Segmentation by minimum length encoding. - Daniel Keren; Ruth Marcus; Michael Werman; Shmuel Peleg (ICPR (1), 1990)

Variations on regularization. - Daniel Keren; Michael Werman (ICPR (1), 1990)

Probabilistic analyses of interpolation in computer vision (נתוח הסתברותי של אינטרפולציה בעבוד תמונות.). - Daniel Keren (1990)

Robust object recognition based on implicit algebraic curves and surfaces. - Daniel Keren; Jayashree Subrahmonia; David B. Cooper (CVPR, 1992)

Integrating Algebraic Curves and Surfaces, Algebraic Invariants and Bayesian Methods for 2D and 3D Object Recognition. - Daniel Keren; Jayashree Subrahmonia; David B. Cooper (Applications of Invariance in Computer Vision, 1993)

Computing correspondence based on regions and invariants without feature extraction and segmentation. - Chi-Yin Lee; David B. Cooper; Daniel Keren (CVPR, 1993)

Recognizing mice, vegetables and hand printed characters based on implicit polynomials, invariants and Bayesian methods. - Jayashree Subrahmonia; Daniel Keren; David B. Cooper (ICCV, 1993)

Probabilistic Analysis of Regularization. - Daniel Keren; Michael Werman (IEEE Trans. Pattern Anal. Mach. Intell., 1993)

Recognising groups of curves based on new affine mutual geometric invariants, with applications to recognizing intersecting roads in aerial images. - Meir Barzohar; Daniel Keren; David B. Cooper (ICPR (1), 1994)

A Bayesian framework for regularization. - Daniel Keren; Michael Werman (ICPR (3), 1994)

Using Symbolic Computation to Find Algebraic Invariants. - Daniel Keren (IEEE Trans. Pattern Anal. Mach. Intell., 1994)

Describing Complicated Objects by Implicit Polynomials. - Daniel Keren; David B. Cooper; Jayashree Subrahmonia (IEEE Trans. Pattern Anal. Mach. Intell., 1994)

Computationally fast Bayesian recognition of complex objects based on mutual algebraic invariants. - Zhibin Lei; Daniel Keren; David B. Cooper (ICIP, 1995)

Practical Reliable Bayesian Recognition of 2D and 3D Objects Using Implicit Polynomials and Algebraic Invariants. - Jayashree Subrahmonia; David B. Cooper; Daniel Keren (IEEE Trans. Pattern Anal. Mach. Intell., 1996)

Recognizing Surfaces from 3D Curves. - Daniel Keren; Ehud Rivlin; Ilan Shimshoni; Isaac Weiss (ICIP (3), 1998)

Recognizing Surfaces Using Curve Invariants and Differential Properties of Curves and Surfaces. - Daniel Keren; Ehud Rivlin; Ilan Shimshoni; Isaac Weiss (ICRA, 1998)

Tight Fitting of Convex Polyhedral Shapes. - Craig Gotsman; Daniel Keren (Int. J. Shape Model., 1998)

Denoising Color Images Using Regularization and "Correlation Terms". - Daniel Keren; Anna Gotlib (J. Vis. Commun. Image Represent., 1998)

A Novel Bayesian Method for Fitting Parametric and Non-Parametric Models to Noisy Data. - Michael Werman; Daniel Keren (CVPR, 1999)

A Full Bayesian Approach to Curve and Surface Reconstruction. - Daniel Keren; Michael Werman (J. Math. Imaging Vis., 1999)

Restoring subsampled color images. - Daniel Keren; Margarita Osadchy (Mach. Vis. Appl., 1999)

Fitting Curves and Surfaces With Constrained Implicit Polynomials. - Daniel Keren; Craig Gotsman (IEEE Trans. Pattern Anal. Mach. Intell., 1999)

Anti-Faces for Detection. - Daniel Keren; Margarita Osadchy; Craig Gotsman (ECCV (1), 2000)

Recognizing 3D Objects Using Tactile Sensing and Curve Invariants. - Daniel Keren; Ehud Rivlin; Ilan Shimshoni; Isaac Weiss (J. Math. Imaging Vis., 2000)

Anti-Sequences: Event Detection by Frame Stacking. - Margarita Osadchy; Daniel Keren; Yaniv Gal (CVPR (2), 2001)

