Dan Feldman - RankMe

135 papers A* 28A 6B 1C 3Misc 1Journal 77Unranked 18

Year	Rank	Type	Title / Venue / Authors
2026	B	`conf`	Linear Time Small Coresets for k-Mean Clustering of Segments with Applications. WALCOM David Denisov, Shlomi Dolev, Dan Feldman, Michael Segal
2025	—	`conf`	Smart-Init of neural networks. ICCAI David Denisov, Dan Feldman, Shlomi Dolev, Michael Segal
2025	J	`jnl`	Turning Big Data Into Tiny Data: Coresets for Unsupervised Learning Problems. SIAM Rev. Dan Feldman, Melanie Schmidt, Christian Sohler
2024	J	`jnl`	A Unified Approach to Coreset Learning. IEEE Trans. Neural Networks Learn. Syst. Alaa Maalouf, Gilad Eini, Ben Mussay, Dan Feldman, Margarita Osadchy
2024	—	`conf`	Provable Imbalanced Point Clustering. CSCML David Denisov, Dan Feldman, Shlomi Dolev, Michael Segal
2024	J	`jnl`	Provable Imbalanced Point Clustering. CoRR David Denisov, Dan Feldman, Shlomi Dolev, Michael Segal
2023	J	`jnl`	Affective Polarization in Social Networks. CoRR Dan Feldman, Ashwin Rao, Zihao He, Kristina Lerman
2023	A*	`conf`	Deep Learning on Home Drone: Searching for the Optimal Architecture. ICRA Alaa Maalouf, Yotam Gurfinkel, Barak Diker, Oren Gal, Daniela Rus, Dan Feldman
2023	J	`jnl`	Least-Mean-Squares Coresets for Infinite Streams. IEEE Trans. Knowl. Data Eng. Vladimir Braverman, Dan Feldman, Harry Lang, Daniela Rus, Adiel Statman
2023	J	`jnl`	ORBSLAM3-Enhanced Autonomous Toy Drones: Pioneering Indoor Exploration. CoRR Murad Tukan, Fares Fares, Yotam Grufinkle, Ido Talmor, Loay Mualem, Vladimir Braverman, Dan Feldman
2023	J	`jnl`	Provable Data Subset Selection For Efficient Neural Network Training. CoRR Murad Tukan, Samson Zhou, Alaa Maalouf, Daniela Rus, Vladimir Braverman, Dan Feldman
2023	A*	`conf`	Provable Data Subset Selection For Efficient Neural Networks Training. ICML Murad Tukan, Samson Zhou, Alaa Maalouf, Daniela Rus, Vladimir Braverman, Dan Feldman
2022	J	`jnl`	Aligning Points to Lines: Provable Approximations. IEEE Trans. Knowl. Data Eng. Ibrahim Jubran, Dan Feldman
2022	A*	`conf`	Coreset for Line-Sets Clustering. NeurIPS Sagi Lotan, Ernesto Evgeniy Sanches Shayda, Dan Feldman
2022	A	`conf`	Coresets for Data Discretization and Sine Wave Fitting. AISTATS Alaa Maalouf, Murad Tukan, Eric Price, Daniel M. Kane, Dan Feldman
2022	J	`jnl`	Coresets for Data Discretization and Sine Wave Fitting. CoRR Alaa Maalouf, Murad Tukan, Eric Price, Daniel Kane, Dan Feldman
2022	J	`jnl`	Data-Independent Structured Pruning of Neural Networks via Coresets. IEEE Trans. Neural Networks Learn. Syst. Ben Mussay, Dan Feldman, Samson Zhou, Vladimir Braverman, Margarita Osadchy
2022	J	`jnl`	Deep Learning on Home Drone: Searching for the Optimal Architecture. CoRR Alaa Maalouf, Yotam Gurfinkel, Barak Diker, Oren Gal, Daniela Rus, Dan Feldman
2022	J	`jnl`	Fast and Accurate Least-Mean-Squares Solvers for High Dimensional Data. IEEE Trans. Pattern Anal. Mach. Intell. Alaa Maalouf, Ibrahim Jubran, Dan Feldman
2022	A*	`conf`	Generic Coreset for Scalable Learning of Monotonic Kernels: Logistic Regression, Sigmoid and more. ICML Elad Tolochinsky, Ibrahim Jubran, Dan Feldman
