Computer Science Department
Technion - Israel Institute of Technology
Prof. Michael Lindenbaum
- Contact information
- Homepage:
- http://www.cs.technion.ac.il/~mic/
- Email:
- mic
cs.technion.ac.il
- Office:
- 600
- Phone:
- 4331
- Office Hours:
- Monday, 10:30-11:30
- Research interests
- Image processing and Computer Vision, especially the statistical analysis of visual tasks.
- Selected publications
- Lindenbaum, M.
Bounds on Shape Recognition Performance.
IEEE Trans. Pattern Analysis and Machine Intelligence, PAMI-17(7):666-680, 1993 [bibtex]
- Lindenbaum, M.
An integrated Model for Evaluating the Amount of Data Required for Reliable Recognition.
IEEE Trans. Pattern Analysis and Machine Intelligence, 19(11):1251-1264, 1997 [bibtex]
- Amir, A. and Lindenbaum, M.
A Generic Grouping Algorithm and its Quantitative Analysis.
IEEE Trans. Pattern Analysis and Machine Intelligence, 20(2):168-185, 1998 [bibtex]
- Amir, A. and Lindenbaum, M.
Grouping based Non-additive Verification.
IEEE Trans. Pattern Analysis and Machine Intelligence, 20(2):186-192, 1998 [bibtex]
- Lindenbaum, M. and Ben-David, S.
VC-Dimension Analysis of Object Recognition Tasks.
Journal of mathematical Imaging and Vision, 10(1):27-49, 1999 [bibtex]
- I. ~Wagner, M.~Lindenbaum and A.M.~Bruckstein.
Distributed Covering by Ant-Robots using Evaporating Traces.
IEEE Transactions on Robotics and Automation, 15(5):918-933, 1999 [bibtex]
- A.~Levy and M.~Lindenbaum.
Sequential Karhunen-Loeve Basis Extraction and its Application to Images.
IEEE Transactions on Image Processing, 9(8)():1371-1374, 2000 [bibtex]
- I.~Shimshoni, Y.~Moses and M.~Lindenbaum.
Shape Reconstruction of 3D Bilaterally Symmetric Surfaces.
Int. J. of Computer Vision, 39(2):97-110, 2000 [bibtex]
- A. Berengolts and M. Lindenbaum.
On the Performance of Connected Components Grouping.
Int. J. of Computer Vision, 41(3):195-216, 2001 [bibtex]
- Michael Lindenbaum, Shaul Markovitch and Dmitry Rusakov.
Selective Sampling for Nearest Neighbor Classifiers.
to appear in Machine Learning, , [bibtex]
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