10 citations · 17 across the 7 of their papers we have counts for
8 papers
Ensemble of Weak Spectral Total Variation Learners: a PET-CT Case Study
Anna Rosenberg, John Kennedy, Zohar Keidar +2
Solving computer vision problems through machine learning, one often encounters lack of sufficient training data. To mitigate this we propose the use of ensembles of weak learners…
Distortion measure of spectrograms for classification of respiratory diseases
Jeremy Levy, Alexander Naitsat, Yehoshua Y. Zeevi
A new method for the classification of respiratory diseases is presented. The method is based on a novel class of features, extracted from pulmonary sounds, by parameterizing their…
Remote atrial fibrillation burden estimation using deep recurrent neural network
Armand Chocron, Julien Oster, Shany Biton +4
The atrial fibrillation burden (AFB) is defined as the percentage of time spend in atrial fibrillation (AF) over a long enough monitoring period. Recent research has demonstrated t…
Texture and Structure Two-view Classification of Images
Samah Khawaled, Michael Zibulevsky, Yehoshua Y. Zeevi
Textural and structural features can be regraded as "two-view" feature sets. Inspired by the recent progress in multi-view learning, we propose a novel two-view classification meth…
On the Self-Similarity of Natural Stochastic Textures
Samah Khawaled, Yehoshua Y. Zeevi
Self-similarity is the essence of fractal images and, as such, characterizes natural stochastic textures. This paper is concerned with the property of self-similarity in the statis…
Modelling local phase of images and textures with applications in phase denoising and phase retrieval
Ido Zachevsky, Yehoshua Y. Zeevi
The Fourier magnitude has been studied extensively, but less effort has been devoted to the Fourier phase, despite its well-established importance in image representation. Global p…
Geometric approach to sampling and communication
Emil Saucan, Eli Appleboim, Yehoshua Y. Zeevi
Relationships that exist between the classical, Shannon-type, and geometric-based approaches to sampling are investigated. Some aspects of coding and communication through a Gaussi…
Combinatorial Ricci Curvature and Laplacians for Image Processing
Emil Saucan, Eli Appleboilm, Gershon Wolansky +1
A new Combinatorial Ricci curvature and Laplacian operators for grayscale images are introduced and tested on 2D synthetic, natural and medical images. Analogue formulae for voxels…