Publications related to Distance transformations: fast algorithms and applications to medical image processing

Additive Combinatorics and Discrete Logarithm Based Range Protocols

We show how to express an arbitrary integer interval

I = [0, H]

as a sumset

I = \sum_{i=1}^\ell G_i * [0, u - 1] + [0, H']

of smaller integer intervals for some small values

\ell

,

u

, and

H' < u - 1

, where

b * A = \{b a : a \in A\}

and $A + B = ...

Springer2010

Subclass error correcting output codes using fisher's linear discriminant ratio

Nikolaos Arvanitopoulos Darginis

Error-Correcting Output Codes (ECOC) with subclasses reveal a common way to solve multi-class classification problems. According to this approach, a multiclass problem is decomposed into several binary ones based on the maximization of the mutual informati ...

2010

Mutual information measures for subclass error-correcting output codes classification

Nikolaos Arvanitopoulos Darginis

Error-Correcting Output Codes (ECOCs) reveal a common way to model multi-class classification problems. According to this state of the art technique, a multi-class problem is decomposed into several binary ones. Additionally, on the ECOC framework we can a ...

2010

Coping with low modulation in speckle interferometry: a novel approach based on the Delaunay triangulation

Pierre Jacquot, Sébastien Equis

Interferometric signals involving speckle waves invariably exhibit phase indeterminations. These indeterminations arise at the zero-intensities of the speckle fields, or singularities, and show themselves as a net loss of modulation depth of the interferom ...

Spie-Int Soc Optical Engineering, Po Box 10, Bellingham, Wa 98227-0010 Usa2010

Robust Duplicate Detection of 2D and 3D Objects

Touradj Ebrahimi, Jong Seok Lee, Lutz Goldmann, Ivan Ivanov, Péter Vajda

In this paper, we analyze our graph-based approach for 2D and 3D object duplicate detection in still images. A graph model is used to represent the 3D spatial information of the object based on the features extracted from training images so that an explici ...

2010

Refined quorum systems

Rachid Guerraoui, Marko Vukolic

It is considered good distributed computing practice to devise object implementations that tolerate contention, periods of asynchrony and a large number of failures, but perform fast if few failures occur, the system is synchronous and there is no contenti ...

2010

Sampling-aware Polar Descriptors on the Sphere

Pascal Frossard, Zafer Arican

We present a new descriptor and feature matching solution for omnidirectional images. The descriptor builds on the log-polar planar descriptors, but adapts to the specific geometry and non-uniform sampling density of spherical images. We further propose a ...

2010

A mathematical model of neural axons based on metric induced by Hamilton-Jacobi equation

Alessandro Daducci

Diffusion MRI is a magnetic resonance imaging (MRI) method producing images of biological tissues weighted with the local characteristics of water diffusion. In our case we are concerned with neural axons of white matter in the brain. Diffusion through thi ...

2010

On the benefits of vector network coding

Christina Fragouli, Javad Ebrahimi Boroojeni

In vector network coding, the source multi- casts information by transmitting vectors of length L, while intermediate nodes process and combine their incoming packets by multiplying them with L × L coding matrices that play a similar role as coding coeffic ...

2010

Method for displaying field e.g. tumor, of brain of human patient during surgery of brain, involves acquiring topography data representing topography of field, where output image is displayed based on topography data

Theo Lasser, Marcel Leutenegger, Antonio Lopez, Erica Martin-Williams

NOVELTY - The method involves illuminating a field (11) of brain (13) of a patient for acquiring an image sequence of the field. The field is illuminated after stimulating the patient for acquiring another image sequence. The image sequences are evaluated ...

2010

Distance transformations: fast algorithms and applications to medical image processing

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Additive Combinatorics and Discrete Logarithm Based Range Protocols

Subclass error correcting output codes using fisher's linear discriminant ratio

Mutual information measures for subclass error-correcting output codes classification

Coping with low modulation in speckle interferometry: a novel approach based on the Delaunay triangulation

Robust Duplicate Detection of 2D and 3D Objects

Refined quorum systems

Sampling-aware Polar Descriptors on the Sphere

A mathematical model of neural axons based on metric induced by Hamilton-Jacobi equation

On the benefits of vector network coding

Method for displaying field e.g. tumor, of brain of human patient during surgery of brain, involves acquiring topography data representing topography of field, where output image is displayed based on topography data

Coping with low modulation in speckle interferometry: a novel approach based on the Delaunay triangulation

On the benefits of vector network coding

Mutual information measures for subclass error-correcting output codes classification

Method for displaying field e.g. tumor, of brain of human patient during surgery of brain, involves acquiring topography data representing topography of field, where output image is displayed based on topography data

Additive Combinatorics and Discrete Logarithm Based Range Protocols

Subclass error correcting output codes using fisher's linear discriminant ratio

Robust Duplicate Detection of 2D and 3D Objects

Refined quorum systems

Sampling-aware Polar Descriptors on the Sphere

A mathematical model of neural axons based on metric induced by Hamilton-Jacobi equation