Volodymyr V. Kindratenko

According to our database, Volodymyr V. Kindratenko authored at least 84 papers between 1995 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

AIDOVECL: AI-generated Dataset of Outpainted Vehicles for Eye-level Classification and Localization.

Amir Kazemi, Qurat ul ain Fatima, Volodymyr V. Kindratenko, Christopher Tessum

CoRR, 2024

Training Next Generation AI Users and Developers at NCSA.

Daniel S. Katz, Volodymyr V. Kindratenko, Olena Kindratenko, Priyam Mazumdar

CoRR, 2024

Secure Federated Learning Across Heterogeneous Cloud and High-Performance Computing Resources - A Case Study on Federated Fine-tuning of LLaMA 2.

Zilinghan Li, Shilan He, Pranshu Chaturvedi, Volodymyr V. Kindratenko, Eliu A. Huerta, Kibaek Kim, Ravi K. Madduri

CoRR, 2024

FedCompass: Efficient Cross-Silo Federated Learning on Heterogeneous Client Devices Using a Computing Power-Aware Scheduler.

Zilinghan Li, Pranshu Chaturvedi, Shilan He, Han Chen, Gagandeep Singh, Volodymyr V. Kindratenko, Eliu A. Huerta, Kibaek Kim, Ravi K. Madduri

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Automated Data Management and Learning-Based Scheduling for Ray-Based Hybrid HPC-Cloud Systems.

Tingkai Liu, Huili Tao, Yicheng Lu, Zhongbo Zhu, Marquita Ellis, Sara Kokkila Schumacher, Volodymyr V. Kindratenko

Proceedings of the Euro-Par 2024: Parallel Processing, 2024

OS4C: An Open-Source SR-IOV System for SmartNIC-Based Cloud Platforms.

Scott Smith, Yuan Ma, Marissa Lanz, Bill Dai, Martin Ohmacht, Bharat Sukhwani, Hubertus Franke, Volodymyr V. Kindratenko, Deming Chen

Proceedings of the 17th IEEE International Conference on Cloud Computing, 2024

UniNet: Accelerating the Container Network Data Plane in IaaS Clouds.

Yuan Ma, Scott Smith, Bill Gropp, Hubertus Franke, Bharat Sukhwani, Sameh W. Asaad, Jinjun Xiong, Volodymyr V. Kindratenko, Deming Chen

Proceedings of the 17th IEEE International Conference on Cloud Computing, 2024

2023

FAIR AI models in high energy physics.

Javier M. Duarte, Haoyang Li, Avik Roy, Ruike Zhu, Eliu A. Huerta, Daniel Diaz, Philip C. Harris, Raghav Kansal, Daniel S. Katz, Ishaan H. Kavoori, Volodymyr V. Kindratenko, Farouk Mokhtar, Mark S. Neubauer, Sang Eon Park, Melissa Quinnan, Roger Rusack, Zhizhen Zhao

Mach. Learn. Sci. Technol., December, 2023

Character Face in Video.

Zilinghan Li, Xiwei Wang, Zhenning Zhang, Volodymyr V. Kindratenko

Dataset, January, 2023

Critical Minerals Map Feature Extraction Using Deep Learning.

Shirui Luo, Aaron Saxton, Albert Bode, Priyam Mazumdar, Volodymyr V. Kindratenko

IEEE Geosci. Remote. Sens. Lett., 2023

Training Next-Generation Artificial Intelligence Users and Developers at NCSA.

Daniel S. Katz, Volodymyr V. Kindratenko, Olena Kindratenko, Priyam Mazumdar

Comput. Sci. Eng., 2023

Leveraging Large Language Models to Build and Execute Computational Workflows.

Alejandro Duque, Abdullah Syed, Kastan V. Day, Matthew J. Berry, Daniel S. Katz, Volodymyr V. Kindratenko

CoRR, 2023

Self-Supervised Masked Digital Elevation Models Encoding for Low-Resource Downstream Tasks.

Priyam Mazumdar, Aiman Soliman, Volodymyr V. Kindratenko, Luigi Marini, Kenton McHenry

CoRR, 2023

Sequence Generation via Subsequence Similarity: Theory and Application to UAV Identification.

