE Trans. Image Process. Yuan Zhou, Anand Rangarajan, Paul D. Gader
2018	B	`conf`	An Efficient Deep Representation Based Framework for Large-Scale Terrain Classification. ICPR Yupeng Yan, Anand Rangarajan, Sanjay Ranka
2018	—	`conf`	Densely Labeling Large-Scale Satellite Images with Generative Adversarial Networks. DASC/PiCom/DataCom/CyberSciTech Yupeng Yan, Xiaohui Huang, Anand Rangarajan, Sanjay Ranka
2018	—	`conf`	Global Model Interpretation Via Recursive Partitioning. HPCC/SmartCity/DSS Chengliang Yang, Anand Rangarajan, Sanjay Ranka
2018	J	`jnl`	Global Model Interpretation via Recursive Partitioning. CoRR Chengliang Yang, Anand Rangarajan, Sanjay Ranka
2018	J	`jnl`	Image Stacks as Parametric Surfaces: Application to Image Registration. IEEE Trans. Image Process. Birmingham H. Guan, Anand Rangarajan
2018	J	`jnl`	Spatial Scaling Using Temporal Correlations and Ensemble Learning to Obtain High-Resolution Soil Moisture. IEEE Trans. Geosci. Remote. Sens. Subit Chakrabarti, Jasmeet Judge, Tara Bongiovanni, Anand Rangarajan, Sanjay Ranka
2018	J	`jnl`	Spherical Minimum Description Length. Entropy Trevor Herntier, Koffi Eddy Ihou, Anthony O. Smith, Anand Rangarajan, Adrian M. Peter
2018	J	`jnl`	Supervoxel-based segmentation of 3D imagery with optical flow integration for spatiotemporal processing. IPSJ Trans. Comput. Vis. Appl. Xiaohui Huang, Chengliang Yang, Sanjay Ranka, Anand Rangarajan
2018	Misc	`conf`	Visual Explanations From Deep 3D Convolutional Neural Networks for Alzheimer's Disease Classification. AMIA Chengliang Yang, Anand Rangarajan, Sanjay Ranka
2018	J	`jnl`	Visual Explanations From Deep 3D Convolutional Neural Networks for Alzheimer's Disease Classification. CoRR Chengliang Yang, Anand Rangarajan, Sanjay Ranka
2017	J	`jnl`	A Gaussian mixture model representation of endmember variability in hyperspectral unmixing. CoRR Yuan Zhou, Anand Rangarajan, Paul D. Gader
2017	C	`conf`	A spatio-temporal data fusion algorithm for estimating high-resolution soil moisture in agricultural regions. IGARSS Subit Chakrabarti, Pang-Wei Liu, Jasmeet Judge, Anand Rangarajan, Roger D. De Roo, Rajat Bindlish, Andreas Colliander, Sidharth Misra, Scott Tripp, Barron Latham, Ross Williamson, Isaac Ramos, Thomas J. Jackson, Anthony W. England, Sanjay Ranka, Simon Yueh
2017	J	`jnl`	Graph-based semi-supervised classification on very high resolution remote sensing images. Int. J. Big Data Intell. Yupeng Yan, Manu Sethi, Anand Rangarajan, Ranga Raju Vatsavai, Sanjay Ranka
2017	—	`conf`	Nonrigid Registration of Hyperspectral and Color Images with Vastly Different Spatial and Spectral Resolutions for Spectral Unmixing and Pansharpening. CVPR Workshops Yuan Zhou, Anand Rangarajan, Paul D. Gader
2017	—	`conf`	Super-Scalable Computation Framework for Automated Terrain Identification. DASC/PiCom/DataCom/CyberSciTech Yupeng Yan, Manu Sethi, Anand Rangarajan, Sanjay Ranka
2017	J	`jnl`	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. Subit Chakrabarti, Jasmeet Judge, Anand Rangarajan, Sanjay Ranka
2016	J	`jnl`	A Category Space Approach to Supervised Dimensionality Reduction. CoRR Anthony O. Smith, Anand Rangarajan