2022	A	`conf`	New Coresets for Projective Clustering and Applications. AISTATS Murad Tukan, Xuan Wu, Samson Zhou, Vladimir Braverman, Dan Feldman
2022	J	`jnl`	New Coresets for Projective Clustering and Applications. CoRR Murad Tukan, Xuan Wu, Samson Zhou, Vladimir Braverman, Dan Feldman
2022	A	`conf`	Newton-PnP: Real-time Visual Navigation for Autonomous Toy-Drones. IROS Ibrahim Jubran, Fares Fares, Yuval Alfassi, Firas Ayoub, Dan Feldman
2022	J	`jnl`	Newton-PnP: Real-time Visual Navigation for Autonomous Toy-Drones. CoRR Ibrahim Jubran, Fares Fares, Yuval Alfassi, Firas Ayoub, Dan Feldman
2022	A	`conf`	Obstacle Aware Sampling for Path Planning. IROS Murad Tukan, Alaa Maalouf, Dan Feldman, Roi Poranne
2022	J	`jnl`	Obstacle Aware Sampling for Path Planning. CoRR Murad Tukan, Alaa Maalouf, Dan Feldman, Roi Poranne
2022	J	`jnl`	Sensitivity-Informed Provable Pruning of Neural Networks. SIAM J. Math. Data Sci. Cenk Baykal, Lucas Liebenwein, Igor Gilitschenski, Dan Feldman, Daniela Rus
2021	J	`jnl`	A Unified Approach to Coreset Learning. CoRR Alaa Maalouf, Gilad Eini, Ben Mussay, Dan Feldman, Margarita Osadchy
2021	J	`jnl`	Artificial Intelligence for Modeling Complex Systems: Taming the Complexity of Expert Models to Improve Decision Making. ACM Trans. Interact. Intell. Syst. Yolanda Gil, Daniel Garijo, Deborah Khider, Craig A. Knoblock, Varun Ratnakar, Maximiliano Osorio, Hernán Vargas, Minh Pham, Jay Pujara, Basel Shbita, Binh Vu, Yao-Yi Chiang, Dan Feldman, Yijun Lin, Hayley Song, Vipin Kumar, Ankush Khandelwal, Michael S. Steinbach, Kshitij Tayal, Shaoming Xu, Suzanne A. Pierce, Lissa Pearson, Daniel Hardesty-Lewis, Ewa Deelman, Rafael Ferreira da Silva, Rajiv Mayani, Armen R. Kemanian, Yuning Shi, Lorne Leonard, Scott D. Peckham, Maria Stoica, Kelly M. Cobourn, Zeya Zhang, Christopher J. Duffy, Lele Shu
2021	A*	`conf`	Compressing Neural Networks: Towards Determining the Optimal Layer-wise Decomposition. NeurIPS Lucas Liebenwein, Alaa Maalouf, Dan Feldman, Daniela Rus
2021	J	`jnl`	Compressing Neural Networks: Towards Determining the Optimal Layer-wise Decomposition. CoRR Lucas Liebenwein, Alaa Maalouf, Oren Gal, Dan Feldman, Daniela Rus
2021	A*	`conf`	Coresets for Decision Trees of Signals. NeurIPS Ibrahim Jubran, Ernesto Evgeniy Sanches Shayda, Ilan Newman, Dan Feldman
2021	J	`jnl`	Coresets for Decision Trees of Signals. CoRR Ibrahim Jubran, Ernesto Evgeniy Sanches Shayda, Ilan Newman, Dan Feldman
2021	J	`jnl`	Coresets for the Average Case Error for Finite Query Sets. Sensors Alaa Maalouf, Ibrahim Jubran, Murad Tukan, Dan Feldman
2021	A*	`conf`	Deep Learning meets Projective Clustering. ICLR Alaa Maalouf, Harry Lang, Daniela Rus, Dan Feldman
2021	C	`conf`	Efficient Coreset Constructions via Sensitivity Sampling. ACML Vladimir Braverman, Dan Feldman, Harry Lang, Adiel Statman, Samson Zhou
2021	J	`jnl`	Introduction to Coresets: Approximated Mean. CoRR Alaa Maalouf, Ibrahim Jubran, Dan Feldman
2021	J	`jnl`	Low-Regret Active learning. CoRR Cenk Baykal, Lucas Liebenwein, Dan Feldman, Daniela Rus
2021	J	`jnl`	No Fine-Tuning, No Cry: Robust SVD for Compressing Deep Networks. Sensors Murad Tukan, Alaa Maalouf, Matan Weksler, Dan Feldman
