Daniel Keren

Publication Activity (10 Years)

Years Active: 1990-2024
Publications (10 Years): 20

Top Topics

Multivariate Time Series

Outlier Detection

Top Venues

Publications

Daniel Keren, Amit Shahar, Roi Poranne
Efficient Polynomial Sum-Of-Squares Programming for Planar Robotic Arms. ICRA (2024)
Felipe Goncalves, Daniel Keren, Amit Shahar, Gal Yehuda
Geometric Covering using Random Fields. CoRR (2023)
Daniel Keren, Margarita Osadchy, Amit Shahar
A Fast and Reliable Solution to PnP, Using Polynomial Homogeneity and a Theorem of Hilbert. Sensors 23 (12) (2023)
Amit Shahar, Yuval Alfassi, Daniel Keren
Communication Efficient Algorithms for Bounding and Approximating the Empirical Entropy in Distributed Systems. Entropy 24 (11) (2022)
Yuval Alfassi, Daniel Keren, Bruce Reznick
The Non-Tightness of a Convex Relaxation to Rotation Recovery. Sensors 21 (21) (2021)
Yuval Alfassi, Moshe Gabel, Gal Yehuda, Daniel Keren
A Distance-Based Scheme for Reducing Bandwidth in Distributed Geometric Monitoring. ICDE (2021)
Michael Kamp, Mario Boley, Michael Mock, Daniel Keren, Assaf Schuster, Izchak Sharfman
Adaptive Communication Bounds for Distributed Online Learning. CoRR (2019)
Ran Bernstein, Margarita Osadchy, Daniel Keren, Assaf Schuster
LDA classifier monitoring in distributed streaming systems. J. Parallel Distributed Comput. 123 (2019)
Nikos Giatrakos, Antonios Deligiannakis, Minos N. Garofalakis, Daniel Keren, Vasilis Samoladas
Scalable approximate query tracking over highly distributed data streams with tunable accuracy guarantees. Inf. Syst. 76 (2018)
Arnon Lazerson, Daniel Keren, Assaf Schuster
Lightweight Monitoring of Distributed Streams. ACM Trans. Database Syst. 43 (2) (2018)
Gal Yehuda, Daniel Keren, Islam Akaria
Monitoring Properties of Large, Distributed, Dynamic Graphs. IPDPS (2017)
Moshe Gabel, Daniel Keren, Assaf Schuster
Anarchists, Unite: Practical Entropy Approximation for Distributed Streams. KDD (2017)
Arnon Lazerson, Moshe Gabel, Daniel Keren, Assaf Schuster
One for All and All for One: Simultaneous Approximation of Multiple Functions over Distributed Streams. DEBS (2017)
Arnon Lazerson, Daniel Keren, Assaf Schuster
Lightweight Monitoring of Distributed Streams. KDD (2016)
Margarita Osadchy, Daniel Keren, Dolev Raviv
Recognition Using Hybrid Classifiers. IEEE Trans. Pattern Anal. Mach. Intell. 38 (4) (2016)
Arnon Lazerson, Izchak Sharfman, Daniel Keren, Assaf Schuster, Minos N. Garofalakis, Vasilis Samoladas
Monitoring Distributed Streams using Convex Decompositions. Proc. VLDB Endow. 8 (5) (2015)
Margarita Osadchy, Tamir Hazan, Daniel Keren
K-hyperplane Hinge-Minimax Classifier. ICML (2015)
Moshe Gabel, Daniel Keren, Assaf Schuster
Monitoring Least Squares Models of Distributed Streams. KDD (2015)
Moshe Gabel, Kento Sato, Daniel Keren, Satoshi Matsuoka, Assaf Schuster
Latent Fault Detection With Unbalanced Workloads. EDBT/ICDT Workshops (2015)
Luk Knapen, Irith Ben-Arroyo Hartman, Daniel Keren, Ansar-Ul-Haque Yasar, Sungjin Cho, Tom Bellemans, Davy Janssens, Geert Wets
Scalability issues in optimal assignment for carpooling. J. Comput. Syst. Sci. 81 (3) (2015)
Luk Knapen, Ansar-Ul-Haque Yasar, Sungjin Cho, Daniel Keren, Abed Abu Dbai, Tom Bellemans, Davy Janssens, Geert Wets, Assaf Schuster, Izchak Sharfman, Kanishka Bhaduri
Exploiting graph-theoretic tools for matching in carpooling applications. J. Ambient Intell. Humaniz. Comput. 5 (3) (2014)
