亲爱的维： 展信安。 我正在驶往多利的列车上给你写这封信。当你收到这封信的时候，我应该正好到达多利郊外的那片一望无际的太阳花田。去年我们约定好，要三个人一起去多利寻找属于我们的生活；翼跟我们描述

現実 フルボッコようちえん　by charon 実況者：レトルト Source: 幼稚園児にフルボッコにされる恐怖【フルボッコようちえん】

“那种复杂的、无从推断的行刑机器实际存在于现实中的我的周围，不是比喻，不是寓言。可是这点不仅仅大岛，恐怕谁都理解不了，无论怎么解释。” 合上《海边的卡夫卡》，我长长地舒出一口气。 去外面走走罢。

最近看魔法记录，一不小心倒把小圆从头看了一遍。 感触还是很深。记在另一篇里了。 本篇想讲的，是魔法记录前三集的观感。 画面说得过去，比较想说的是分镜演出。 魔法记录的分镜演出似乎试图走意识流路线

开幕 仔细想想，好像昨天还是2018，今天是2019，明天就是2020了。恍若隔世。一点没错。 因此，2019年个人颁奖典礼，现在开始。（唐突 I beg you 最喜欢的电影 今年最喜欢的电影，提名小丑和辉耀姬，获奖朝花夕誓

Tic-Tac-Toe Online Server Base on the Tic-Tac-Toe Game of CS188, Berkeley, I develop an online version of Tic-Tac-Toe. Now your agent can play with my agent online! I think it is a good way to check whether our agents are optimal

The Question Fish eating fruit on jisuanke Given an undirected acyclic graph G, all possible path P in the graph, calculate: The first taste In the contest, a handsome foriegn teammate conviced me that this problem can be solve using LCA. I tried. And it

Overview Regions with CNN features: Efficient Graph Based Image Segmentation use disjoint set to speed up merge operation Selective Search HOG (Histogram of Oriented Gradient) Multiple criterions (color, texture, size, shape) to merge regions AlexNet/VGG16 R-CNN Notice that many

Useful Materials Distinctive Image Features from Scale-Invariant Keypoints[1] by David G. Lowe. SIFT(Scale-Invariant Feature Transform)[2] on Towards Data Science. The SIFT (Scale Invariant Feature Transform) Detector and Descriptor[3]. Notes Uses DoG (Difference

Types of Noise Additive noise Additive noise is independent from image signal. The image g with nosie can be considered as the sum of ideal image f and noise n.[1] Multiplicative noise Multifplicative noise is often dependent on image signal. The relation of image and