2021	J	`jnl`	On coresets for support vector machines. Theor. Comput. Sci. Murad Tukan, Cenk Baykal, Dan Feldman, Daniela Rus
2021	J	`jnl`	Overview of accurate coresets. WIREs Data Mining Knowl. Discov. Ibrahim Jubran, Alaa Maalouf, Dan Feldman
2021	J	`jnl`	Provably Approximated ICP. CoRR Ibrahim Jubran, Alaa Maalouf, Ron Kimmel, Dan Feldman
2021	A*	`conf`	Provably Approximated Point Cloud Registration. ICCV Ibrahim Jubran, Alaa Maalouf, Ron Kimmel, Dan Feldman
2021	—	`conf`	Resolving battery status and customer matching to create 24/7 drones based advertisement system. IRC Jeryes Danial, Yosi Ben-Asher, Dan Feldman
2020	J	`jnl`	Autonomous Toy Drone via Coresets for Pose Estimation. Sensors Soliman Nasser, Ibrahim Jubran, Dan Feldman
2020	J	`jnl`	Compressed Deep Networks: Goodbye SVD, Hello Robust Low-Rank Approximation. CoRR Murad Tukan, Alaa Maalouf, Matan Weksler, Dan Feldman
2020	J	`jnl`	Core-sets: An updated survey. WIREs Data Mining Knowl. Discov. Dan Feldman
2020	A*	`conf`	Coresets for Near-Convex Functions. NeurIPS Murad Tukan, Alaa Maalouf, Dan Feldman
2020	J	`jnl`	Coresets for Near-Convex Functions. CoRR Murad Tukan, Alaa Maalouf, Dan Feldman
2020	A*	`conf`	Data-Independent Neural Pruning via Coresets. ICLR Ben Mussay, Margarita Osadchy, Vladimir Braverman, Samson Zhou, Dan Feldman
2020	J	`jnl`	Data-Independent Structured Pruning of Neural Networks via Coresets. CoRR Ben Mussay, Dan Feldman, Samson Zhou, Vladimir Braverman, Margarita Osadchy
2020	J	`jnl`	Deep Learning Meets Projective Clustering. CoRR Alaa Maalouf, Harry Lang, Daniela Rus, Dan Feldman
2020	J	`jnl`	Deterministic Coresets for k-Means of Big Sparse Data †. Algorithms Artem Barger, Dan Feldman
2020	J	`jnl`	Faster PAC Learning and Smaller Coresets via Smoothed Analysis. CoRR Alaa Maalouf, Ibrahim Jubran, Murad Tukan, Dan Feldman
2020	J	`jnl`	Faster Projective Clustering Approximation of Big Data. CoRR Adiel Statman, Liat Rozenberg, Dan Feldman
2020	J	`jnl`	Introduction to Core-sets: an Updated Survey. CoRR Dan Feldman
2020	C	`conf`	On Coresets for Support Vector Machines. TAMC Murad Tukan, Cenk Baykal, Dan Feldman, Daniela Rus
2020	J	`jnl`	On Coresets for Support Vector Machines. CoRR Murad Tukan, Cenk Baykal, Dan Feldman, Daniela Rus
2020	A*	`conf`	Provable Filter Pruning for Efficient Neural Networks. ICLR Lucas Liebenwein, Cenk Baykal, Harry Lang, Dan Feldman, Daniela Rus
2020	J	`jnl`	Real-time EEG classification via coresets for BCI applications. Eng. Appl. Artif. Intell. Eitan Netzer, Alex Frid, Dan Feldman
2020	J	`jnl`	Secure k-ish Nearest Neighbors Classifier. Proc. Priv. Enhancing Technol. Hayim Shaul, Dan Feldman, Daniela Rus
2020	J	`jnl`	Secure k-ish nearest neighbors classifier. IACR Cryptol. ePrint Arch. Hayim Shaul, Dan Feldman, Daniela Rus
2020	A*	`conf`	Sets Clustering. ICML Ibrahim Jubran, Murad Tukan, Alaa Maalouf, Dan Feldman
2020	J	`jnl`	Sets Clustering. CoRR Ibrahim Jubran, Murad Tukan, Alaa Maalouf, Dan Feldman
2020	J	`jnl`	Sparse Coresets for SVD on Infinite Streams. CoRR Vladimir Braverman, Dan Feldman, Harry Lang, Daniela Rus, Adiel Statman
2020	J	`jnl`	Sphere Fitting with Applications to Machine Tracking. Algorithms Dror Epstein, Dan Feldman
