| 2009 |
37 | | Daniel Keren:
A Probabilistic Method for Point Matching in the Presence of Noise and Degeneracy.
Journal of Mathematical Imaging and Vision 33(3): 338-346 (2009) |
| 2008 |
36 | | Izchak Sharfman,
Assaf Schuster,
Daniel Keren:
Shape sensitive geometric monitoring.
PODS 2008: 301-310 |
| 2007 |
35 | | Izchak Sharfman,
Assaf Schuster,
Daniel Keren:
Aggregate Threshold Queries in Sensor Networks.
IPDPS 2007: 1-10 |
34 | | Izchak Sharfman,
Assaf Schuster,
Daniel Keren:
A geometric approach to monitoring threshold functions over distributed data streams.
ACM Trans. Database Syst. 32(4): (2007) |
33 | | 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 Recognition 40(8): 2237-2250 (2007) |
| 2006 |
32 | | Margarita Osadchy,
Daniel Keren:
Incorporating the Boltzmann Prior in Object Detection Using SVM.
CVPR (2) 2006: 2095-2101 |
31 | | Evgeni Magid,
Daniel Keren,
Ehud Rivlin,
Irad Yavneh:
Spline-Based Robot Navigation.
IROS 2006: 2296-2301 |
30 | | Izchak Sharfman,
Assaf Schuster,
Daniel Keren:
A geometric approach to monitoring threshold functions over distributed data streams.
SIGMOD Conference 2006: 301-312 |
| 2005 |
29 | | David Milner,
Hagit Hel-Or,
Daniel Keren,
Shmuel Raz,
Eviatar Nevo:
Analyzing symmetry in biological systems.
ICIP (1) 2005: 361-364 |
28 | | Amir Bar-Or,
Ran Wolff,
Assaf Schuster,
Daniel Keren:
Decision Tree Induction in High Dimensional, Hierarchically Distributed Databases.
SDM 2005 |
27 | | Amir Bar-Or,
Daniel Keren,
Assaf Schuster,
Ran Wolff:
Hierarchical Decision Tree Induction in Distributed Genomic Databases.
IEEE Trans. Knowl. Data Eng. 17(8): 1138-1151 (2005) |
26 | | Liran Goshen,
Ilan Shimshoni,
P. Anandan,
Daniel Keren:
Motion Recovery by Integrating over the Joint Image Manifold.
International Journal of Computer Vision 65(3): 131-145 (2005) |
| 2004 |
25 | | Margarita Osadchy,
Daniel Keren:
Efficient detection under varying illumination conditions and image plane rotations.
Computer Vision and Image Understanding 93(3): 245-259 (2004) |
24 | | Margarita Osadchy,
Daniel Keren:
A rejection-based method for event detection in video.
IEEE Trans. Circuits Syst. Video Techn. 14(4): 534-541 (2004) |
23 | | Daniel Keren:
Topologically Faithful Fitting of Simple Closed Curves.
IEEE Trans. Pattern Anal. Mach. Intell. 26(1): 118-123 (2004) |
| 2003 |
22 | | Liran Goshen,
Ilan Shimshoni,
P. Anandan,
Daniel Keren:
Recovery of Epipolar Geometry as a Manifold Fitting Problem.
ICCV 2003: 1321-1328 |
21 | | Daniel Keren:
Recognizing image "style" and activities in video using local features and naive Bayes.
Pattern Recognition Letters 24(16): 2913-2922 (2003) |
| 2002 |
20 | | Daniel Keren:
Painter Identification Using Local Features and Naive Bayes.
ICPR (2) 2002: 474-477 |
19 | | Daniel Keren,
Ilan Shimshoni,
Liran Goshen,
Michael Werman:
All Points Considered: A Maximum Likelihood Method for Motion Recovery.
Theoretical Foundations of Computer Vision 2002: 72-85 |
| 2001 |
18 | | Margarita Osadchy,
Daniel Keren,
Yaniv Gal:
Anti-Sequences: Event Detection by Frame Stacking.
CVPR (2) 2001: 46-51 |
17 | | Margarita Osadchy,
Daniel Keren:
Image Detection Under Varying Illumination and Pose.
ICCV 2001: 668-673 |
16 | | Michael Werman,
Daniel Keren:
A Bayesian Method for Fitting Parametric and Nonparametric Models to Noisy Data.
IEEE Trans. Pattern Anal. Mach. Intell. 23(5): 528-534 (2001) |
15 | | Daniel Keren,
Margarita Osadchy,
Craig Gotsman:
Antifaces: A Novel, Fast Method for Image Detection.
IEEE Trans. Pattern Anal. Mach. Intell. 23(7): 747-761 (2001) |
| 2000 |
14 | | Daniel Keren,
Margarita Osadchy,
Craig Gotsman:
Anti-Faces for Detection.
ECCV (1) 2000: 134-148 |
13 | | Daniel Keren,
Ehud Rivlin,
Ilan Shimshoni,
Isaac Weiss:
Recognizing 3D Objects Using Tactile Sensing and Curve Invariants.
Journal of Mathematical Imaging and Vision 12(1): 5-23 (2000) |
| 1999 |
12 | | Michael Werman,
Daniel Keren:
A Novel Bayesian Method for Fitting Parametric and Non-Parametric Models to Noisy Data.
CVPR 1999: 2552-2558 |
11 | | Daniel Keren,
Craig Gotsman:
Fitting Curves and Surfaces With Constrained Implicit Polynomials.
IEEE Trans. Pattern Anal. Mach. Intell. 21(1): 31-41 (1999) |
10 | | Daniel Keren,
Michael Werman:
A Full Bayesian Approach to Curve and Surface Reconstruction.
Journal of Mathematical Imaging and Vision 11(1): 27-43 (1999) |
9 | | Daniel Keren,
Margarita Osadchy:
Restoring subsampled color images.
Mach. Vis. Appl. 11(4): 197-202 (1999) |
| 1998 |
8 | | Daniel Keren,
Ehud Rivlin,
Ilan Shimshoni,
Isaac Weiss:
Recognizing Surfaces from 3D Curves.
ICIP (3) 1998: 551-555 |
7 | | Daniel Keren,
Ehud Rivlin,
Ilan Shimshoni,
Isaac Weiss:
Recognizing Surfaces Using Curve Invariants and Differential Properties of Curves and Surfaces.
ICRA 1998: 3375-3381 |
| 1996 |
6 | | 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): 505-519 (1996) |
| 1995 |
5 | | Zhibin Lei,
Daniel Keren,
David B. Cooper:
Computationally fast Bayesian recognition of complex objects based on mutual algebraic invariants.
ICIP 1995: 2635-2638 |
| 1994 |
4 | | Daniel Keren,
David B. Cooper,
Jayashree Subrahmonia:
Describing Complicated Objects by Implicit Polynomials.
IEEE Trans. Pattern Anal. Mach. Intell. 16(1): 38-53 (1994) |
3 | | Daniel Keren:
Using Symbolic Computation to Find Algebraic Invariants.
IEEE Trans. Pattern Anal. Mach. Intell. 16(11): 1143-1149 (1994) |
| 1993 |
2 | | 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: 493-510 |
1 | | Daniel Keren,
Michael Werman:
Probabilistic Analysis of Regularization.
IEEE Trans. Pattern Anal. Mach. Intell. 15(10): 982-995 (1993) |