Tables are an abundant form of data with use cases across all scientific...
The paper presents an image denoising scheme by combining a method that ...
When presented with a binary classification problem where the data exhib...
Online advertising is a major source of income for many online companies...
Canonical Correlation Analysis (CCA) models can extract informative
corr...
There is a striking relationship between a three hundred years old Polit...
High-dimensional big data appears in many research fields such as image
...
The input data features set for many data driven tasks is high-dimension...
Diffusion Maps framework is a kernel based method for manifold learning ...
In this study we consider learning a reduced dimensionality representati...