|
|
|
|
|
Xin Yao, Juan Yu, Jianmin Han, Jianfeng Lu, Hao Peng, Yijia Wu and Xiaoqian Cao
Generating differentially private synthetic human mobility trajectories from real trajectories is a commonly used approach for privacy-preserving trajectory publishing. However, existing synthetic trajectory generation methods suffer from the drawbacks o...
ver más
|
|
|
|
|
|
|
|
|
|
|
Sinead A. Williamson and Jette Henderson
Understanding how two datasets differ can help us determine whether one dataset under-represents certain sub-populations, and provides insights into how well models will generalize across datasets. Representative points selected by a maximum mean discrep...
ver más
|
|
|
|
|
|
|
|
|
|
|
Dror Epstein and Dan Feldman
We suggest a provable and practical approximation algorithm for fitting a set P of n points in Rd" role="presentation">R??Rd
R
d
to a sphere. Here, a sphere is represented by its center x∈Rd" role="presentation">???R??x?Rd
x
?
R
d
and radius...
ver más
|
|
|
|
|
|
|
|
|
|
|
Artem Barger and Dan Feldman
Let P be a set of n points in R??
R
d
, ??=1
k
=
1
be an integer and ???(0,1)
e
?
(
0
,
1
)
be a constant. An e-coreset is a subset ?????
C
?
P
with appropriate non-negative weights (scalars), that approximates any given set ???R??
Q
?
R
d
of k cente...
ver más
|
|
|
|
|
|