- 629IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, VOL. 12. NO. 7. JULY 1990 Scale-Space and Edge Detection Using Anisotropic
- submitted to Special Issue on Analysis of Historical Documents, International Journal on Document Analysis and Recognition, Springer, 2006.
- Geometric Pattern Matching in dDimensional Space \Lambda
- Improved Algorithms for Placing Undesirable Matthew J. Katz, Klara Kedem and Michael Segal
- Walking Around Fat Obstacles # L. Paul Chew 1 , Haggai David 2 , Matthew J. Katz 2 and Klara Kedem 1,2
- Discrete Rectilinear 2Center Problems # Matthew J. Katz 1 , Klara Kedem 1,2 and Michael Segal 1
- Features for Word Spotting in Historical Manuscripts Toni M. Rath and R. Manmatha
- Global and Local Shape Prior for Variational Segmentation of Degraded Historical Characters
- Fast Detection of Common Geometric Substructure in Proteins L. Paul Chew
- ARTICLE IN PRESS UNCORRECTEDPROOF
- Unit-Vector RMS (URMS) as a Tool to Analyze Molecular Dynamics Trajectories
- Digital Image processing Image segmentation
- ON THE COMBINED FORWARD AND BACKWARD ANISOTROPIC DIFFUSION SCHEME FOR THE MULTISPECTRAL IMAGE ENHANCEMENT
- Word Image Matching Using Dynamic Time Warping Toni M. Rath and R. Manmatha
- Local gradient histogram features for word spotting in unconstrained handwritten documents
- Determining Similarity of Conformational Polymorphs ?
- Pattern Recognition 43 (2010) 153 --159 Contents lists available at ScienceDirect
- Classification of Hebrew Calligraphic Handwriting Styles: Preliminary Itay Bar Yosef1
- CCCG 2007, Ottawa, Ontario, August 20{22, 2007 Exact and approximate Geometric Pattern Matching for point sets in the
- A new library of surface patches -design and applications Roi Gamliel1
- Line segmentation for degraded handwritten historical documents Itay Bar-Yosef, Nate Hagbi, Klara Kedem
- Fast and Accurate Skew Estimation Based on Distance Transform Itay Bar-Yosef, Nate Hagbi, Klara Kedem
- ARTICLE IN PRESS Pattern Recognition ( ) --
- Optimal Facility Location under Various Distance Functions # Sergei Bespamyatnikh 1 , Klara Kedem 2,3 and Michael Segal 2