2016	J	`jnl`	A Compositional Approach to Language Modeling. CoRR Kushal Arora, Anand Rangarajan
2016	—	`conf`	A Gaussian mixture model representation of endmember variability for spectral unmixing. WHISPERS Yuan Zhou, Anand Rangarajan, Paul D. Gader
2016	J	`jnl`	A Grassmannian Graph Approach to Affine Invariant Feature Matching. CoRR Mark Moyou, John Corring, Adrian M. Peter, Anand Rangarajan
2016	J	`jnl`	A Spatial Compositional Model for Linear Unmixing and Endmember Uncertainty Estimation. IEEE Trans. Image Process. Yuan Zhou, Anand Rangarajan, Paul D. Gader
2016	J	`jnl`	Disaggregation of Remotely Sensed Soil Moisture in Heterogeneous Landscapes Using Holistic Structure-Based Models. IEEE Trans. Geosci. Remote. Sens. Subit Chakrabarti, Jasmeet Judge, Tara Bongiovanni, Anand Rangarajan, Sanjay Ranka
2016	J	`jnl`	Disaggregation of SMAP L3 Brightness Temperatures to 9km using Kernel Machines. CoRR Subit Chakrabarti, Tara Bongiovanni, Jasmeet Judge, Anand Rangarajan, Sanjay Ranka
2016	J	`jnl`	Guest Editorial: Shape Analysis Beyond the Eikonal Equation. J. Math. Imaging Vis. Sibel Tari, Luminita A. Vese, Anand Rangarajan
2016	B	`conf`	Image stack surface area minimization for groupwise and multimodal affine registration. ICPR Birmingham H. Guan, John Corring, Manu Sethi, Sanjay Ranka, Anand Rangarajan
2016	—	`conf`	Resonant Deformable Matching: Simultaneous Registration and Reconstruction. ECCV (6) John Corring, Anand Rangarajan
2016	J	`jnl`	Spatial Scaling of Satellite Soil Moisture using Temporal Correlations and Ensemble Learning. CoRR Subit Chakrabarti, Jasmeet Judge, Tara Bongiovanni, Anand Rangarajan, Sanjay Ranka
2016	—	`conf`	Supervised learning for brain MR segmentation via fusion of partially labeled multiple atlases. ISBI Yan Deng, Anand Rangarajan, Baba C. Vemuri
2016	—	`conf`	Supervoxel-Based Segmentation of 3D Volumetric Images. ACCV (1) Chengliang Yang, Manu Sethi, Anand Rangarajan, Sanjay Ranka
2015	J	`jnl`	A spatial compositional model (SCM) for linear unmixing and endmember uncertainty estimation. CoRR Yuan Zhou, Anand Rangarajan, Paul D. Gader
2015	—	`conf`	A spatial compositional model for linear unmixing. WHISPERS Yuan Zhou, Anand Rangarajan, Paul D. Gader
2015	B	`conf`	An uncertainty-driven approach to vortex analysis using oracle consensus and spatial proximity. PacificVis Ayan Biswas, David S. Thompson, Wenbin He, Qi Deng, Chun-Ming Chen, Han-Wei Shen, Raghu Machiraju, Anand Rangarajan
2015	J	`jnl`	Disaggregation of Remotely Sensed Soil Moisture in Heterogeneous Landscapes using Holistic Structure based Models. CoRR Subit Chakrabarti, Jasmeet Judge, Anand Rangarajan, Sanjay Ranka
2015	—	`conf`	Discriminative Interpolation for Classification of Functional Data. ECML/PKDD (1) Rana Haber, Anand Rangarajan, Adrian M. Peter
2015	J	`jnl`	Downscaling Microwave Brightness Temperatures Using Self Regularized Regressive Models. CoRR Subit Chakrabarti, Jasmeet Judge, Anand Rangarajan, Sanjay Ranka
2015	C	`conf`	Downscaling microwave brightness temperatures using self regularized regressive models. IGARSS Subit Chakrabarti, Jasmeet Judge, Anand Rangarajan, Sanjay Ranka