Amir Kazemi, Salar Basiri, Volodymyr V. Kindratenko, Srinivasa M. Salapaka

CoRR, 2023

Cloud-Bursting and Autoscaling for Python-Native Scientific Workflows Using Ray.

Tingkai Liu, Marquita Ellis, Carlos H. A. Costa, Claudia Misale, Sara Kokkila Schumacher, Jinwook Jung, Gi-Joon Nam, Volodymyr V. Kindratenko

Proceedings of the High Performance Computing, 2023

Novel Approaches Toward Scalable Composable Workflows in Hyper-Heterogeneous Computing Environments.

Jonathan Bader, Jim Belak, Matthew T. Bement, Matthew Berry, Robert Carson, Daniela Cassol, Stephen Chan, John Coleman, Kastan Day, Alejandro Duque, Kjiersten Fagnan, Jeff Froula, Shantenu Jha, Daniel S. Katz, Piotr Kica, Volodymyr V. Kindratenko, Edward Kirton, Ramani Kothadia, Daniel E. Laney, Fabian Lehmann, Ulf Leser, Sabina Licholai, Maciej Malawski, Mario Melara, Elais Player Jackson, Matthew Rolchigo, Setareh Sarrafan, Seung-Jin Sul, Abdullah Syed, Lauritz Thamsen, Mikhail Titov, Matteo Turilli, Silvina Caíno-Lores, Anirban Mandal

Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, 2023

YouTubePD: A Multimodal Benchmark for Parkinson's Disease Analysis.

Andy Zhou, Samuel Li, Pranav Sriram, Xiang Li, Jiahua Dong, Ansh Sharma, Yuanyi Zhong, Shirui Luo, Volodymyr V. Kindratenko, George Heintz, Christopher Zallek, Yu-Xiong Wang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

APPFLx: Providing Privacy-Preserving Cross-Silo Federated Learning as a Service.

Zilinghan Li, Shilan He, Pranshu Chaturvedi, Trung-Hieu Hoang, Minseok Ryu, Eliu A. Huerta, Volodymyr V. Kindratenko, Jordan D. Fuhrman, Maryellen L. Giger, Ryan Chard, Kibaek Kim, Ravi K. Madduri

Proceedings of the 19th IEEE International Conference on e-Science, 2023

2022

DEM_building_Illinois.

Yifan Chen, Aiman Soliman, Volodymyr V. Kindratenko, Shirui Luo, Rauf Makharov

Dataset, March, 2022

Exploring HW/SW Co-Design for Video Analysis on CPU-FPGA Heterogeneous Systems.

Xiaofan Zhang, Yuan Ma, Jinjun Xiong, Wen-Mei W. Hwu, Volodymyr V. Kindratenko, Deming Chen

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022

Weakly Supervised Segmentation of Buildings in Digital Elevation Models.

Aiman Soliman, Yifan Chen, Shirui Luo, Rauf Makharov, Volodymyr V. Kindratenko

IEEE Geosci. Remote. Sens. Lett., 2022

FAIR for AI: An interdisciplinary, international, inclusive, and diverse community building perspective.

Eliu A. Huerta, Ben Blaiszik, L. Catherine Brinson, Kristofer E. Bouchard, Daniel Diaz, Caterina Doglioni, Javier M. Duarte, Murali Emani, Ian T. Foster, Geoffrey C. Fox, Philip C. Harris, Lukas Heinrich, Shantenu Jha, Daniel S. Katz, Volodymyr V. Kindratenko, Christine R. Kirkpatrick, Kati Lassila-Perini, Ravi K. Madduri, Mark S. Neubauer, Fotis E. Psomopoulos, Avik Roy, Oliver Rübel, Zhizhen Zhao, Ruike Zhu

CoRR, 2022

Weakly Supervised Two-Stage Training Scheme for Deep Video Fight Detection Model.

Zhenting Qi, Ruike Zhu, Zheyu Fu, Wenhao Chai, Volodymyr V. Kindratenko

Proceedings of the 34th IEEE International Conference on Tools with Artificial Intelligence, 2022

Sparse Spatio-Temporal Neural Network for Large-Scale Forecasting.

Eamon Bracht, Volodymyr V. Kindratenko, Robert J. Brunner

Proceedings of the IEEE International Conference on Big Data, 2022

2021

FPGAs in the Cloud.

