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来自专栏码匠的流水账
聊聊flink的Sliding Window
序本文主要研究一下flink的Sliding Window SlidingEventTimeWindows flink-streaming-java_2.11-1.7.0-sources.jar! of静态工厂方法，可以指定size、slide及offset参数，它对于传入的offset参数转为毫秒然后与slide.toMilliseconds()取余作为最后的offset值小结 flink的Sliding getDefaultTrigger返回的是EventTimeTrigger，而后者返回的是ProcessingTimeTrigger；前者isEventTime方法返回的为true，而后者返回的为false doc Sliding
1K30发布于 2019-01-23
来自专栏Some studies in imgs
Search for the filling range based on the sliding window
Sliding search in the X direction (the brown area)3. Within the brown area, perform a sliding search in the Y direction (the yellow area)4.
11910编辑于 2025-10-17
来自专栏XINDOO的专栏
poj 2823 Sliding Window
让你设计一个队列，是其求里面最大值的时间复杂度尽可能的低，但这个队列除了最大值外，就是一个普通的队列，该怎么进出还是怎么进出，并不是优先队列。
41310发布于 2021-01-21
来自专栏LeetCode
239.Sliding Window Maximum
一、239.Sliding Window Maximum Given an array nums, there is a sliding window of size k which is moving Each time the sliding window moves right by one position. Return the max sliding window.
73500发布于 2019-02-24
来自专栏皮皮星球
Sliding Window Maximum
Sliding Window Maximum Given an array nums, there is a sliding window of size k which is moving from Each time the sliding window moves right by one position. Return the max sliding window.
39510发布于 2020-09-23
来自专栏Reck Zhang
LeetCode 0239 - Sliding Window Maximum
Sliding Window Maximum Desicription Given an array nums, there is a sliding window of size k which is Each time the sliding window moves right by one position. Return the max sliding window.
28510发布于 2021-08-11
来自专栏码匠的流水账
聊聊flink的Sliding Window
序本文主要研究一下flink的Sliding Window Screen-Shot-2016-05-06-at-16.44.38-700x361.png SlidingEventTimeWindows of静态工厂方法，可以指定size、slide及offset参数，它对于传入的offset参数转为毫秒然后与slide.toMilliseconds()取余作为最后的offset值小结 flink的Sliding getDefaultTrigger返回的是EventTimeTrigger，而后者返回的是ProcessingTimeTrigger；前者isEventTime方法返回的为true，而后者返回的为false doc Sliding
1.7K50发布于 2019-01-03
来自专栏皮皮星球
Sliding Window - 76. Minimum Window Substring
思路：这是一道经典的sliding window的题目，题目意思是给定两个字符串，字符串S如果包含另一个字符串T的所有字符，那么就返回这个包含T所有字符的最小字符串。
1.4K10发布于 2020-09-23
来自专栏眯眯眼猫头鹰的小树杈
Sliding Window Median
Examples: [2,3,4] , the median is 3 [2,3], the median is (2 + 3) / 2 = 2.5 Given an array nums, there is a sliding Each time the sliding window moves right by one position. 3 1 3 -1 -3 [5 3 6] 7 5 1 3 -1 -3 5 [3 6 7] 6 Therefore, return the median sliding
49920发布于 2020-05-11
来自专栏机器学习入门
Sliding Puzzle
Sliding Puzzle 传送门：773. Sliding Puzzle Problem: On a 2x3 board, there are 5 tiles represented by the integers 1 through 5, and
40130发布于 2019-05-26
来自专栏小鹏的专栏
Faster RCNN：RPN，anchor，sliding windows
paper链接：Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks Github源码pyth
2.7K100发布于 2018-01-09
来自专栏计算机视觉与深度学习基础
Sliding Window Maximum
Given an array nums, there is a sliding window of size k which is moving from the very left of the array Each time the sliding window moves right by one position. 5 1 3 -1 -3 [5 3 6] 7 6 1 3 -1 -3 5 [3 6 7] 7 Therefore, return the max sliding
62450发布于 2018-01-12
来自专栏掘金安东尼
温故知新 —— Sliding Window
[5, 7, 1, 4, 3] 是第一组 5 个连续元素，求和是 20，[7, 1, 4, 3, 6] 是第二组 5 个连续元素，求和是 21......这样一直进行下去，最终对比发现 5 个连续元素的最大和是 24，由 [4, 3, 6, 2, 9] 组成；
42720编辑于 2022-09-19
来自专栏JNing的专栏
深度学习: sliding window (滑动窗口)
Introduce sliding window (滑动窗口) 在深度学习中得到了极其广泛的运用。从卷积层到池化层，都能看见它的身影。
4.7K30发布于 2018-09-27
来自专栏饶文津的专栏
【POJ 2823】Sliding Window（单调队列堆）
单调队列或堆。入队的条件是当前的进入了滑窗范围。出队的条件是当前不在滑窗范围。
30310发布于 2020-06-02
来自专栏算法修养
Sliding Window Maximum(Hard)
题意：在一个固定长度的滑动窗口里，计算窗口里的最大值，并且这个滑动窗口每次移动一个。
39820发布于 2020-03-06
来自专栏MiningAlgorithms
Data Structures and Algorithms Basics（014）：Sliding Window
Sliding Window 目录： 1,删除重复元素 2,删除后，重复值不超过两个 3,删除元素 4,最大均值子数组 5,最长连续递增子序列 6,最短子数组之和 7,实现strStr()函数 8,子数组乘积小于 char_dict[char] = char_dict.get(char, 0) + 1 # track count of chars # decrease the size of sliding window until you have k unique chars in sliding window while len(char_dict) > k:
49820发布于 2019-08-08
来自专栏皮皮星球
Sliding Window - 395. Longest Substring with At Least K Repeating Characters
395. Longest Substring with At Least K Repeating Characters
60010发布于 2020-09-23
来自专栏皮皮星球
Sliding Window - 30. Substring with Concatenation of All Words
30. Substring with Concatenation of All Words
40520发布于 2020-09-23
来自专栏方亮
0基础学习PyFlink——个数滑动窗口（Sliding Count Windows）
滑动（Sliding）和滚动（Tumbling）的区别正如其名，“滑动”是指这个窗口沿着一定的方向，按着一定的速度“滑行”。 # reducing windows_size = 2 sliding_size = 1 reduced=keyed.count_window(windows_size, sliding_size = 1 reduced=keyed.count_window(windows_size, sliding_size) \ .apply(SumWindowFunction = 2 reduced=keyed.count_window(windows_size, sliding_size) \ .apply(SumWindowFunction # reducing windows_size = 3 sliding_size = 3 reduced=keyed.count_window(windows_size, sliding_size
48120编辑于 2023-11-01

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聊聊flink的Sliding Window

Search for the filling range based on the sliding window

poj 2823 Sliding Window

239.Sliding Window Maximum

Sliding Window Maximum

LeetCode 0239 - Sliding Window Maximum

聊聊flink的Sliding Window

Sliding Window - 76. Minimum Window Substring

Sliding Window Median

Sliding Puzzle

Faster RCNN：RPN，anchor，sliding windows

Sliding Window Maximum

温故知新 —— Sliding Window

深度学习: sliding window (滑动窗口)

【POJ 2823】Sliding Window（单调队列堆）

Sliding Window Maximum(Hard)

Data Structures and Algorithms Basics（014）：Sliding Window

Sliding Window - 395. Longest Substring with At Least K Repeating Characters

Sliding Window - 30. Substring with Concatenation of All Words

0基础学习PyFlink——个数滑动窗口（Sliding Count Windows）

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