2015	J	`jnl`	Nonlinear Unmixing by Using Different Metrics in a Linear Unmixing Chain. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Rob Heylen, Paul Scheunders, Anand Rangarajan, Paul D. Gader
2015	A*	`conf`	Scalable Machine Learning Approaches for Neighborhood Classification Using Very High Resolution Remote Sensing Imagery. KDD Manu Sethi, Yupeng Yan, Anand Rangarajan, Ranga Raju Vatsavai, Sanjay Ranka
2014	A*	`conf`	A Riemannian Framework for Matching Point Clouds Represented by the Schrödinger Distance Transform. CVPR Yan Deng, Anand Rangarajan, Stephan J. Eisenschenk, Baba C. Vemuri
2014	—	`conf`	A Schrödinger formalism for simultaneously computing the Euclidean distance transform and its gradient density. ICVGIP Karthik S. Gurumoorthy, Anand Rangarajan
2014	J	`jnl`	A fast eikonal equation solver using the Schrödinger wave equation. CoRR Karthik S. Gurumoorthy, Anand Rangarajan
2014	—	`conf`	A new energy minimization framework and sparse linear system for path planning and shape from shading. ICVGIP Adrian M. Peter, Karthik S. Gurumoorthy, Mark Moyou, Anand Rangarajan
2014	—	`conf`	An efficient computational framework for labeling large scale spatiotemporal remote sensing datasets. IC3 Manu Sethi, Yupeng Yan, Anand Rangarajan, Ranga Raju Vatsavaiy, Sanjay Ranka
2014	—	`conf`	An integrated graph cuts segmentation and piece-wise convex unmixing approach for hyperspectral imaging. WHISPERS Pegah Massoudifar, Anand Rangarajan, Alina Zare, Paul D. Gader
2014	J	`jnl`	Boosting Techniques for Physics-Based Vortex Detection. Comput. Graph. Forum L. Zhang, Qi Deng, Raghu Machiraju, Anand Rangarajan, David S. Thompson, D. Keith Walters, Han-Wei Shen
2014	—	`conf`	Nonlinear unmixing by using non-euclidean metrics in a linear unmixing chain. WHISPERS Rob Heylen, Paul Scheunders, Anand Rangarajan, Paul D. Gader
2014	J	`jnl`	Revisioning the unification of syntax, semantics and statistics in shape analysis. Pattern Recognit. Lett. Anand Rangarajan
2014	B	`conf`	Shape from Phase: An Integrated Level Set and Probability Density Shape Representation. ICPR John Corring, Anand Rangarajan
2014	—	`conf`	Superpixel Estimation for Hyperspectral Imagery. CVPR Workshops Pegah Massoudifar, Anand Rangarajan, Paul D. Gader
2013	J	`jnl`	Image Denoising Using the Higher Order Singular Value Decomposition. IEEE Trans. Pattern Anal. Mach. Intell. Ajit Rajwade, Anand Rangarajan, Arunava Banerjee
2012	J	`jnl`	Construction of a neuroanatomical shape complex atlas from 3D MRI brain structures. NeuroImage Ting Chen, Anand Rangarajan, Stephan J. Eisenschenk, Baba C. Vemuri
2012	Misc	`conf`	Data-driven tree-structured Bayesian network for image segmentation. ICASSP Kittipat Kampa, José C. Príncipe, Duangmanee Putthividhya, Anand Rangarajan
2012	J	`jnl`	Distance Transform Gradient Density Estimation Using the Stationary Phase Approximation. SIAM J. Math. Anal. Karthik S. Gurumoorthy, Anand Rangarajan
2012	A*	`conf`	The Schrödinger distance transform (SDT) for point-sets and curves. CVPR Manu Sethi, Anand Rangarajan, Karthik S. Gurumoorthy
2011	—	`conf`	An information geometry approach to shape density Minimum Description Length model selection. ICCV Workshops Adrian M. Peter, Anand Rangarajan