Miriam Leeser, Suranga Handagala, Michael Zink, Volodymyr V. Kindratenko, Anne C. Elster

Comput. Sci. Eng., 2021

Accelerating Scientific Applications With SambaNova Reconfigurable Dataflow Architecture.

Murali Emani, Venkatram Vishwanath, Corey Adams, Michael E. Papka, Rick Stevens, Laura Florescu, Sumti Jairath, William Liu, Tejas Nama, Arvind Sujeeth, Volodymyr V. Kindratenko, Anne C. Elster

Comput. Sci. Eng., 2021

The European Factor: From ARM to Atos.

Anne C. Elster, Volodymyr V. Kindratenko

Comput. Sci. Eng., 2021

AGNet: Weighing Black Holes with Deep Learning.

Joshua Yao-Yu Lin, Sneh Pandya, Devanshi Pratap, Xin Liu, Matias Carrasco Kind, Volodymyr V. Kindratenko

CoRR, 2021

A FAIR and AI-ready Higgs Boson Decay Dataset.

Yifan Chen, Eliu A. Huerta, Javier M. Duarte, Philip C. Harris, Daniel S. Katz, Mark S. Neubauer, Daniel Diaz, Farouk Mokhtar, Raghav Kansal, Sang Eon Park, Volodymyr V. Kindratenko, Zhizhen Zhao, Roger Rusack

CoRR, 2021

Turbomachinery Blade Surrogate Modeling Using Deep Learning.

Shirui Luo, Jiahuan Cui, Vignesh Sella, Jian Liu, Seid Koric, Volodymyr V. Kindratenko

Proceedings of the High Performance Computing - ISC High Performance Digital 2021 International Workshops, Frankfurt am Main, Germany, June 24, 2021

Efficient HW and SW Interface Design for Convolutional Neural Networks Using High-Level Synthesis and TensorFlow.

Ashish Misra, Churan He, Volodymyr V. Kindratenko

Proceedings of the IEEE/ACM International Workshop on Heterogeneous High-performance Reconfigurable Computing, 2021

2020

Convergence of artificial intelligence and high performance computing on NSF-supported cyberinfrastructure.

Eliu A. Huerta, Asad Khan, Edward Davis, Colleen Bushell, William D. Gropp, Daniel S. Katz, Volodymyr V. Kindratenko, Seid Koric, William T. C. Kramer, Brendan McGinty, Kenton McHenry, Aaron Saxton

J. Big Data, 2020

High-Level Synthesis-Based Approach for Accelerating Scientific Codes on FPGAs.

Ramshankar Venkatakrishnan, Ashish Misra, Volodymyr V. Kindratenko, Anne C. Elster

Comput. Sci. Eng., 2020

Hands-on with IBM Visual Insights.

Shirui Luo, Volodymyr V. Kindratenko

Comput. Sci. Eng., 2020

Confluence of Artificial Intelligence and High Performance Computing for Accelerated, Scalable and Reproducible Gravitational Wave Detection.

Eliu A. Huerta, Asad Khan, Xiaobo Huang, Minyang Tian, Maksim Levental, Ryan Chard, Wei Wei, Maeve Heflin, Daniel S. Katz, Volodymyr V. Kindratenko, Dawei Mu, Ben Blaiszik, Ian T. Foster

CoRR, 2020

NCSA Internship Program for Cyberinfrastructure Professionals.

Daniel Lapine, Volodymyr V. Kindratenko, Luisa-Maria Rosu

Proceedings of the PEARC '20: Practice and Experience in Advanced Research Computing, 2020

HAL: Computer System for Scalable Deep Learning.

Volodymyr V. Kindratenko, Dawei Mu, Yan Zhan, John Maloney, Sayed Hadi Hashemi, Benjamin Rabe, Ke Xu, Roy H. Campbell, Jian Peng, William Gropp

Proceedings of the PEARC '20: Practice and Experience in Advanced Research Computing, 2020

Parameter Identification of RANS Turbulence Model Using Physics-Embedded Neural Network.

Shirui Luo, Madhu Vellakal, Seid Koric, Volodymyr V. Kindratenko, Jiahuan Cui

Proceedings of the High Performance Computing, 2020

HLS-Based Acceleration Framework for Deep Convolutional Neural Networks.

