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1,139 results on '"ELMOATAZ, A."'

2. Graph Based Semi-supervised Learning Using Spatial Segregation Theory

Author

Bozorgnia, Farid, Fotouhi, Morteza, Arakelyan, Avetik, and Elmoataz, Abderrahim

Subjects
Mathematics - Numerical Analysis
Abstract

In this work we address graph based semi-supervised learning using the theory of the spatial segregation of competitive systems. First, we define a discrete counterpart over connected graphs by using direct analogue of the corresponding competitive system. This model turns out doesn't have a unique solution as we expected. Nevertheless, we suggest gradient projected and regularization methods to reach some of the solutions. Then we focus on a slightly different model motivated from the recent numerical results on the spatial segregation of reaction-diffusion systems. In this case we show that the model has a unique solution and propose a novel classification algorithm based on it. Finally, we present numerical experiments showing the method is efficient and comparable to other semi-supervised learning algorithms at high and low label rates., Comment: 27 pages, 45 figures, 2 tables; Key words and phrases. Free boundary, Semi-supervised learning, Laplace learning

Published
2022

5. Variational models for signal processing with Graph Neural Networks

Author

Azad, Amitoz, Rabin, Julien, and Elmoataz, Abderrahim

Subjects
Computer Science - Machine Learning
Abstract

This paper is devoted to signal processing on point-clouds by means of neural networks. Nowadays, state-of-the-art in image processing and computer vision is mostly based on training deep convolutional neural networks on large datasets. While it is also the case for the processing of point-clouds with Graph Neural Networks (GNN), the focus has been largely given to high-level tasks such as classification and segmentation using supervised learning on labeled datasets such as ShapeNet. Yet, such datasets are scarce and time-consuming to build depending on the target application. In this work, we investigate the use of variational models for such GNN to process signals on graphs for unsupervised learning. Our contributions are two-fold. We first show that some existing variational-based algorithms for signals on graphs can be formulated as Message Passing Networks (MPN), a particular instance of GNN, making them computationally efficient in practice when compared to standard gradient-based machine learning algorithms. Secondly, we investigate the unsupervised learning of feed-forward GNN, either by direct optimization of an inverse problem or by model distillation from variational-based MPN. Keywords:Graph Processing. Neural Network. Total Variation. Variational Methods. Message Passing Network. Unsupervised learning, Comment: This paper has been accepted to International Conference on Scale Space and Variational Methods in Computer Vision (SSVM - 2021)

Published
2021

6. Continuum limit of $p$-Laplacian evolution problems on graphs:$L^q$ graphons and sparse graphs

Author

Bouchairi, Imad El, Fadili, Jalal, and Elmoataz, Abderrahim

Subjects
Mathematics - Analysis of PDEs, Mathematics - Dynamical Systems, Mathematics - Numerical Analysis
Abstract

In this paper we study continuum limits of the discretized $p$-Laplacian evolution problem on sparse graphs with homogeneous Neumann boundary conditions. This extends the results of [24] to a far more general class of kernels, possibly singular, and graph sequences whose limit are the so-called $L^q$-graphons. More precisely, we derive a bound on the distance between two continuous-in-time trajectories defined by two different evolution systems (i.e. with different kernels, second member and initial data). Similarly, we provide a bound in the case that one of the trajectories is discrete-in-time and the other is continuous. In turn, these results lead us to establish error estimates of the full discretization of the $p$-Laplacian problem on sparse random graphs. In particular, we provide rate of convergence of solutions for the discrete models to the solution of the continuous problem as the number of vertices grows.