2011	J	`jnl`	Fast convolution-based methods for computing the signed distance function and its derivatives CoRR Karthik S. Gurumoorthy, Anand Rangarajan, Manu Sethi
2011	—	`conf`	Mixture of Segmenters with Discriminative Spatial Regularization and Sparse Weight Selection. MICCAI (3) Ting Chen, Baba C. Vemuri, Anand Rangarajan, Stephan J. Eisenschenk
2011	J	`jnl`	PET Image Reconstruction Using Information Theoretic Anatomical Priors. IEEE Trans. Medical Imaging Sangeetha Somayajula, Christos Panagiotou, Anand Rangarajan, Quanzheng Li, Simon R. Arridge, Richard M. Leahy
2011	—	`conf`	The Complex Wave Representation of Distance Transforms. EMMCVPR Karthik S. Gurumoorthy, Anand Rangarajan, Arunava Banerjee
2011	—	`conf`	Using the Higher Order Singular Value Decomposition for Video Denoising. EMMCVPR Ajit Rajwade, Anand Rangarajan, Arunava Banerjee
2010	J	`jnl`	A Method for Compact Image Representation Using Sparse Matrix and Tensor Projections Onto Exemplar Orthonormal Bases. IEEE Trans. Image Process. Karthik S. Gurumoorthy, Ajit Rajwade, Arunava Banerjee, Anand Rangarajan
2010	—	`conf`	Automated Filter Parameter Selection Using Measures of Noiseness. CRV Ajit Rajwade, Anand Rangarajan, Arunava Banerjee
2010	—	`conf`	CAVIAR: classification via aggregated regression and its application in classifying oasis brain database. ISBI Ting Chen, Anand Rangarajan, Baba C. Vemuri
2010	—	`conf`	Construction of Neuroanatomical Shape Complex Atlas from 3D Brain MRI. MICCAI (3) Ting Chen, Anand Rangarajan, Stephan J. Eisenschenk, Baba C. Vemuri
2010	J	`jnl`	Group-Wise Point-Set Registration Using a Novel CDF-Based Havrda-Charvát Divergence. Int. J. Comput. Vis. Ting Chen, Baba C. Vemuri, Anand Rangarajan, Stephan J. Eisenschenk
2009	—	`conf`	A Schrödinger Equation for the Fast Computation of Approximate Euclidean Distance Functions. SSVM Karthik S. Gurumoorthy, Anand Rangarajan
2009	—	`conf`	A Schrödinger Wave Equation Approach to the Eikonal Equation: Application to Image Analysis. EMMCVPR Anand Rangarajan, Karthik S. Gurumoorthy
2009	A*	`conf`	An algebraic approach to affine registration of point sets. ICCV Jeffrey Ho, Adrian M. Peter, Anand Rangarajan, Ming-Hsuan Yang
2009	—	`conf`	Closed-Form Jensen-Renyi Divergence for Mixture of Gaussians and Applications to Group-Wise Shape Registration. MICCAI (1) Fei Wang, Tanveer Fathima Syeda-Mahmood, Baba C. Vemuri, David Beymer, Anand Rangarajan
2009	—	`conf`	Image Filtering Driven by Level Curves. EMMCVPR Ajit Rajwade, Arunava Banerjee, Anand Rangarajan
2009	J	`jnl`	Information Geometry for Landmark Shape Analysis: Unifying Shape Representation and Deformation. IEEE Trans. Pattern Anal. Mach. Intell. Adrian M. Peter, Anand Rangarajan
2009	J	`jnl`	Probability Density Estimation Using Isocontours and Isosurfaces: Applications to Information-Theoretic Image Registration. IEEE Trans. Pattern Anal. Mach. Intell. Ajit Rajwade, Arunava Banerjee, Anand Rangarajan
2008	B	`conf`	Beyond SVD: Sparse projections onto exemplar orthonormal bases for compact image representation. ICPR Karthik S. Gurumoorthy, Ajit Rajwade, Arunava Banerjee, Anand Rangarajan
2008	J	`jnl`	Maximum Likelihood Wavelet Density Estimation With Applications to Image and Shape Matching. IEEE Trans. Image Process. Adrian M. Peter, Anand Rangarajan