Ashish Misra, Volodymyr V. Kindratenko

Proceedings of the Applied Reconfigurable Computing. Architectures, Tools, and Applications, 2020

2019

Enabling real-time multi-messenger astrophysics discoveries with deep learning.

Eliu A. Huerta, Gabrielle Allen, Igor Andreoni, Javier Mauricio Antelis, Etienne Bachelet, G. Bruce Berriman, Federica B. Bianco, Rahul Biswas, Matias Carrasco Kind, Kyle Chard, Minsik Cho, Philip S. Cowperthwaite, Zachariah B. Etienne, Maya Fishbach, Francisco Förster, Daniel George, Tom Gibbs, Matthew J. Graham, William Gropp, Robert A. Gruendl, Anushri Gupta, Roland Haas, Sarah Habib, Elise Jennings, Margaret W. G. Johnson, Erik Katsavounidis, Daniel S. Katz, Asad Khan, Volodymyr V. Kindratenko, William T. C. Kramer, Xin Liu, Ashish Mahabal, Zsuzsa Márka, Kenton McHenry, Jonah Miller, Claudia Moreno, Mark S. Neubauer, Steve Oberlin, Alexander R. Olivas, Donald Petravick, Adam Rebei, Shawn Rosofsky, Milton Ruiz, Aaron Saxton, Bernard F. Schutz, Alexander G. Schwing, Ed Seidel, Stuart L. Shapiro, Hongyu Shen, Yue Shen, Leo Singer, Brigitta M. Sipocz, Lunan Sun, John Towns, Antonios Tsokaros, Wei Wei, Jack Wells, Timothy J. Williams, Jinjun Xiong, Zhizhen Zhao

CoRR, 2019

Deep Learning for Multi-Messenger Astrophysics: A Gateway for Discovery in the Big Data Era.

Gabrielle Allen, Igor Andreoni, Etienne Bachelet, G. Bruce Berriman, Federica B. Bianco, Rahul Biswas, Matias Carrasco Kind, Kyle Chard, Minsik Cho, Philip S. Cowperthwaite, Zachariah B. Etienne, Daniel George, Tom Gibbs, Matthew J. Graham, William Gropp, Anushri Gupta, Roland Haas, Eliu A. Huerta, Elise Jennings, Daniel S. Katz, Asad Khan, Volodymyr V. Kindratenko, William T. C. Kramer, Xin Liu, Ashish Mahabal, Kenton McHenry, J. M. Miller, Mark S. Neubauer, Steve Oberlin, Alexander Reinefeld, Shawn Rosofsky, Milton Ruiz, Aaron Saxton, Bernard F. Schutz, Alexander G. Schwing, Ed Seidel, Stuart L. Shapiro, Hongyu Shen, Yue Shen, Brigitta Miksztai-Réthey, Lunan Sun, John Towns, Antonios Tsokaros, Wei Wei, Jack Wells, Timothy J. Williams, Jinjun Xiong, Zhizhen Zhao

CoRR, 2019

tensorflow-tracing: A Performance Tuning Framework for Production.

Sayed Hadi Hashemi, Paul Rausch, Benjamin Rabe, Kuan-Yen Chou, Simeng Liu, Volodymyr V. Kindratenko, Roy H. Campbell

Proceedings of the 2019 USENIX Conference on Operational Machine Learning, 2019

2012

Fine-grain parallelism using multi-core, Cell/BE, and GPU Systems.

Frederico Pratas, Pedro Trancoso, Leonel Sousa, Alexandros Stamatakis, Guochun Shi, Volodymyr V. Kindratenko

Parallel Comput., 2012

Application accelerators in HPC - Editorial introduction.

Volodymyr V. Kindratenko, Gregory D. Peterson

Parallel Comput., 2012

Scientific Computing with GPUs.

Volodymyr V. Kindratenko

Comput. Sci. Eng., 2012

2011

Guest Editor's Introduction: Special Issue on High-Performance Computing with Accelerators.

David A. Bader, David R. Kaeli, Volodymyr V. Kindratenko

IEEE Trans. Parallel Distributed Syst., 2011

Trends in High-Performance Computing.

Volodymyr V. Kindratenko, Pedro Trancoso

Comput. Sci. Eng., 2011

Design of MILC Lattice QCD Application for GPU Clusters.