Published
2020

7. Tug of War games and PDEs on graphs with applications in image and high dimensional data processing

Author

Hamza Ennaji, Yvain Quéau, and Abderrahim Elmoataz

Subjects
Medicine, Science
Abstract

Abstract The aim of this note is to revisit the connections between some stochastic games, namely Tug-of-War games, and a class of nonlocal PDEs on graphs. We consider a general formulation of Tug-of-War games which is shown to be related to many classical PDEs in the continuous setting. We transcribe these equations on graphs using ad hoc differential operators and we show that it covers several nonlocal PDEs on graphs such as $$\infty $$ ∞ -Laplacian, game p-Laplacian and the eikonal equation. This unifying mathematical framework allows us to easily design simple algorithms to solve several inverse problems in imaging and data science, with a particular focus on cultural heritage and medical imaging.

Published
2023
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11. Nonlocal $p$-Laplacian Variational problems on graphs

Author

Hafiene, Yosra, Fadili, Jalal, and Elmoataz, Abderrahim

Subjects
Mathematics - Numerical Analysis, Electrical Engineering and Systems Science - Image and Video Processing, Electrical Engineering and Systems Science - Signal Processing, Mathematics - Optimization and Control
Abstract

In this paper, we study a nonlocal variational problem which consists of minimizing in $L^2$ the sum of a quadratic data fidelity and a regularization term corresponding to the $L^p$-norm of the nonlocal gradient. In particular, we study convergence of the numerical solution to a discrete version of this nonlocal variational problem to the unique solution of the continuum one. To do so, we derive an error bound and highlight the role of the initial data and the kernel governing the nonlocal interactions. When applied to variational problem on graphs, this error bound allows us to show the consistency of the discretized variational problem as the number of vertices goes to infinity. More precisely, for networks in convergent graph sequences (simple and weighted deterministic dense graphs as well as random inhomogeneous graphs), we prove convergence and provide rate of convergence of solutions for the discrete models to the solution of the continuum problem as the number of vertices grows.

Published
2018

12. Low-Rank Registration of Images Captured Under Unknown, Varying Lighting

Author

Pizenberg, Matthieu, Quéau, Yvain, Elmoataz, Abderrahim, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Elmoataz, Abderrahim, editor, Fadili, Jalal, editor, Quéau, Yvain, editor, Rabin, Julien, editor, and Simon, Loïc, editor

Published
2021
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13. Continuum limit of the nonlocal p-Laplacian evolution problem on random inhomogeneous graphs

Author

Hafiene, Yosra, Fadini, Jalal, Chesneau, Christophe, and Elmoataz, Abderrahim

Subjects
Mathematics - Numerical Analysis
Abstract

In this paper we study numerical approximations of the evolution problem for the nonlocal $p$-Laplacian operator with homogeneous Neumann boundary conditions on inhomogeneous random convergent graph sequences. More precisely, for networks on convergent inhomogeneous random graph sequences (generated first by deterministic and then random node sequences), we establish their continuum limits and provide rate of convergence of solutions for the discrete models to their continuum counterparts as the number of vertices grows. Our bounds reveals the role of the different parameters, and in particular that of $p$ and the geometry/regularity of the data.

Published
2018

16. Nonlocal $p$-Laplacian evolution problems on graphs

Author

Yosra, Hafiene, Fadili, Jalal, and Elmoataz, Abderrahim

Subjects
Mathematics - Analysis of PDEs, Mathematics - Dynamical Systems, Mathematics - Numerical Analysis, 65N12, 34A12, 45G10, 05C90
Abstract

In this paper we study numerical approximations of the evolution problem for the nonlocal $p$-Laplacian with homogeneous Neumann boundary conditions. First, we derive a bound on the distance between two continuous-in-time trajectories defined by two different evolution systems (i.e. with different kernels and initial data). We then provide a similar bound for the case when one of the trajectories is discrete-in-time and the other is continuous. In turn, these results allow us to establish error estimates of the discretized $p$-Laplacian problem on graphs. More precisely, for networks on convergent graph sequences (simple and weighted graphs), we prove convergence and provide rate of convergence of solutions for the discrete models to the solution of the continuous problem as the number of vertices grows. We finally touch on the limit as $p \to \infty$ in these approximations and get uniform convergence results.