2008	A*	`conf`	Shape L'Âne rouge: Sliding wavelets for indexing and retrieval. CVPR Adrian M. Peter, Anand Rangarajan, Jeffrey Ho
2008	J	`jnl`	Simultaneous Nonrigid Registration of Multiple Point Sets and Atlas Construction. IEEE Trans. Pattern Anal. Mach. Intell. Fei Wang, Baba C. Vemuri, Anand Rangarajan, Stephan J. Eisenschenk
2007	A	`conf`	A New Affine Registration Algorithm for Matching 2D Point Sets. WACV Jeffrey Ho, Ming-Hsuan Yang, Anand Rangarajan, Baba C. Vemuri
2007	—	`conf`	Deformable Density Matching for 3D Non-rigid Registration of Shapes. MICCAI (1) Arunabha S. Roy, Ajay Gopinath, Anand Rangarajan
2007	J	`jnl`	Kernel Fisher discriminant for shape-based classification in epilepsy. Medical Image Anal. Santhosh Kodipaka, Baba C. Vemuri, Anand Rangarajan, Christiana Morison Leonard, I. Schmallfuss, Stephan J. Eisenschenk
2007	—	`conf`	Pet Image Reconstruction Using Anatomical Information Through Mutual Information Based Priors: A Scale Space Approach. ISBI Sangeetha Somayajula, Anand Rangarajan, Richard M. Leahy
2006	—	`conf`	A New Closed-Form Information Metric for Shape Analysis. MICCAI (1) Adrian M. Peter, Anand Rangarajan
2006	—	`conf`	Continuous image representations avoid the histogram binning problem in mutual information based image registration. ISBI Ajit Rajwade, Arunava Banerjee, Anand Rangarajan
2006	—	`ch.`	Diffeomorphic Point Matching. Handbook of Mathematical Models in Computer Vision H. Guo, Anand Rangarajan, Shantanu H. Joshi
2006	—	`conf`	Groupwise point pattern registration using a novel CDF-based Jensen-Shannon Divergence. CVPR (1) Fei Wang, Baba C. Vemuri, Anand Rangarajan
2006	—	`conf`	New Method of Probability Density Estimation with Application to Mutual Information Based Image Registration. CVPR (2) Ajit Rajwade, Arunava Banerjee, Anand Rangarajan
2006	—	`conf`	Shape analysis using the Fisher-Rao Riemannian metric: unifying shape representation and deformation. ISBI Adrian M. Peter, Anand Rangarajan
2006	—	`conf`	Simultaneous Nonrigid Registration of Multiple Point Sets and Atlas Construction. ECCV (3) Fei Wang, Baba C. Vemuri, Anand Rangarajan, Ilona M. Schmalfuss, Stephan J. Eisenschenk
2005	—	`conf`	3-D Diffeomorphic Shape Registration on Hippocampal Data Sets. MICCAI (2) Hongyu Guo, Anand Rangarajan, Sarang C. Joshi
2005	—	`ed.`	Energy Minimization Methods in Computer Vision and Pattern Recognition, 5th International Workshop, EMMCVPR 2005, St. Augustine, FL, USA, November 9-11, 2005, Proceedings EMMCVPR Anand Rangarajan, Baba C. Vemuri, Alan L. Yuille
2005	—	`conf`	Multimodality Image Registration Using an Extensible Information Metric and High Dimensional Histogramming. IPMI Jie Zhang, Anand Rangarajan
2004	—	`conf`	A New Joint Clustering and Diffeomorphism Estimation Algorithm for Non-Rigid Shape Matching. CVPR Workshops Hongyu Guo, Anand Rangarajan, Sarang C. Joshi, Laurent Younes
2004	—	`conf`	A New, Fast, Relaxation-Free, Convergent, Hessian-based, Ordered-Subsets Algorithm for Emission Tomography. ISBI Ing-Tsung Hsiao, Anand Rangarajan, Parmeshwar Khurd, Gene Gindi
2004	—	`conf`	A Unified Feature-Based Registration Method for Multimodality Images. ISBI Jie Zhang, Anand Rangarajan
