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- Elhanan Elboher, Michael Werman
- 2011 18th IEEE International Conference on Imageâ€¦
- 2011

Non uniform kernels is important for many image processing algorithms. However, for large kernel sizes the filtering can become computationally expensive. We introduce cosine integral images (CII)â€¦ (More)

- Elhanan Elboher, Michael Werman
- IEEE Transactions on Image Processing
- 2013

We present an efficient and noise robust template matching method based on asymmetric correlation (ASC). The ASC similarity function is invariant to affine illumination changes and robust to extremeâ€¦ (More)

- Yogev Brown, Mira Abraham, Sivan Pearl, Majdi M. Kabaha, Elhanan Elboher, Yehuda Tzfati
- Nucleic acids research
- 2007

The telomerase ribonucleoprotein copies a short template within its integral RNA moiety onto eukaryotic chromosome ends, compensating for incomplete replication and degradation. Non-template regionsâ€¦ (More)

In a picture of a bright scene, camera sensor readings may be saturated to a maximal value. This results in loss of variation and color distortion of bright regions in the image. We present anâ€¦ (More)

- Elhanan Elboher, Michael Werman
- 2012 12th International Conference on Intelligentâ€¦
- 2012

This paper presents a simple and efficient method to convolve an image with a Gaussian kernel. The computation is performed in a constant number of operations per pixel using running sums along theâ€¦ (More)

- Stanislava GuniÅ¡ovÃ¡, Elhanan Elboher, +7 authors L'ubomÃr TomÃ¡Å¡ka
- RNA
- 2009

The RNA component of telomerase (telomerase RNA; TER) varies substantially both in sequence composition and size (from approximately 150 nucleotides [nt] to >1500 nt) across species. This dramaticâ€¦ (More)

- Elhanan Elboher, Michael Werman, Yacov Hel-Or
- 2013 IEEE Conference on Computer Vision andâ€¦
- 2013

The graph Laplacian operator, which originated in spectral graph theory, is commonly used for learning applications such as spectral clustering and embedding. In this paper we explore the Laplacianâ€¦ (More)

- Elhanan Elboher
- 2007

In the previous lessons we learned about a probabilistic model which describes biological sequences Hidden Markov Model (HMM).We have also learnt how to evaluate the parameters of a specific HMMby anâ€¦ (More)

- Elhanan Elboher
- 2007

Generally, a network can be represented by a graph: a set V of vertices, and a set E of edges which are pairs (u, v) of vertices in V . Thus, we can use networks in order to describe complexâ€¦ (More)

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