Published
2016

18. A Novel Iterative MLEM Image Reconstruction Algorithm Based on Beltrami Filter: Application to ECT Images

Author

Abdelwahhab Boudjelal, Abderrahim Elmoataz, Bilal Attallah, and Zoubeida Messali

Subjects
EM algorithm, beltrami filtering, emission-computed tomography, FBP algorithm, poisson distribution, Computer applications to medicine. Medical informatics, R858-859.7
Abstract

The implementation of emission-computed tomography (ECT), including positron emission tomography and single-photon emission-computed tomography, has been an important research topic in recent years and is of significant and practical importance. However, the slow rate of convergence and the computational complexity have severely impeded the efficient implementation of iterative reconstruction. By combining the maximum-likelihood expectation maximization (MLEM) iteratively along with the Beltrami filter, this paper proposes a new approach to reformulate the MLEM algorithm. Beltrami filtering is applied to an image obtained using the MLEM algorithm for each iteration. The role of Beltrami filtering is to remove mainly out-of-focus slice blurs, which are artifacts present in most existing images. To improve the quality of an image reconstructed using MLEM, the Beltrami filter employs similar structures, which in turn reduce the number of errors in the reconstructed image. Numerical image reconstruction tomography experiments have demonstrated the performance capability of the proposed algorithm in terms of an increase in signal-to-noise ratio (SNR) and the recovery of fine details that can be hidden in the data. The SNR and visual inspections of the reconstructed images are significantly improved compared to those of a standard MLEM. We conclude that the proposed algorithm provides an edge-preserving image reconstruction and substantially suppress noise and edge artifacts.

Published
2021
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27. The Nonlocal p-Laplacian Evolution Problem on Graphs: The Continuum Limit

Author

Hafiene, Yosra, Fadili, Jalal, Elmoataz, Abderrahim, Hutchison, David, Series Editor, Kanade, Takeo, Series Editor, Kittler, Josef, Series Editor, Kleinberg, Jon M., Series Editor, Mattern, Friedemann, Series Editor, Mitchell, John C., Series Editor, Naor, Moni, Series Editor, Pandu Rangan, C., Series Editor, Steffen, Bernhard, Series Editor, Terzopoulos, Demetri, Series Editor, Tygar, Doug, Series Editor, Weikum, Gerhard, Series Editor, Mansouri, Alamin, editor, El Moataz, Abderrahim, editor, Nouboud, Fathallah, editor, and Mammass, Driss, editor

Published
2018
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28. PDEs on Graphs for Image Reconstruction on Positron Emission Tomography

Author

Boudjelal, Abdelwahhab, Elmoataz, Abderrahim, Lozes, François, Messali, Zoubeida, Hutchison, David, Series Editor, Kanade, Takeo, Series Editor, Kittler, Josef, Series Editor, Kleinberg, Jon M., Series Editor, Mattern, Friedemann, Series Editor, Mitchell, John C., Series Editor, Naor, Moni, Series Editor, Pandu Rangan, C., Series Editor, Steffen, Bernhard, Series Editor, Terzopoulos, Demetri, Series Editor, Tygar, Doug, Series Editor, Weikum, Gerhard, Series Editor, Mansouri, Alamin, editor, El Moataz, Abderrahim, editor, Nouboud, Fathallah, editor, and Mammass, Driss, editor

Published
2018
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33. Nonlocal Difference Operators on Graphs for Interpolation on Point Clouds

Author

Lozes, François, Elmoataz, Abderrahim, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Angulo, Jesús, editor, Velasco-Forero, Santiago, editor, and Meyer, Fernand, editor

Published
2017
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38. Data from Functional Analysis of Secreted Caveolin-1 in Mouse Models of Prostate Cancer Progression