Maria Barouti, Daniel Keren, Jacob Kogan, Yaakov Malinovsky
Monitoring Distributed Data Streams through Node Clustering. MLDM (2014)
Michael Kamp, Mario Boley, Daniel Keren, Assaf Schuster, Izchak Sharfman
Communication-Efficient Distributed Online Prediction by Dynamic Model Synchronization. ECML/PKDD (1) (2014)
Moshe Gabel, Assaf Schuster, Daniel Keren
Communication-Efficient Distributed Variance Monitoring and Outlier Detection for Multivariate Time Series. IPDPS (2014)
Daniel Keren, Guy Sagy, Amir Abboud, David Ben-David, Assaf Schuster, Izchak Sharfman, Antonios Deligiannakis
Monitoring Distributed, Heterogeneous Data Streams: The Emergence of Safe Zones. ICAA (2014)
Daniel Keren, Guy Sagy, Amir Abboud, David Ben-David, Assaf Schuster, Izchak Sharfman, Antonios Deligiannakis
Geometric Monitoring of Heterogeneous Streams. IEEE Trans. Knowl. Data Eng. 26 (8) (2014)
Irith Ben-Arroyo Hartman, Daniel Keren, Abed Abu Dbai, Elad Cohen, Luk Knapen, Ansar-Ul-Haque Yasar, Davy Janssens
Theory and Practice in Large Carpooling Problems. ANT/SEIT (2014)
Arik Friedman, Izchak Sharfman, Daniel Keren, Assaf Schuster
Privacy-Preserving Distributed Stream Monitoring. NDSS (2014)
Moshe Gabel, Daniel Keren, Assaf Schuster
Communication-efficient Outlier Detection for Scale-out Systems. BD3@VLDB (2013)
Minos N. Garofalakis, Daniel Keren, Vasilis Samoladas
Sketch-based Geometric Monitoring of Distributed Stream Queries. Proc. VLDB Endow. 6 (10) (2013)
Mario Boley, Michael Kamp, Daniel Keren, Assaf Schuster, Izchak Sharfman
Communication-Efficient Distributed Online Prediction using Dynamic Model Synchronizations. BD3@VLDB (2013)
Luk Knapen, Daniel Keren, Ansar-Ul-Haque Yasar, Sungjin Cho, Tom Bellemans, Davy Janssens, Geert Wets
Estimating Scalability Issues While Finding an Optimal Assignment for Carpooling. ANT/SEIT (2013)
Daniel Keren, Guy Sagy, Amir Abboud, David Ben-David, Izchak Sharfman, Assaf Schuster
Safe-Zones for Monitoring Distributed Streams. BD3@VLDB (2013)
Renjie Chen, Ofir Weber, Daniel Keren, Mirela Ben-Chen
Planar shape interpolation with bounded distortion. ACM Trans. Graph. 32 (4) (2013)
Luk Knapen, Daniel Keren, Ansar-Ul-Haque Yasar, Sungjin Cho, Tom Bellemans, Davy Janssens, Geert Wets
Analysis of the Co-routing Problem in Agent-based Carpooling Simulation. ANT/MobiWIS (2012)
Daniel Keren, Michael Werman, Joshua Feinberg
A Probabilistic Approach to Pattern Matching in the Continuous Domain. IEEE Trans. Pattern Anal. Mach. Intell. 34 (10) (2012)
Daniel Keren, Ansar-Ul-Haque Yasar, Luk Knapen, Sungjin Cho, Tom Bellemans, Davy Janssens, Geert Wets, Assaf Schuster, Izchak Sharfman
Exploiting Graph-theoretic Tools for Matching and Partitioning of Agent Population in an Agent-based Model for Traffic and Transportation Applications. ANT/MobiWIS (2012)
Daniel Keren, Izchak Sharfman, Assaf Schuster, Avishay Livne
Shape Sensitive Geometric Monitoring. IEEE Trans. Knowl. Data Eng. 24 (8) (2012)
Margarita Osadchy, Daniel Keren, Bella Fadida-Specktor
Hybrid Classifiers for Object Classification with a Rich Background. ECCV (5) (2012)
Guy Sagy, Izchak Sharfman, Daniel Keren, Assaf Schuster
Top-k vectorial aggregation queries in a distributed environment. J. Parallel Distributed Comput. 71 (2) (2011)
Igor Kleiner, Daniel Keren, Ilan Newman, Oren Ben-Zwi
Applying Property Testing to an Image Partitioning Problem. IEEE Trans. Pattern Anal. Mach. Intell. 33 (2) (2011)
Guy Sagy, Daniel Keren, Izchak Sharfman, Assaf Schuster
