The diffusion maps embedding of data lying on a manifold have shown succ...
Graph Laplacian based algorithms for data lying on a manifold have been
...
Particle picking is currently a critical step in the cryo-electron micro...
Out-of-sample extension is an important task in various kernel based
non...
Particle picking is currently a critical step in the cryo-EM single part...
Principal components analysis (PCA) is a fundamental algorithm in data
a...
We consider the problem of estimating the covariance matrix of a random
...
In recent years, there is a growing need for processing methods aimed at...
One of the challenges in single particle reconstruction in cryo-electron...
In recent years, improvements in various scientific image acquisition
te...
The field of cryo-electron microscopy has made astounding advancements i...
This paper describes a fast and accurate method for obtaining steerable
...
The input data features set for many data driven tasks is high-dimension...
In this paper we construct a learning architecture for high dimensional ...
Cryo-electron microscopy nowadays often requires the analysis of hundred...
We present a method for improving a Non Local Means operator by computin...