Author

Watanabe, Masami, primary, Yang, Guang, primary, Cao, Guangwen, primary, Tahir, Salahaldin A., primary, Naruishi, Koji, primary, Tabata, Ken-ichi, primary, Fattah, Elmoataz Abdel, primary, Rajagopalan, Kartik, primary, Timme, Terry L., primary, Park, Sanghee, primary, Kurosaka, Shinji, primary, Edamura, Kohei, primary, Tanimoto, Ryuta, primary, Demayo, Francesco J., primary, Goltsov, Alexei A., primary, and Thompson, Timothy C., primary

Published
2023
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39. Supplementary Data from Functional Analysis of Secreted Caveolin-1 in Mouse Models of Prostate Cancer Progression

Author

Watanabe, Masami, primary, Yang, Guang, primary, Cao, Guangwen, primary, Tahir, Salahaldin A., primary, Naruishi, Koji, primary, Tabata, Ken-ichi, primary, Fattah, Elmoataz Abdel, primary, Rajagopalan, Kartik, primary, Timme, Terry L., primary, Park, Sanghee, primary, Kurosaka, Shinji, primary, Edamura, Kohei, primary, Tanimoto, Ryuta, primary, Demayo, Francesco J., primary, Goltsov, Alexei A., primary, and Thompson, Timothy C., primary

Published
2023
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40. Nonlocal PDEs Morphology on Graph: A Generalized Shock Operators on Graph

Author

Sadi, Ahcene, EL Chakik, Abdallah, Elmoataz, Abderrahim, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Kobsa, Alfred, Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Elmoataz, Abderrahim, editor, Lezoray, Olivier, editor, Nouboud, Fathallah, editor, and Mammass, Driss, editor

Published
2014
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45. Nonlocal Continuum Limits of p-Laplacian Problems on Graphs

Author

Imad El Bouchairi, Jalal Fadili, Yosra Hafiene, and Abderrahim Elmoataz

Abstract

In this Element, the authors consider fully discretized p-Laplacian problems (evolution, boundary value and variational problems) on graphs. The motivation of nonlocal continuum limits comes from the quest of understanding collective dynamics in large ensembles of interacting particles, which is a fundamental problem in nonlinear science, with applications ranging from biology to physics, chemistry and computer science. Using the theory of graphons, the authors give a unified treatment of all the above problems and establish the continuum limit for each of them together with non-asymptotic convergence rates. They also describe an algorithmic framework based proximal splitting to solve these discrete problems on graphs.

Published
2023

46. Data from Functional Analysis of Secreted Caveolin-1 in Mouse Models of Prostate Cancer Progression

Author

Timothy C. Thompson, Alexei A. Goltsov, Francesco J. Demayo, Ryuta Tanimoto, Kohei Edamura, Shinji Kurosaka, Sanghee Park, Terry L. Timme, Kartik Rajagopalan, Elmoataz Abdel Fattah, Ken-ichi Tabata, Koji Naruishi, Salahaldin A. Tahir, Guangwen Cao, Guang Yang, and Masami Watanabe

Abstract

Previously, we reported that caveolin-1 (cav-1) is overexpressed in metastatic prostate cancer and that virulent prostate cancer cells secrete biologically active cav-1. We also showed that cav-1 expression leads to prosurvival activities through maintenance of activated Akt and that cav-1 is taken up by other cav-1–negative tumor cells and/or endothelial cells, leading to stimulation of angiogenic activities through PI-3-K-Akt-eNOS signaling. To analyze the functional consequences of cav-1 overexpression on the development and progression of prostate cancer in vivo, we generated PBcav-1 transgenic mice. Adult male PBcav-1 mice showed significantly increased prostatic wet weight and higher incidence of epithelial hyperplasia compared with nontransgenic littermates. Increased immunostaining for cav-1, proliferative cell nuclear antigen, P-Akt, and reduced nuclear p27Kip1 staining occurred in PBcav-1 hyperplastic prostatic lesions. PBcav-1 mice showed increased resistance to castration-induced prostatic regression and elevated serum cav-1 levels compared with nontransgenic littermates. Intraprostatic injection of androgen-sensitive, cav-1–secreting RM-9 mouse prostate cancer cells resulted in tumors that were larger in PBcav-1 mice than in nontransgenic littermates (P = 0.04). Tail vein inoculation of RM-9 cells produced significantly more experimental lung metastases in PBcav-1 males than in nontransgenic male littermates (P = 0.001), and in cav-1+/+ mice than in cav-1−/− mice (P = 0.041). Combination treatment with surgical castration and systemic cav-1 antibody dramatically reduced the number of experimental metastases. These experimental data suggest a causal association of secreted cav-1 and prostate cancer growth and progression. (Mol Cancer Res 2009;7(9):1446–55)