2020	A*	`conf`	Tight Sensitivity Bounds For Smaller Coresets. KDD Alaa Maalouf, Adiel Statman, Dan Feldman
2020	J	`jnl`	Turning Big Data Into Tiny Data: Constant-Size Coresets for k-Means, PCA, and Projective Clustering. SIAM J. Comput. Dan Feldman, Melanie Schmidt, Christian Sohler
2020	J	`jnl`	k-Means: Outliers-Resistant Clustering+++. Algorithms Adiel Statman, Liat Rozenberg, Dan Feldman
2019	—	`conf`	An intelligent interface for integrating climate, hydrology, agriculture, and socioeconomic models. IUI Companion Daniel Garijo, Deborah Khider, Varun Ratnakar, Yolanda Gil, Ewa Deelman, Rafael Ferreira da Silva, Craig A. Knoblock, Yao-Yi Chiang, Minh Pham, Jay Pujara, Binh Vu, Dan Feldman, Rajiv Mayani, Kelly M. Cobourn, Christopher J. Duffy, Armen R. Kemanian, Lele Shu, Vipin Kumar, Ankush Khandelwal, Kshitij Tayal, Scott D. Peckham, Maria Stoica, Anna Dabrowski, Daniel Hardesty-Lewis, Suzanne A. Pierce
2019	J	`jnl`	Coresets for Gaussian Mixture Models of Any Shape. CoRR Dan Feldman, Zahi Kfir, Xuan Wu
2019	—	`conf`	Data-Dependent Coresets for Compressing Neural Networks with Applications to Generalization Bounds. ICLR (Poster) Cenk Baykal, Lucas Liebenwein, Igor Gilitschenski, Dan Feldman, Daniela Rus
2019	C	`conf`	Deterministic Coresets for Stochastic Matrices with Applications to Scalable Sparse PageRank. TAMC Harry Lang, Cenk Baykal, Najib Abu Samra, Tony Tannous, Dan Feldman, Daniela Rus
2019	A*	`conf`	Fast and Accurate Least-Mean-Squares Solvers. NeurIPS Alaa Maalouf, Ibrahim Jubran, Dan Feldman
2019	J	`jnl`	Fast and Accurate Least-Mean-Squares Solvers. CoRR Alaa Maalouf, Ibrahim Jubran, Dan Feldman
2019	J	`jnl`	Finding Patterns in Signals Using Lossy Text Compression. Algorithms Liat Rozenberg, Sagi Lotan, Dan Feldman
2019	J	`jnl`	Introduction to Coresets: Accurate Coresets. CoRR Ibrahim Jubran, Alaa Maalouf, Dan Feldman
2019	J	`jnl`	On Activation Function Coresets for Network Pruning. CoRR Ben Mussay, Samson Zhou, Vladimir Braverman, Dan Feldman
2019	J	`jnl`	Position Estimation of Moving Objects: Practical Provable Approximation. IEEE Robotics Autom. Lett. Jeryes Danial, Dan Feldman, Ariel Hutterer
2019	J	`jnl`	Provable Approximations for Constrained $\ell_p$ Regression. CoRR Ibrahim Jubran, David Cohn, Dan Feldman
2019	J	`jnl`	Provable Filter Pruning for Efficient Neural Networks. CoRR Lucas Liebenwein, Cenk Baykal, Harry Lang, Dan Feldman, Daniela Rus
2019	J	`jnl`	Real-Time EEG Classification via Coresets for BCI Applications. CoRR Eitan Netzer, Alex Frid, Dan Feldman
2019	J	`jnl`	Secure Data Retrieval on the Cloud: Homomorphic Encryption meets Coresets. IACR Trans. Cryptogr. Hardw. Embed. Syst. Adi Akavia, Dan Feldman, Hayim Shaul
2019	J	`jnl`	SiPPing Neural Networks: Sensitivity-informed Provable Pruning of Neural Networks. CoRR Cenk Baykal, Lucas Liebenwein, Igor Gilitschenski, Dan Feldman, Daniela Rus
2019	—	`conf`	Streaming Coreset Constructions for M-Estimators. APPROX-RANDOM Vladimir Braverman, Dan Feldman, Harry Lang, Daniela Rus
2019	J	`jnl`	Tight Sensitivity Bounds For Smaller Coresets. CoRR Alaa Maalouf, Adiel Statman, Dan Feldman
2019	A*	`conf`	k-Means Clustering of Lines for Big Data. NeurIPS Yair Marom, Dan Feldman