Distributed Threshold Querying of General Functions by a Difference of Monotonic Representation. Proc. VLDB Endow. 4 (2) (2010)
Roi Poranne, Craig Gotsman, Daniel Keren
3D Surface Reconstruction Using a Generalized Distance Function. Comput. Graph. Forum 29 (8) (2010)
Daniel Keren
A Probabilistic Method for Point Matching in the Presence of Noise and Degeneracy. J. Math. Imaging Vis. 33 (3) (2009)
Ido Nissenboim, Daniel Keren, Michael Werman
Applying Two-Pixel Features to Face Detection. SITIS (2008)
Izchak Sharfman, Assaf Schuster, Daniel Keren
Shape sensitive geometric monitoring. PODS (2008)
Zehavit Mandel, Ilan Shimshoni, Daniel Keren
Multi-Camera Topology Recovery from Coherent Motion. ICDSC (2007)
Izchak Sharfman, Assaf Schuster, Daniel Keren
Aggregate Threshold Queries in Sensor Networks. IPDPS (2007)
David Milner, Shmuel Raz, Hagit Hel-Or, Daniel Keren, Eviatar Nevo
A new measure of symmetry and its application to classification of bifurcating structures. Pattern Recognit. 40 (8) (2007)
Izchak Sharfman, Assaf Schuster, Daniel Keren
A geometric approach to monitoring threshold functions over distributed data streams. ACM Trans. Database Syst. 32 (4) (2007)
Margarita Osadchy, Daniel Keren
Incorporating the Boltzmann Prior in Object Detection Using SVM. CVPR (2) (2006)
Evgeni Magid, Daniel Keren, Ehud Rivlin, Irad Yavneh
Spline-Based Robot Navigation. IROS (2006)
Izchak Sharfman, Assaf Schuster, Daniel Keren
A geometric approach to monitoring threshold functions over distributed data streams. SIGMOD Conference (2006)
David Milner, Hagit Hel-Or, Daniel Keren, Shmuel Raz, Eviatar Nevo
Analyzing symmetry in biological systems. ICIP (1) (2005)
Amir Bar-Or, Daniel Keren, Assaf Schuster, Ran Wolff
Hierarchical Decision Tree Induction in Distributed Genomic Databases. IEEE Trans. Knowl. Data Eng. 17 (8) (2005)
Liran Goshen, Ilan Shimshoni, P. Anandan, Daniel Keren
Motion Recovery by Integrating over the Joint Image Manifold. Int. J. Comput. Vis. 65 (3) (2005)
Amir Bar-Or, Ran Wolff, Assaf Schuster, Daniel Keren
Decision Tree Induction in High Dimensional, Hierarchically Distributed Databases. SDM (2005)
Margarita Osadchy, Daniel Keren
A rejection-based method for event detection in video. IEEE Trans. Circuits Syst. Video Technol. 14 (4) (2004)
Margarita Osadchy, Daniel Keren
Efficient detection under varying illumination conditions and image plane rotations. Comput. Vis. Image Underst. 93 (3) (2004)
Daniel Keren
Topologically Faithful Fitting of Simple Closed Curves. IEEE Trans. Pattern Anal. Mach. Intell. 26 (1) (2004)
Daniel Keren
Recognizing image "style" and activities in video using local features and naive Bayes. Pattern Recognit. Lett. 24 (16) (2003)
Liran Goshen, Ilan Shimshoni, P. Anandan, Daniel Keren
Recovery of Epipolar Geometry as a Manifold Fitting Problem. ICCV (2003)
Daniel Keren, Ilan Shimshoni, Liran Goshen, Michael Werman
All Points Considered: A Maximum Likelihood Method for Motion Recovery. Theoretical Foundations of Computer Vision (2002)
Daniel Keren
Painter Identification Using Local Features and Naive Bayes. ICPR (2) (2002)
Daniel Keren, Margarita Osadchy, Craig Gotsman
Antifaces: A Novel, Fast Method for Image Detection. IEEE Trans. Pattern Anal. Mach. Intell. 23 (7) (2001)
Margarita Osadchy, Daniel Keren
Image Detection Under Varying Illumination and Pose. ICCV (2001)
Michael Werman, Daniel Keren