Published
2023

47. Supplementary Data from Functional Analysis of Secreted Caveolin-1 in Mouse Models of Prostate Cancer Progression

Author

Timothy C. Thompson, Alexei A. Goltsov, Francesco J. Demayo, Ryuta Tanimoto, Kohei Edamura, Shinji Kurosaka, Sanghee Park, Terry L. Timme, Kartik Rajagopalan, Elmoataz Abdel Fattah, Ken-ichi Tabata, Koji Naruishi, Salahaldin A. Tahir, Guangwen Cao, Guang Yang, and Masami Watanabe

Abstract

Supplementary Data from Functional Analysis of Secreted Caveolin-1 in Mouse Models of Prostate Cancer Progression

Published
2023

48. Preoperative risk factors for conversion from laparoscopic to open cholecystectomy: a validated risk score derived from a prospective U.K. database of 8820 patients

Author

Fenwick, Stephen, Elmasry, Mohamed, Nunes, Quentin, Kennedy, David, Khan, Raja B., Khan, Muhammad A.S., Magee, Conor J., Jones, Steven M., Mason, Denise, Parappally, Ciny P., Mathur, Pawan, Saunders, Michael, Jamel, Sara, Haque, Samer U.l., Zafar, Sara, Shiwani, Muhammad H., Samuel, Nehemiah, Dar, Farooq, Jackson, Andrew, Lovett, Bryony, Dindyal, Shiva, Winter, Hannah, Rahman, Saquib, Wheatley, Kevin, Nieto, Tom, Ayaani, Soofiyah, Youssef, Haney, Nijjar, Rajwinder S., Watkin, Helen, Naumann, David, Emeshi, Sophie, Sarmah, Piyush B., Lee, Kathryn, Joji, Nikita, Heath, Jonathan, Teasdale, Rebecca L., Weerasinghe, Chamindri, Needham, Paul J., Welbourn, Hannah, Forster, Luke, Finch, David, Blazeby, Jane M., Robb, William, McNair, Angus G.K., Hrycaiczuk, Alex, Charalabopoulos, Alexandros, Kadirkamanathan, Sritharan, Tang, Cheuk-Bong, Jayanthi, Naga V.G., Noor, Nigel, Dobbins, Brian, Cockbain, Andrew J., Nilsen-Nunn, April, de Siqueira, Jonathan, Pellen, Mike, Cowley, Jonathan B., Ho, Wei-Min, Miu, Victor, White, Timothy J., Hodgkins, Kathryn A., Kinghorn, Alison, Tutton, Matthew G., Al-Abed, Yahya A., Menzies, Donald, Ahmad, Anwar, Reed, Joanna, Khan, Shabuddin, Monk, David, Vitone, Louis J., Murtaza, Ghulam, Joel, Abraham, Brennan, Stephen, Shier, David, Zhang, Catherine, Yoganathan, Thusidaran, Robinson, Steven J., McCallum, Iain J.D., Jones, Michael J., Elsayed, Mohammed, Tuck, Liz, Wayman, John, Carney, Kate, Aroori, Somaiah, Hosie, Kenneth B., Kimble, Adam, Bunting, David M., Fawole, Adeshina S., Basheer, Mohammed, Dave, Rajiv V., Sarveswaran, Janahan, Jones, Elinor, Kendal, Chris, Tilston, Michael P., Gough, Martin, Wallace, Tom, Singh, Shailendra, Downing, Justine, Mockford, Katherine A., Issa, Eyad, Shah, Nayab, Chauhan, Neal, Wilson, Timothy R., Forouzanfar, Amir, Wild, Jonathan