2019	J	`jnl`	k-Means Clustering of Lines for Big Data. CoRR Yair Marom, Dan Feldman
2018	J	`jnl`	Coresets For Monotonic Functions with Applications to Deep Learning. CoRR Elad Tolochinsky, Dan Feldman
2018	J	`jnl`	Data-Dependent Coresets for Compressing Neural Networks with Applications to Generalization Bounds. CoRR Cenk Baykal, Lucas Liebenwein, Igor Gilitschenski, Dan Feldman, Daniela Rus
2018	J	`jnl`	Minimizing Sum of Non-Convex but Piecewise log-Lipschitz Functions using Coresets. CoRR Ibrahim Jubran, Dan Feldman
2018	J	`jnl`	Quadcopter Tracks Quadcopter via Real-Time Shape Fitting. IEEE Robotics Autom. Lett. Dror Epstein, Dan Feldman
2018	J	`jnl`	Scalable Secure Computation of Statistical Functions with Applications to k-Nearest Neighbors. CoRR Hayim Shaul, Dan Feldman, Daniela Rus
2018	J	`jnl`	Secure Data Retrieval On The Cloud Homomorphic Encryption Meets Coresets. IACR Cryptol. ePrint Arch. Adi Akavia, Dan Feldman, Hayim Shaul
2018	A*	`conf`	Secure Search on Encrypted Data via Multi-Ring Sketch. CCS Adi Akavia, Dan Feldman, Hayim Shaul
2018	J	`jnl`	Secure Search via Multi-Ring Fully Homomorphic Encryption. IACR Cryptol. ePrint Arch. Adi Akavia, Dan Feldman, Hayim Shaul
2018	J	`jnl`	Turning Big data into tiny data: Constant-size coresets for k-means, PCA and projective clustering. CoRR Dan Feldman, Melanie Schmidt, Christian Sohler
2017	—	`conf`	Automatic alignment of geographic features in contemporary vector data and historical maps. GeoAI@SIGSPATIAL Weiwei Duan, Yao-Yi Chiang, Craig A. Knoblock, Vinil Jain, Dan Feldman, Johannes H. Uhl, Stefan Leyk
2017	—	`conf`	Cloud computing for big data analytics in the Process Control Industry. MED Ephraim Goldin, Dan Feldman, George K. Georgoulas, Miguel Castaño, George Nikolakopoulos
2017	A*	`conf`	Coresets for Vector Summarization with Applications to Network Graphs. ICML Dan Feldman, Sedat Ozer, Daniela Rus
2017	J	`jnl`	Coresets for Vector Summarization with Applications to Network Graphs. CoRR Dan Feldman, Sedat Ozer, Daniela Rus
2017	—	`conf`	Coresets for differentially private k-means clustering and applications to privacy in mobile sensor networks. IPSN Dan Feldman, Chongyuan Xiang, Ruihao Zhu, Daniela Rus
2017	J	`jnl`	Secure Search on the Cloud via Coresets and Sketches. CoRR Adi Akavia, Dan Feldman, Hayim Shaul
2017	J	`jnl`	Training Gaussian Mixture Models at Scale via Coresets. J. Mach. Learn. Res. Mario Lucic, Matthew Faulkner, Andreas Krause, Dan Feldman
2016	—	`conf`	Dimensionality Reduction of Massive Sparse Datasets Using Coresets. NIPS Dan Feldman, Mikhail Volkov, Daniela Rus
2016	J	`jnl`	New Frameworks for Offline and Streaming Coreset Constructions. CoRR Vladimir Braverman, Dan Feldman, Harry Lang
2015	A*	`conf`	Coresets for visual summarization with applications to loop closure. ICRA Mikhail Volkov, Guy Rosman, Dan Feldman, John W. Fisher III, Daniela Rus
2015	J	`jnl`	Dimensionality Reduction of Massive Sparse Datasets Using Coresets. CoRR Dan Feldman, Mikhail Volkov, Daniela Rus
2015	—	`conf`	Fleye on the car: big data meets the internet of things. IPSN Soliman Nasser, Andew Barry, Marek Doniec, Guy Peled, Guy Rosman, Daniela Rus, Mikhail Volkov, Dan Feldman
