Maximum inner product search (MIPS) over dense and sparse vectors have
p...
Maximum Inner Product Search or top-k retrieval on sparse vectors is
wel...
This paper provides a one-line proof of Frequent Directions (FD) for
ske...
This paper suggests the use of projective clustering based product
quant...
Approximating ranks, quantiles, and distributions over streaming data is...
Approximating quantiles and distributions over streaming data has been
s...
Random projections (RP) are a popular tool for reducing dimensionality w...
This paper defines the notion of class discrepancy for families of funct...
To make deep neural networks feasible in resource-constrained environmen...
We consider the problem of selecting non-zero entries of a matrix A in
o...