Image Detection Under Varying Illumination and Pose. - Margarita Osadchy; Daniel Keren (ICCV, 2001)

Antifaces: A Novel, Fast Method for Image Detection. - Daniel Keren; Margarita Osadchy; Craig Gotsman (IEEE Trans. Pattern Anal. Mach. Intell., 2001)

A Bayesian Method for Fitting Parametric and Nonparametric Models to Noisy Data. - Michael Werman; Daniel Keren (IEEE Trans. Pattern Anal. Mach. Intell., 2001)

Painter Identification Using Local Features and Naive Bayes. - Daniel Keren (ICPR (2), 2002)

All Points Considered: A Maximum Likelihood Method for Motion Recovery. - Daniel Keren; Ilan Shimshoni; Liran Goshen; Michael Werman (Theoretical Foundations of Computer Vision, 2002)

Recovery of Epipolar Geometry as a Manifold Fitting Problem. - Liran Goshen; Ilan Shimshoni; P. Anandan 001; Daniel Keren (ICCV, 2003)

Recognizing image "style" and activities in video using local features and naive Bayes. - Daniel Keren (Pattern Recognit. Lett., 2003)

Efficient detection under varying illumination conditions and image plane rotations. - Margarita Osadchy; Daniel Keren (Comput. Vis. Image Underst., 2004)

Topologically Faithful Fitting of Simple Closed Curves. - Daniel Keren (IEEE Trans. Pattern Anal. Mach. Intell., 2004)

A rejection-based method for event detection in video. - Margarita Osadchy; Daniel Keren (IEEE Trans. Circuits Syst. Video Technol., 2004)

Analyzing symmetry in biological systems. - David Milner; Hagit Hel-Or; Daniel Keren; Shmuel Raz; Eviatar Nevo (ICIP (1), 2005)

Decision Tree Induction in High Dimensional, Hierarchically Distributed Databases. - Amir Bar-Or; Ran Wolff 001; Assaf Schuster; Daniel Keren (SDM, 2005)

Motion Recovery by Integrating over the Joint Image Manifold. - Liran Goshen; Ilan Shimshoni; P. Anandan 001; Daniel Keren (Int. J. Comput. Vis., 2005)

Hierarchical Decision Tree Induction in Distributed Genomic Databases. - Amir Bar-Or; Daniel Keren; Assaf Schuster; Ran Wolff 001 (IEEE Trans. Knowl. Data Eng., 2005)

Incorporating the Boltzmann Prior in Object Detection Using SVM. - Margarita Osadchy; Daniel Keren (CVPR (2), 2006)

Spline-Based Robot Navigation. - Evgeni Magid; Daniel Keren; Ehud Rivlin; Irad Yavneh (IROS, 2006)

Multi-Camera Topology Recovery from Coherent Motion. - Zehavit Mandel; Ilan Shimshoni; Daniel Keren (ICDSC, 2007)

Aggregate Threshold Queries in Sensor Networks. - Izchak Sharfman; Assaf Schuster; Daniel Keren (IPDPS, 2007)

A new measure of symmetry and its application to classification of bifurcating structures. - David Milner; Shmuel Raz; Hagit Hel-Or; Daniel Keren; Eviatar Nevo (Pattern Recognit., 2007)

A geometric approach to monitoring threshold functions over distributed data streams. - Izchak Sharfman; Assaf Schuster; Daniel Keren (ACM Trans. Database Syst., 2007)

Shape sensitive geometric monitoring. - Izchak Sharfman; Assaf Schuster; Daniel Keren (PODS, 2008)

Applying Two-Pixel Features to Face Detection. - Ido Nissenboim; Daniel Keren; Michael Werman (SITIS, 2008)

A Probabilistic Method for Point Matching in the Presence of Noise and Degeneracy. - Daniel Keren (J. Math. Imaging Vis., 2009)

3D Surface Reconstruction Using a Generalized Distance Function. - Roi Poranne; Craig Gotsman; Daniel Keren (Comput. Graph. Forum, 2010)

Distributed Threshold Querying of General Functions by a Difference of Monotonic Representation. - Guy Sagy; Daniel Keren; Izchak Sharfman; Assaf Schuster (Proc. VLDB Endow., 2010)

A Geometric Approach to Monitoring Threshold Functions over Distributed Data Streams. - Izchak Sharfman; Assaf Schuster; Daniel Keren (Ubiquitous Knowledge Discovery, 2010)

