- 博客(0)
- 资源 (6)
- 收藏
- 关注
libstdc++.so.6.26.zip
最近安装的程序报错,诸如version `CXXABI_1.3.8' not found。网上查了一圈积分都没找到下载的,csdn的资源要么积分太贵要么大小不太正常,所以补发一个。可以用strings /usr/lib64/libstdc++.so.6 | grep GLIBC等命令查询对比。
2019-12-04
Semi-global weighted least
Solving the global method of Weighted Least Squares
(WLS) model in image filtering is both time- and memory-
consuming. In this paper, we present an alternative ap-
proximation in a time- and memory- efficient manner which
is denoted as Semi-Global Weighed Least Squares (SG-
WLS). Instead of solving a large linear system, we pro-
pose to iteratively solve a sequence of subsystems which
are one-dimensional WLS models. Although each subsys-
tem is one-dimensional, it can take two-dimensional neigh-
borhood information into account due to the proposed spe-
cial neighborhood construction. We show such a desirable
property makes our SG-WLS achieve close performance to
the original two-dimensional WLS model but with much
less time and memory cost. While previous related meth-
ods mainly focus on the 4-connected/8-connected neighbor-
hood system, our SG-WLS can handle a more general and
larger neighborhood system thanks to the proposed fast so-
lution. We show such a generalization can achieve better
performance than the 4-connected/8-connected neighbor-
hood system in some applications. Our SG-WLS is 20
times faster than the WLS model. For an image of M × N,
the memory cost of SG-WLS is at most at the magnitude of
max{ 1
M , 1
N } of that of the WLS model. We show the effec-
tiveness and efficiency of our SG-WLS in a range of appli-
cations.
2017-12-14
空空如也
TA创建的收藏夹 TA关注的收藏夹
TA关注的人