2004	—	`conf`	Affine Image Registration Using a New Information Metric. CVPR (1) Jie Zhang, Anand Rangarajan
2004	B	`conf`	Non rigid registration of shapes via diffeomorphic point matching and clustering. ICIP Laurent Garcin, Anand Rangarajan, Laurent Younes
2004	—	`conf`	Non-Rigid Registration of Shapes Via Diffeomorphic Point Matching. ISBI Hongyu Guo, Anand Rangarajan, Sarang C. Joshi, Laurent Younes
2004	J	`jnl`	Unsupervised Learning of an Atlas from Unlabeled Point-Sets. IEEE Trans. Pattern Anal. Mach. Intell. Haili Chui, Anand Rangarajan, Jie Zhang, Christiana Morison Leonard
2003	A*	`conf`	A Bayesian Network Framework for Relational Shape Matching. ICCV Anand Rangarajan, James M. Coughlan, Alan L. Yuille
2003	J	`jnl`	A New Convex Edge-Preserving Median Prior with Applications to Tomography. IEEE Trans. Medical Imaging Ing-Tsung Hsiao, Anand Rangarajan, Gene Gindi
2003	J	`jnl`	A new point matching algorithm for non-rigid registration. Comput. Vis. Image Underst. Haili Chui, Anand Rangarajan
2003	J	`jnl`	A unified non-rigid feature registration method for brain mapping. Medical Image Anal. Haili Chui, Lawrence Win, Robert T. Schultz, James S. Duncan, Anand Rangarajan
2003	—	`conf`	Bayesian Multimodality Non-rigid Image Registration via Conditional Density Estimation. IPMI Jie Zhang, Anand Rangarajan
2003	J	`jnl`	Bayesian image reconstruction for transmission tomography using deterministic annealing. J. Electronic Imaging Ing-Tsung Hsiao, Anand Rangarajan, Gene Gindi
2003	—	`ed.`	Energy Minimization Methods in Computer Vision and Pattern Recognition, 4th International Workshop, EMMCVPR 2003, Lisbon, Portugal, July 7-9, 2003, Proceedings EMMCVPR Anand Rangarajan, Mário A. T. Figueiredo, Josiane Zerubia
2003	J	`jnl`	Entropy-Based, Dual-Portal-to-3DCT Registration Incorporating Pixel Correlation. IEEE Trans. Medical Imaging Ravi Bansal, Lawrence H. Staib, Zhe Chen, Anand Rangarajan, Jonathan Knisely, Ravinder Nath, James S. Duncan
2003	J	`jnl`	The Concave-Convex Procedure. Neural Comput. Alan L. Yuille, Anand Rangarajan
2002	—	`conf`	A new convergent MAP reconstruction algorithm for emission tomography using ordered subsets and separable surrogates. ISBI Ing-Tsung Hsiao, Anand Rangarajan, Gene Gindi
2002	J	`jnl`	Joint-MAP Bayesian tomographic reconstruction with a gamma-mixture prior. IEEE Trans. Image Process. Ing-Tsung Hsiao, Anand Rangarajan, Gene Gindi
2002	—	`conf`	Kernel Fisher for Shape Based Classification in Epilepsy. MICCAI (2) N. Vohra, Baba C. Vemuri, Anand Rangarajan, Robin L. Gilmore, S. N. Roper, Christiana Morison Leonard
2002	B	`conf`	Provably convergent OSEM-like reconstruction algorithm for emission tomography. Image Processing Ing-Tsung Hsiao, Anand Rangarajan, Gene R. Gindi
2001	—	`conf`	A Relationship between Spline-Based Deformable Models and Weighted Graphs in Non-Rigid Matching. CVPR (1) Anand Rangarajan, Haili Chui, Eric Mjolsness
2001	—	`conf`	A Unified Feature Registration Method for Brain Mapping. IPMI Haili Chui, Lawrence Win, Robert T. Schultz, James S. Duncan, Anand Rangarajan