Top-k vectorial aggregation queries in a distributed environment. - Guy Sagy; Izchak Sharfman; Daniel Keren; Assaf Schuster (J. Parallel Distributed Comput., 2011)

Applying Property Testing to an Image Partitioning Problem. - Igor Kleiner; Daniel Keren; Ilan Newman; Oren Ben-Zwi (IEEE Trans. Pattern Anal. Mach. Intell., 2011)

Hybrid Classifiers for Object Classification with a Rich Background. - Margarita Osadchy; Daniel Keren; Bella Fadida-Specktor (ECCV (5), 2012)

A Probabilistic Approach to Pattern Matching in the Continuous Domain. - Daniel Keren; Michael Werman; Joshua Feinberg (IEEE Trans. Pattern Anal. Mach. Intell., 2012)

Exploiting Graph-theoretic Tools for Matching and Partitioning of Agent Population in an Agent-based Model for Traffic and Transportation Applications. - Daniel Keren; Ansar-Ul-Haque Yasar; Luk Knapen; Sungjin Cho; Tom Bellemans; Davy Janssens; Geert Wets; Assaf Schuster; Izchak Sharfman (ANT/MobiWIS, 2012)

Analysis of the Co-routing Problem in Agent-based Carpooling Simulation. - Luk Knapen; Daniel Keren; Ansar-Ul-Haque Yasar; Sungjin Cho; Tom Bellemans; Davy Janssens; Geert Wets (ANT/MobiWIS, 2012)

Shape Sensitive Geometric Monitoring. - Daniel Keren; Izchak Sharfman; Assaf Schuster; Avishay Livne (IEEE Trans. Knowl. Data Eng., 2012)

Estimating Scalability Issues While Finding an Optimal Assignment for Carpooling. - Luk Knapen; Daniel Keren; Ansar-Ul-Haque Yasar; Sungjin Cho; Tom Bellemans; Davy Janssens; Geert Wets (ANT/SEIT, 2013)

Communication-Efficient Distributed Online Prediction using Dynamic Model Synchronizations. - Mario Boley; Michael Kamp; Daniel Keren; Assaf Schuster; Izchak Sharfman (BD3@VLDB, 2013)

Communication-efficient Outlier Detection for Scale-out Systems. - Moshe Gabel; Daniel Keren; Assaf Schuster (BD3@VLDB, 2013)

Safe-Zones for Monitoring Distributed Streams. - Daniel Keren; Guy Sagy; Amir Abboud; David Ben-David; Izchak Sharfman; Assaf Schuster (BD3@VLDB, 2013)

Sketch-based Geometric Monitoring of Distributed Stream Queries. - Minos N. Garofalakis; Daniel Keren; Vasilis Samoladas (Proc. VLDB Endow., 2013)

Planar shape interpolation with bounded distortion. - Renjie Chen 001; Ofir Weber; Daniel Keren; Mirela Ben-Chen (ACM Trans. Graph., 2013)

Theory and Practice in Large Carpooling Problems. - Irith Ben-Arroyo Hartman; Daniel Keren; Abed Abu Dbai; Elad Cohen; Luk Knapen; Ansar-Ul-Haque Yasar; Davy Janssens (ANT/SEIT, 2014)

Monitoring Distributed, Heterogeneous Data Streams: The Emergence of Safe Zones. - Daniel Keren; Guy Sagy; Amir Abboud; David Ben-David; Assaf Schuster; Izchak Sharfman; Antonios Deligiannakis (ICAA, 2014)

Communication-Efficient Distributed Variance Monitoring and Outlier Detection for Multivariate Time Series. - Moshe Gabel; Assaf Schuster; Daniel Keren (IPDPS, 2014)

Monitoring Distributed Data Streams through Node Clustering. - Maria Barouti; Daniel Keren; Jacob Kogan; Yaakov Malinovsky (MLDM, 2014)

Privacy-Preserving Distributed Stream Monitoring. - Arik Friedman; Izchak Sharfman; Daniel Keren; Assaf Schuster (NDSS, 2014)

Communication-Efficient Distributed Online Prediction by Dynamic Model Synchronization. - Michael Kamp; Mario Boley; Daniel Keren; Assaf Schuster; Izchak Sharfman (ECML/PKDD (1), 2014)