R.L., Nofal, Emma, Bunnell, Catherine, Madbak, Khaliel, Rao, Sudhindra T.V., Devoto, Laurence, Siddiqi, Najaf, Khawaja, Zechan, Hewes, James C., Gould, Laura, Chambers, Alice, Rodriguez, Daniel U., Sen, Gourab, Robinson, Stuart, Bartlett, Francis, Rae, David M., Stevenson, Thomas E.J., Sarvananthan, Kas, Dwerryhouse, Simon J., Higgs, Simon M., Old, Oliver J., Hardy, Thomas J., Shah, Reena, Hornby, Steve T., Keogh, Ken, Frank, Lucinda, Al-Akash, Musallam, Upchurch, Emma A., Frame, Richard J., Hughes, Michael, Jelley, Clare, Weaver, Simon, Roy, Sudipta, Sillo, Toritseju O., Galanopoulos, Giorgios, Cuming, Tamzin, Cunha, Pedro, Tayeh, Salim, Kaptanis, Sarantos, Heshaishi, Mohamed, Eisawi, Abdalla, Abayomi, Michael, Ngu, Wee S., Fleming, Katie, Bajwa, Dalvir S., Chitre, Vivek, Aryal, Kamal, Ferris, Paul, Silva, Michael, Lammy, Simon, Mohamed, Sarah, Khawaja, Amir, Hussain, Adnan, Ghazanfar, Mudassar A., Bellini, Maria I., Ebdewi, Hamdi, Elshaer, Mohamed, Gravante, Gianpiero, Drake, Benjamin, Ogedegbe, Arikoge, Mukherjee, Dipankar, Arhi, Chanpreet, Giwa, Lola, Iqbal, Nusrat, Watson, Nicholas F., Aggarwal, Smeer K., Orchard, Philippa, Villatoro, Eduardo, Willson, Peter D., Mok, Kam W.J., Woodman, Thomas, Deguara, Jean, Garcea, Giuseppe, Babu, Benoy I., Dennison, Alistair R., Malde, Deep, Lloyd, David, Slavin, John P., Jones, Robert P., Ballance, Laura, Gerakopoulos, Stratos, Jambulingam, Periyathambi, Mansour, Sami, Sakai, Naomi, Acharya, Vikas, Sadat, Mohammed M., Karim, Lawen, Larkin, David, Amin, Khalid, Khan, Amarah, Law, Jennifer, Jamdar, Saurabh, Smith, Stella R., Sampat, Keerthika, O'shea, Kathryn M., Manu, Mangta, Asprou, Fotini M., Malik, Nabeela S., Chang, Jessica, Johnstone, Marianne, Lewis, Michael, Roberts, Geoffrey P., Karavadra, Babu, Photi, Evangelos, Hewes, James, Rodriguez, Dan, O'Reilly, Derek A., Rate, Anthony J., Sekhar, Hema, Henderson, Lucy T., Starmer, Benjamin Z., Coe, Peter O., Tolofari, Sotonye, Barrie, Jenifer, Bashir, Gareth, Sloane, Jake, Madanipour, Suroosh, Halkias, Constantine, Trevatt, Alexander E.J., Borowski, David W., Hornsby, Jane, Courtney, Michael J., Virupaksha, Suvi, Seymour, Keith, Robinson, Sarah, Hawkins, Helen, Bawa, Sadiq, Gallagher, Paul V., Reid, Alistair, Wood, Peter, Finch, Jonathan G., Finch, J.Guy, Parmar, Jitesh, Stirland, Euan, Gardner-Thorpe, James, Al-Muhktar, Ahmed, Peterson, Mark, Majeed, Ali, Bajwa, Farrukh M., Martin, Jack, Choy, Alfred, Tsang, Andrew, Pore, Naresh, Andrew, David R., Al-Khyatt, Waleed, Santosh Bhandari, Christopher