The k-means is a popular clustering objective, although it is inherently...
In their seminal work, Broder et. al. <cit.> introduces
the minHash algo...
We consider the problem of subset selection for ℓ_p subspace
approximati...
Computing space-efficient summary, or a.k.a. sketches, of large
data, is...
Categorical attributes are those that can take a discrete set of values,...
In this work, we present a dimensionality reduction algorithm, aka.
sket...
We consider the problem of subset selection for ℓ_p subspace
approximati...
Massive biometric deployments are pervasive in today's world. But despit...
The subspace approximation problem with outliers, for given n points in ...
Recent advancement of the WWW, IOT, social network, e-commerce, etc. hav...