2015	J	`jnl`	Low-cost and Faster Tracking Systems Using Core-sets for Pose-Estimation. CoRR Soliman Nasser, Ibrahim Jubran, Dan Feldman
2015	A*	`conf`	More Constraints, Smaller Coresets: Constrained Matrix Approximation of Sparse Big Data. KDD Dan Feldman, Tamir Tassa
2015	J	`jnl`	iDiary: From GPS Signals to a Text- Searchable Diary. ACM Trans. Sens. Networks Dan Feldman, Cynthia R. Sung, Andrew Sugaya, Daniela Rus
2015	J	`jnl`	k-Means for Streaming and Distributed Big Sparse Data. CoRR Artem Barger, Dan Feldman
2014	—	`conf`	Coresets for k-Segmentation of Streaming Data. NIPS Guy Rosman, Mikhail Volkov, Dan Feldman, John W. Fisher III, Daniela Rus
2014	A*	`conf`	Smallest enclosing ball for probabilistic data. SoCG Alexander Munteanu, Christian Sohler, Dan Feldman
2014	A*	`conf`	Visual precis generation using coresets. ICRA Rohan Paul, Dan Feldman, Daniela Rus, Paul Newman
2013	A*	`conf`	K-robots clustering of moving sensors using coresets. ICRA Dan Feldman, Stephanie Gil, Ross A. Knepper, Brian J. Julian, Daniela Rus
2013	J	`jnl`	Learning Big (Image) Data via Coresets for Dictionaries. J. Math. Imaging Vis. Dan Feldman, Micha Feigin, Nir A. Sochen
2013	A*	`conf`	Turning big data into tiny data: Constant-size coresets for SODA Dan Feldman, Melanie Schmidt, Christian Sohler
2013	Misc	`conf`	iDiary: from GPS signals to a text-searchable diary. SenSys Dan Feldman, Andrew Sugaya, Cynthia R. Sung, Daniela Rus
2012	—	`conf`	An effective coreset compression algorithm for large scale sensor networks. IPSN Dan Feldman, Andrew Sugaya, Daniela Rus
2012	A	`conf`	Communication coverage for independently moving robots. IROS Stephanie Gil, Dan Feldman, Daniela Rus
2012	A*	`conf`	Data reduction for weighted and outlier-resistant clustering. SODA Dan Feldman, Leonard J. Schulman
2012	—	`conf`	The single pixel GPS: learning big data signals from tiny coresets. SIGSPATIAL/GIS Dan Feldman, Cynthia R. Sung, Daniela Rus
2012	A	`conf`	Trajectory clustering for motion prediction. IROS Cynthia R. Sung, Dan Feldman, Daniela Rus
2011	J	`jnl`	A Unified Framework for Approximating and Clustering Data CoRR Dan Feldman, Michael Langberg
2011	A*	`conf`	A unified framework for approximating and clustering data. STOC Dan Feldman, Michael Langberg
2011	—	`conf`	From High Definition Image to Low Space Optimization. SSVM Micha Feigin, Dan Feldman, Nir A. Sochen
2011	—	`conf`	Scalable Training of Mixture Models via Coresets. NIPS Dan Feldman, Matthew Faulkner, Andreas Krause
2010	A*	`conf`	Coresets and Sketches for High Dimensional Subspace Approximation Problems. SODA Dan Feldman, Morteza Monemizadeh, Christian Sohler, David P. Woodruff
2010	—	`—`	Coresets and their applications Dan Feldman
2009	A*	`conf`	Private coresets. STOC Dan Feldman, Amos Fiat, Haim Kaplan, Kobbi Nissim
2007	—	`conf`	A PTAS for k-means clustering based on weak coresets. SCG Dan Feldman, Morteza Monemizadeh, Christian Sohler
2007	—	`conf`	Bi-criteria linear-time approximations for generalized k-mean/median/center. SCG Dan Feldman, Amos Fiat, Micha Sharir, Danny Segev
2006	A*	`conf`	Coresets forWeighted Facilities and Their Applications. FOCS Dan Feldman, Amos Fiat, Micha Sharir