Taylor, Chambers, Adam, Subramanium, Dhivya, Toh, Simon K.C., Carter, Nicholas C., Mercer, Stuart J., Knight, Benjamin, Vijay, Vardhini, Alagaratnam, Swethan, Sinha, Sidhartha, Khan, Shahab, El-Hasani, Shamsi S., Hussain, Abdulzahra A., Bhattacharya, Vish, Kansal, Nisheeth, Fasih, Tani, Jackson, Claire, Siddiqui, Midhat N., Chishti, Imran A., Fordham, Imogen J., Siddiqui, Zohaib, Bausbacher, Harald, Geogloma, Ileana, Gurung, Kabita, Tsavellas, George, Basynat, Pradeep, Shrestha, Ashish K., Basu, Sanjoy, Chhabra, Alok, Harilingam, Mohan, Rabie, Mohamed, Akhtar, Mansoor, Kumar, Pradeep, Jafferbhoy, Sadaf F., Hussain, Najam, Raza, Soulat, Haque, Manzarul, Alam, Imran, Aseem, Rabiya, Patel, Shakira, Asad, Mehek, Booth, Michael I., Ball, William R., Wood, Christopher P.J., Pinho-Gomes, Ana C., Kausar, Ambareen, Obeidallah, Mohammed, Varghase, Joseph, Lodhia, Joshil, Bradley, Donal, Rengifo, Carla, Lindsay, David, Gopalswamy, Sivakumar, Finlay, Ian, Wardle, Stacy, Bullen, Naomi, Iftikhar, Syed Y., Awan, Altaf, Ahmed, Javed, Leeder, Paul, Fusai, Guiseppe, Bond-Smith, Giles, Psica, Alicja, Puri, Yogesh, Hou, David, Noble, Fergus, Szentpali, Karoly, Broadhurst, Jack, Date, Ravindra, Hossack, Martin R., Goh, Yan L., Turner, Paul, Shetty, Vinutha, Riera, Manel, Macano, Christina A.W., Sukha, Anisha, Preston, Shaun R., Hoban, Jennifer R., Puntis, Daniel J., Williams, Sophie V., Krysztopik, Richard, Kynaston, James, Batt, Jeremy, Doe, Matthew, Goscimski, Andrzej, Jones, Gareth H., Hall, Claire, Carty, Nick, Ahmed, Jamil, Panteleimonitis, Sofoklis, Gunasekera, Rohan T., Sheel, Andrea R.G., Lennon, Hannah, Hindley, Caroline, Reddy, Marcus, Kenny, Ross, Elkheir, Natalie, McGlone, Emma R., Rajaganeshan, Rajasundaram, Hancorn, Kate, Hargreaves, Anita, Prasad, Raj, Longbotham, David A., Vijayanand, Dhakshinamoorthy, Wijetunga, Imeshi, Ziprin, Paul, Nicolay, Christopher R., Yeldham, Geoffrey, Read, Edward, Gossage, James A., Rolph, Rachel C., Ebied, Husam, Phull, Manraj, Khan, Mohammad A., Popplewell, Matthew, Kyriakidis, Dimitrios, Hussain, Anwar, Henley, Natasha, Packer, Jessica R., Derbyshire, Laura, Porter, Jonathan, Appleton, Shaun, Farouk, Marwan, Basra, Melvinder, Jennings, Neil A., Ali, Shahda, Kanakala, Venkatesh, Ali, Haythem, Lane, Risha, Dickson-Lowe, Richard, Zarsadias, Prizzi, Mirza, Darius, Puig, Sonia, Al Amari, Khalid, Vijayan, Deepak, Sutcliffe, Robert, Marudanayagam, Ravi, Hamady, Zayed, Prasad, Abheesh R., Patel, Abhilasha, Durkin, Damien, Kaur, Parminder, Bowen, Laura, Byrne, James