Exploiting graph-theoretic tools for matching in carpooling applications. - 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 (J. Ambient Intell. Humaniz. Comput., 2014)

Geometric Monitoring of Heterogeneous Streams. - Daniel Keren; Guy Sagy; Amir Abboud; David Ben-David; Assaf Schuster; Izchak Sharfman; Antonios Deligiannakis (IEEE Trans. Knowl. Data Eng., 2014)

Latent Fault Detection With Unbalanced Workloads. - Moshe Gabel; Kento Sato; Daniel Keren; Satoshi Matsuoka; Assaf Schuster (EDBT/ICDT Workshops, 2015)

K-hyperplane Hinge-Minimax Classifier. - Margarita Osadchy; Tamir Hazan; Daniel Keren (ICML, 2015)

Monitoring Least Squares Models of Distributed Streams. - Moshe Gabel; Daniel Keren; Assaf Schuster (KDD, 2015)

Scalability issues in optimal assignment for carpooling. - Luk Knapen; Irith Ben-Arroyo Hartman; Daniel Keren; Ansar-Ul-Haque Yasar; Sungjin Cho; Tom Bellemans; Davy Janssens; Geert Wets (J. Comput. Syst. Sci., 2015)

Monitoring Distributed Streams using Convex Decompositions. - Arnon Lazerson; Izchak Sharfman; Daniel Keren; Assaf Schuster; Minos N. Garofalakis; Vasilis Samoladas (Proc. VLDB Endow., 2015)

Recognition Using Hybrid Classifiers. - Margarita Osadchy; Daniel Keren; Dolev Raviv (IEEE Trans. Pattern Anal. Mach. Intell., 2016)

One for All and All for One: Simultaneous Approximation of Multiple Functions over Distributed Streams. - Arnon Lazerson; Moshe Gabel; Daniel Keren; Assaf Schuster (DEBS, 2017)

Monitoring Properties of Large, Distributed, Dynamic Graphs. - Gal Yehuda; Daniel Keren; Islam Akaria (IPDPS, 2017)

Anarchists, Unite: Practical Entropy Approximation for Distributed Streams. - Moshe Gabel; Daniel Keren; Assaf Schuster (KDD, 2017)

Scalable approximate query tracking over highly distributed data streams with tunable accuracy guarantees. - Nikos Giatrakos; Antonios Deligiannakis; Minos N. Garofalakis; Daniel Keren; Vasilis Samoladas (Inf. Syst., 2018)

Lightweight Monitoring of Distributed Streams. - Arnon Lazerson; Daniel Keren; Assaf Schuster (ACM Trans. Database Syst., 2018)

Adaptive Communication Bounds for Distributed Online Learning. - Michael Kamp; Mario Boley; Michael Mock; Daniel Keren; Assaf Schuster; Izchak Sharfman (CoRR, 2019)

LDA classifier monitoring in distributed streaming systems. - Ran Bernstein; Margarita Osadchy; Daniel Keren; Assaf Schuster (J. Parallel Distributed Comput., 2019)

A Distance-Based Scheme for Reducing Bandwidth in Distributed Geometric Monitoring. - Yuval Alfassi; Moshe Gabel; Gal Yehuda; Daniel Keren (ICDE, 2021)

The Non-Tightness of a Convex Relaxation to Rotation Recovery. - Yuval Alfassi; Daniel Keren; Bruce Reznick (Sensors, 2021)

Communication Efficient Algorithms for Bounding and Approximating the Empirical Entropy in Distributed Systems. - Amit Shahar; Yuval Alfassi; Daniel Keren (Entropy, 2022)

A Fast and Reliable Solution to PnP, Using Polynomial Homogeneity and a Theorem of Hilbert. - Daniel Keren; Margarita Osadchy; Amit Shahar (Sensors, 2023)

Efficient Polynomial Sum-Of-Squares Programming for Planar Robotic Arms. - Daniel Keren; Amit Shahar; Roi Poranne (ICRA, 2024)

A practical, fast method for solving sum-of-squares problems for very large polynomials. - Daniel Keren; Margarita Osadchy; Roi Poranne (CoRR, 2024)

Geometric covering using random fields. - Amit Shahar; Daniel Keren; Felipe Goncalves; Gal Yehuda (Theor. Comput. Sci., 2025)