Guochun Shi, Steven A. Gottlieb, Aaron Torok, Volodymyr V. Kindratenko

Proceedings of the 25th IEEE International Symposium on Parallel and Distributed Processing, 2011

GPU acceleration of an image characterization algorithm for document similarity analysis.

Guochun Shi, Volodymyr V. Kindratenko, Rob Kooper, Peter Bajcsy

Proceedings of the 9th IEEE/ACS International Conference on Computer Systems and Applications, 2011

2010

Application Acceleration with the Cell Broadband Engine.

Guochun Shi, Volodymyr V. Kindratenko, Frederico Pratas, Pedro Trancoso, Michael Gschwind

Comput. Sci. Eng., 2010

High-Performance Computing with Accelerators.

Volodymyr V. Kindratenko, Robert B. Wilhelmson, Robert J. Brunner, Todd J. Martínez, Wen-mei W. Hwu

Comput. Sci. Eng., 2010

Direct self-consistent field computations on GPU clusters.

Guochun Shi, Volodymyr V. Kindratenko, Ivan S. Ufimtsev, Todd J. Martínez

Proceedings of the 24th IEEE International Symposium on Parallel and Distributed Processing, 2010

Quantifying the impact of GPUs on performance and energy efficiency in HPC clusters.

Jeremy Enos, Craig P. Steffen, Joshi Fullop, Michael T. Showerman, Guochun Shi, Kenneth Esler, Volodymyr V. Kindratenko, John E. Stone, James C. Phillips

Proceedings of the International Green Computing Conference 2010, 2010

2009

Implementation of scientific computing applications on the Cell Broadband Engine.

Guochun Shi, Volodymyr V. Kindratenko, Ivan S. Ufimtsev, Todd J. Martínez, James C. Phillips, Steven A. Gottlieb

Sci. Program., 2009

Implementation of the two-point angular correlation function on a high-performance reconfigurable computer.

Volodymyr V. Kindratenko, Adam D. Myers, Robert J. Brunner

Sci. Program., 2009

The Bottom-Up Implementation of One MILC Lattice QCD Application on the Cell Blade.

Guochun Shi, Volodymyr V. Kindratenko, Steven A. Gottlieb

Int. J. Parallel Program., 2009

Novel Computing Architectures.

Volodymyr V. Kindratenko

Comput. Sci. Eng., 2009

Phoenix: A Runtime Environment for High Performance Computing on Chip Multiprocessors.

Avneesh Pant, Hassan Jafri, Volodymyr V. Kindratenko

Proceedings of the 17th Euromicro International Conference on Parallel, 2009

SoundMaker: a Web-Based Teaching Tool for Sound Design.

Ryan Cavis, Sever Tipei, Volodymyr V. Kindratenko

Proceedings of the 2009 International Computer Music Conference, 2009

Accelerating Cosmological Data Analysis with FPGAs.

Volodymyr V. Kindratenko, Robert J. Brunner

Proceedings of the FCCM 2009, 2009

GPU clusters for high-performance computing.

Volodymyr V. Kindratenko, Jeremy Enos, Guochun Shi, Michael T. Showerman, Galen Wesley Arnold, John E. Stone, James C. Phillips, Wen-mei W. Hwu

Proceedings of the 2009 IEEE International Conference on Cluster Computing, August 31, 2009

Accelerating cosmological data analysis with graphics processors.

Dylan W. Roeh, Volodymyr V. Kindratenko, Robert J. Brunner

Proceedings of 2nd Workshop on General Purpose Processing on Graphics Processing Units, 2009

2008

Reconfigurable Systems Summer Institute 2007.

Volodymyr V. Kindratenko, Duncan A. Buell

Parallel Comput., 2008

High-Performance Computing Applications on Novel Architectures.

Volodymyr V. Kindratenko, George K. Thiruvathukal, Steven A. Gottlieb

Comput. Sci. Eng., 2008

The Promise of High-Performance Reconfigurable Computing.

Tarek A. El-Ghazawi, Esam El-Araby, Miaoqing Huang, Kris Gaj, Volodymyr V. Kindratenko, Duncan A. Buell

Computer, 2008

Implementation of NAMD molecular dynamics non-bonded force-field on the cell broadband engine processor.