P., Pearson, Katherine L., Delisle, Theo G., Davies, James, Tomlinson, Mark A., Johnpulle, Michelle A., Slawinski, Corinna, Macdonald, Andrew, Nicholson, James, Newton, Katy, Mbuvi, James, Farooq, Ansar, Mothe, Bhavani S., Zafrani, Zakhi, Brett, Daniel, Francombe, James, Spreadborough, Philip, Barnes, James, Cheung, Melanie, Al-Bahrani, Ahmed Z., Preziosi, Giuseppe, Urbonas, Tomas, Alberts, Justin, Mallik, Mekhlola, Patel, Krashna, Segaran, Ashvina, Doulias, Triantafyllos, Sufi, Pratik A., Yao, Caroline, Pollock, Sarah, Manzelli, Antonio, Wajed, Saj, Kourkulos, Michail, Pezzuto, Roberto, Wadley, Martin, Hamilton, Emma, Jaunoo, Shameen, Padwick, Robert, Sayegh, Mazin, Newton, Richard C., Hebbar, Madhusoodhana, Farag, Sameh F., Hebbar, Madhu, Spearman, John, Hamdan, Mohammed F., D'Costa, Conrad, Blane, Christine, Giles, Mathew, Peter, Mark B., Hirst, Natalie A., Hossain, Tanvir, Pannu, Arslan, El-Dhuwaib, Yesar, Morrison, Tamsin E.M., Taylor, Greg W., Thompson, Ronald L.E., McCune, Ken, Loughlin, Paula, Lawther, Roger, Byrnes, Colman K., Simpson, Duncan J., Mawhinney, Abi, Warren, Conor, McKay, Damian, McIlmunn, Colin, Martin, Serena, MacArtney, Matthew, Diamond, Tom, Davey, Phil, Jones, Claire, Clements, Joshua M., Digney, Ruairi, Chan, Wei M., McCain, Stephen, Gull, Sadaf, Janeczko, Adam, Dorrian, Emmet, Harris, Andrew, Dawson, Suzanne, Johnston, Dorothy, McAree, Barry, Ghareeb, Essam, Thomas, George, Connelly, Martin, McKenzie, Stephen, Cieplucha, Krzysztos, Spence, Gary, Campbell, William, Hooks, Gareth, Bradley, Neil, Hill, Arnold D.K., Cassidy, John T., Boland, Michael, Burke, Paul, Nally, Deirdre M., Khogali, Elmoataz, Shabo, Wael, Iskandar, Edrin, McEntee, Gerry P., O'Neill, Maeve A., Peirce, Colin, Lyons, Emma M., O'Sullivan, Adrian W., Thakkar, Rohan, Carroll, Paul, Ivanovski, Ivan, Balfe, Paul, Lee, Matthew, Winter, Des C., Kelly, Michael E., Hoti, Emir, Maguire, Donal, Karunakaran, Priyadarssini, Geoghegan, Justin G., Martin, Sean T., Cross, Keith S., Cooke, Fiachra, Zeeshan, Saquib, Murphy, James O., Mealy, Ken, Mohan, Helen M., Nedujchelyn, 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Published
2016
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50. Solving Minimal Surface Problems on Surfaces and Point Clouds

Author

Tenbrinck, Daniel, Lozes, François, Elmoataz, Abderrahim, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Aujol, Jean-François, editor, Nikolova, Mila, editor, and Papadakis, Nicolas, editor

Published
2015
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