2001	B	`conf`	Bayesian image reconstruction for transmission tomography using mixture model priors and deterministic annealing algorithms. Image Processing Ing-Tsung Hsiao, Anand Rangarajan, Gene R. Gindi
2001	—	`conf`	Learning Matrix Space Image Representations. EMMCVPR Anand Rangarajan
2001	—	`conf`	MIME: Mutual Information Minimization and Entropy Maximization for Bayesian Belief Propagation. NIPS Anand Rangarajan, Alan L. Yuille
2001	—	`conf`	The Concave-Convex Procedure (CCCP). NIPS Alan L. Yuille, Anand Rangarajan
2000	J	`jnl`	A Bayesian Joint Mixture Framework for the Integration of Anatomical Information in Functional Image Reconstruction. J. Math. Imaging Vis. Anand Rangarajan, Ing-Tsung Hsiao, Gene Gindi
2000	A*	`conf`	A New Algorithm for Non-Rigid Point Matching. CVPR Haili Chui, Anand Rangarajan
2000	—	`conf`	A New Deterministic Annealing Algorithm for Maximum Clique. IJCNN (6) Arun Jagota, Marcello Pelillo, Anand Rangarajan
2000	—	`conf`	Applications of Optimizing Neural Networks in Medical Image Registration. ANNIMAB Anand Rangarajan, Haili Chui
2000	J	`jnl`	Self-annealing and self-annihilation: unifying deterministic annealing and relaxation labeling. Pattern Recognit. Anand Rangarajan
1999	—	`conf`	A New Distance Measure for Non-rigid Image Matching. EMMCVPR Anand Rangarajan, Haili Chui, Eric Mjolsness
1999	—	`conf`	A mixed variable optimization approach to non-rigid image registration. Discrete Mathematical Problems with Medical Applications Anand Rangarajan, Haili Chui
1999	J	`jnl`	Convergence Properties of the Softassign Quadratic Assignment Algorithm. Neural Comput. Anand Rangarajan, Alan L. Yuille, Eric Mjolsness
1999	A	`conf`	Entropy-Based, MICCAI Ravi Bansal, Lawrence H. Staib, Zhe Chen, Anand Rangarajan, Jonathan Knisely, Ravinder Nath, James S. Duncan
1999	—	`conf`	Registration of Cortical Anatomical Structures via Robust 3D Point Matching. IPMI Haili Chui, James Rambo, James S. Duncan, Robert T. Schultz, Anand Rangarajan
1999	J	`jnl`	Rigid point feature registration using mutual information. Medical Image Anal. Anand Rangarajan, Haili Chui, James S. Duncan
1998	A	`conf`	A Novel Approach for the Registration of 2D Portal and 3D CT Images for Treatment Setup Verification in Radiotherapy. MICCAI Ravi Bansal, Lawrence H. Staib, Zhe Chen, Anand Rangarajan, Jonathan Knisely, Ravinder Nath, James S. Duncan
1998	J	`jnl`	New algorithms for 2D and 3D point matching: pose estimation and correspondence. Pattern Recognit. Steven Gold, Anand Rangarajan, Chien-Ping Lu, Suguna Pappu, Eric Mjolsness
1997	J	`jnl`	A robust point-matching algorithm for autoradiograph alignment. Medical Image Anal. Anand Rangarajan, Haili Chui, Eric Mjolsness, Suguna Pappu, Lila Davachi, Patricia S. Goldman-Rakic, James S. Duncan
1997	—	`conf`	New Methods for SPECT Imaging and Pre-reconstruction Restoration. IPMI Yi-Hwa Liu, Anand Rangarajan, Daniel Gagnon, Michel Therrien, Albert J. Sinusas, Frans J. Th. Wackers, I. George Zubal
1997	—	`conf`	Self Annealing: Unifying Deterministic Annealing and Relaxation Labelling. EMMCVPR Anand Rangarajan
1997	—	`conf`	The Softassign Procrustes Matching Algorithm. IPMI Anand Rangarajan, Haili Chui, Fred L. Bookstein