Guochun Shi, Volodymyr V. Kindratenko

Proceedings of the 22nd IEEE International Symposium on Parallel and Distributed Processing, 2008

2007

Accelerating Scientific Applications with Reconfigurable Computing: Getting Started.

Volodymyr V. Kindratenko, Craig P. Steffen, Robert J. Brunner

Comput. Sci. Eng., 2007

Guest Editors' Introduction: High-Performance Reconfigurable Computing.

Duncan A. Buell, Tarek A. El-Ghazawi, Kris Gaj, Volodymyr V. Kindratenko

Computer, 2007

Mitrion-C Application Development on SGI Altix 350/RC100.

Volodymyr V. Kindratenko, Robert J. Brunner, Adam D. Myers

Proceedings of the IEEE Symposium on Field-Programmable Custom Computing Machines, 2007

2006

Reconfigurable supercomputing - Is high-performance reconfigurable computing the next supercomputing paradigm?

Tarek A. El-Ghazawi, Dave Bennett, Daniel S. Poznanovic, Allan Cantle, Keith D. Underwood, Rob Pennington, Duncan A. Buell, Alan D. George, Volodymyr V. Kindratenko

Proceedings of the ACM/IEEE SC2006 Conference on High Performance Networking and Computing, 2006

M03 - Reconfigurable supercomputing.

Tarek A. El-Ghazawi, Duncan A. Buell, Volodymyr V. Kindratenko, Kris Gaj

Proceedings of the ACM/IEEE SC2006 Conference on High Performance Networking and Computing, 2006

A case study in porting a production scientific supercomputing application to a reconfigurable computer.

Volodymyr V. Kindratenko, David Pointer

Proceedings of the 14th IEEE Symposium on Field-Programmable Custom Computing Machines (FCCM 2006), 2006

Code Partitioning for Reconfigurable High-Performance Computing: A Case Study.

Volodymyr V. Kindratenko

Proceedings of the 2006 International Conference on Engineering of Reconfigurable Systems & Algorithms, 2006

2005

Neural network-based calibration of electromagnetic tracking systems.

Volodymyr V. Kindratenko, William R. Sherman

Virtual Real., 2005

The Visible Radio: Process Visualization of a Software-Defined Radio.

Matthew Hall, Alex Betts, Donna J. Cox, David Pointer, Volodymyr V. Kindratenko

Proceedings of the 16th IEEE Visualization Conference, 2005

2003

On Using Functions to Describe the Shape.

Volodymyr V. Kindratenko

J. Math. Imaging Vis., 2003

IntelliBadge^TM: Towards Providing Location-Aware Value-Added Services at Academic Conferences.

Donna J. Cox, Volodymyr V. Kindratenko, David Pointer

Proceedings of the UbiComp 2003: Ubiquitous Computing, 2003

2001

A Comparison of the Accuracy of an Electromagnetic and a Hybrid Ultrasound-Inertia Position Tracking System.

Volodymyr V. Kindratenko

Presence Teleoperators Virtual Environ., 2001

2000

A survey of electromagnetic position tracker calibration techniques.

Volodymyr V. Kindratenko

Virtual Real., 2000

Evaluation of Rotation Correction Techniques for Electromagnetic Position Tracking Systems.

Volodymyr V. Kindratenko, Angela Bennett

Proceedings of the 6th Eurographics Workshop on Virtual Environments, 2000

1999

Calibration of electromagnetic tracking devices.

Volodymyr V. Kindratenko

Virtual Real., 1999

1998

Sharing virtual environments over a transatlantic ATM network in support of distant collaboration in vehicle design.

Volodymyr V. Kindratenko, Berthold Kirsch

Proceedings of the 4th Eurographics Workshop on Virtual Environments, 1998

1996

Classification of irregularly shaped micro-objects using complex Fourier descriptors.

Volodymyr V. Kindratenko, Piet J. M. Van Espen

Proceedings of the 13th International Conference on Pattern Recognition, 1996

1995

Binarization of Inhomogeneously Illuminated Images.

Volodymyr V. Kindratenko, Boris A. Treiger, Piet J. M. Van Espen

Proceedings of the Image Analysis and Processing, 8th International Conference, 1995