A Bayesian Method for Fitting Parametric and Nonparametric Models to Noisy Data. IEEE Trans. Pattern Anal. Mach. Intell. 23 (5) (2001)
Margarita Osadchy, Daniel Keren, Yaniv Gal
Anti-Sequences: Event Detection by Frame Stacking. CVPR (2) (2001)
Daniel Keren, Ehud Rivlin, Ilan Shimshoni, Isaac Weiss
Recognizing 3D Objects Using Tactile Sensing and Curve Invariants. J. Math. Imaging Vis. 12 (1) (2000)
Daniel Keren, Margarita Osadchy, Craig Gotsman
Anti-Faces for Detection. ECCV (1) (2000)
Michael Werman, Daniel Keren
A Novel Bayesian Method for Fitting Parametric and Non-Parametric Models to Noisy Data. CVPR (1999)
Daniel Keren, Michael Werman
A Full Bayesian Approach to Curve and Surface Reconstruction. J. Math. Imaging Vis. 11 (1) (1999)
Daniel Keren, Craig Gotsman
Fitting Curves and Surfaces With Constrained Implicit Polynomials. IEEE Trans. Pattern Anal. Mach. Intell. 21 (1) (1999)
Daniel Keren, Margarita Osadchy
Restoring subsampled color images. Mach. Vis. Appl. 11 (4) (1999)
Daniel Keren, Ehud Rivlin, Ilan Shimshoni, Isaac Weiss
Recognizing Surfaces Using Curve Invariants and Differential Properties of Curves and Surfaces. ICRA (1998)
Daniel Keren, Ehud Rivlin, Ilan Shimshoni, Isaac Weiss
Recognizing Surfaces from 3D Curves. ICIP (3) (1998)
Craig Gotsman, Daniel Keren
Tight Fitting of Convex Polyhedral Shapes. Int. J. Shape Model. 4 (3-4) (1998)
Daniel Keren, Anna Gotlib
Denoising Color Images Using Regularization and "Correlation Terms". J. Vis. Commun. Image Represent. 9 (4) (1998)
Jayashree Subrahmonia, David B. Cooper, Daniel Keren
Practical Reliable Bayesian Recognition of 2D and 3D Objects Using Implicit Polynomials and Algebraic Invariants. IEEE Trans. Pattern Anal. Mach. Intell. 18 (5) (1996)
Zhibin Lei, Daniel Keren, David B. Cooper
Computationally fast Bayesian recognition of complex objects based on mutual algebraic invariants. ICIP (1995)
Daniel Keren, Michael Werman
A Bayesian framework for regularization. ICPR (3) (1994)
Daniel Keren
Using Symbolic Computation to Find Algebraic Invariants. IEEE Trans. Pattern Anal. Mach. Intell. 16 (11) (1994)
Daniel Keren, David B. Cooper, Jayashree Subrahmonia
Describing Complicated Objects by Implicit Polynomials. IEEE Trans. Pattern Anal. Mach. Intell. 16 (1) (1994)
Meir Barzohar, Daniel Keren, David B. Cooper
Recognising groups of curves based on new affine mutual geometric invariants, with applications to recognizing intersecting roads in aerial images. ICPR (1) (1994)
Chi-Yin Lee, David B. Cooper, Daniel Keren
Computing correspondence based on regions and invariants without feature extraction and segmentation. CVPR (1993)
Daniel Keren, Michael Werman
Probabilistic Analysis of Regularization. IEEE Trans. Pattern Anal. Mach. Intell. 15 (10) (1993)
Jayashree Subrahmonia, Daniel Keren, David B. Cooper
Recognizing mice, vegetables and hand printed characters based on implicit polynomials, invariants and Bayesian methods. ICCV (1993)
Daniel Keren, Jayashree Subrahmonia, David B. Cooper
Integrating Algebraic Curves and Surfaces, Algebraic Invariants and Bayesian Methods for 2D and 3D Object Recognition. Applications of Invariance in Computer Vision (1993)
Daniel Keren, Jayashree Subrahmonia, David B. Cooper
Robust object recognition based on implicit algebraic curves and surfaces. CVPR (1992)
Daniel Keren, Ruth Marcus, Michael Werman, Shmuel Peleg
Segmentation by minimum length encoding. ICPR (1) (1990)
Daniel Keren, Michael Werman
Variations on regularization. ICPR (1) (1990)