1996	—	`conf`	A Convergence Proof for the Softassign Quadratic Assignment Algorithm. NIPS Anand Rangarajan, Alan L. Yuille, Steven Gold, Eric Mjolsness
1996	J	`jnl`	A Graduated Assignment Algorithm for Graph Matching. IEEE Trans. Pattern Anal. Mach. Intell. Steven Gold, Anand Rangarajan
1996	J	`jnl`	A Lagrangian relaxation network for graph matching. IEEE Trans. Neural Networks Anand Rangarajan, Eric Mjolsness
1996	J	`jnl`	A Novel Optimizing Network Architecture with Applications. Neural Comput. Anand Rangarajan, Steven Gold, Eric Mjolsness
1996	—	`conf`	A Robust Point Matching Algorithm for Autoradiograph Alignment. VBC Anand Rangarajan, Eric Mjolsness, Suguna Pappu, Lila Davachi, Patricia S. Goldman-Rakic, James S. Duncan
1996	—	`conf`	Graduated assignment graph matching. ICNN Steven Gold, Anand Rangarajan
1996	A*	`conf`	Graph matching by graduated assignment. CVPR Steven Gold, Anand Rangarajan
1996	J	`jnl`	Learning with Preknowledge: Clustering with Point and Graph Matching Distance Measures. Neural Comput. Steven Gold, Anand Rangarajan, Eric Mjolsness
1996	J	`jnl`	On the unification of line processes, outlier rejection, and robust statistics with applications in early vision. Int. J. Comput. Vis. Michael J. Black, Anand Rangarajan
1995	—	`conf`	A Framework for Non-rigid Matching and Correspondence. NIPS Suguna Pappu, Steven Gold, Anand Rangarajan
1995	A*	`conf`	A Geometric Criterion for Shape-Based Non-Rigid Correspondence. ICCV Hemant D. Tagare, Donal O'Shea, Anand Rangarajan
1995	J	`jnl`	Bayesian image reconstruction in SPECT using higher order mechanical models as priors. IEEE Trans. Medical Imaging Soo-Jin Lee, Anand Rangarajan, Gene Gindi
1995	—	`conf`	Softassign versus Softmax: Benchmarks in Combinatorial Optimization. NIPS Steven Gold, Anand Rangarajan
1994	—	`conf`	Learning with Preknowledge: Clustering with Point and Graph Matching Distance Measures. NIPS Steven Gold, Anand Rangarajan, Eric Mjolsness
1994	—	`conf`	New Algorithms for 2D and 3D Point Matching: Pose Estimation and Correspondence. NIPS Steven Gold, Chien-Ping Lu, Anand Rangarajan, Suguna Pappu, Eric Mjolsness
1994	A*	`conf`	The outlier process: unifying line processes and robust statistics. CVPR Michael J. Black, Anand Rangarajan
1993	—	`conf`	Bayesian Reconstruction for Emissiom Tomography via Deterministic Annealing. IPMI Gene Gindi, Anand Rangarajan, M. Lee, P. J. Hong, I. George Zubal
1993	J	`jnl`	Bayesian reconstruction of functional images using anatomical information as priors. IEEE Trans. Medical Imaging Gene Gindi, Mindy MinHae Lee, Anand Rangarajan, I. George Zubal
1993	—	`conf`	Clustering with a Domain-Specific Distance Measure. NIPS Steven Gold, Eric Mjolsness, Anand Rangarajan
1991	—	`conf`	Bayesian Reconstruction of Functional Images Using Registered Anatomical Images as Priors. IPMI Gene Gindi, M. Lee, Anand Rangarajan, I. George Zubal
1991	Misc	`conf`	Image estimation and segmentation using a continuation method. ICASSP Anand Rangarajan, Rama Chellappa
1991	J	`jnl`	Visual Reconstruction (Andrew Blake and Andrew Zisserman). SIAM Rev. Anand Rangarajan
1990	—	`conf`	Generalized graduated nonconvexity algorithm for maximum a posteriori image estimation. ICPR (2) Anand Rangarajan, Rama Chellappa