The sliding window is called a kernel, filter, or feature detector.
Flow control would be done by using sliding windows and acknowledgments(acks).
The sliding window is called a kernel, filter, or feature detector.
Sliding windows are also called gliding windows..Combinations with other parts of speech
As with all sliding window protocols, the protocol has a window size.
TCP Sliding Window and Congestion Control.
The density within the sliding window is proportional to the number of points inside it.
This is what it looks like at one sliding window location:.
That means a sliding window could overlap with another window..
TCP uses a sliding window mechanism for implementing flow control.
Flow Control is managed using the concept of a Sliding Window.
Flow control is provided by using a sliding window mechanism.
Each time the sliding window moves right by one position.
So this is the sliding window.
TCP uses what is called a sliding window protocol.
This mechanism is usually called the sliding window mechanism.
TCP is a sliding window protocol with time-out and retransmits.
The size of the actual sliding window used is the sum of these two windows..例如,您可能希望执行滑动窗口分析,从而确定前5分钟内购买的最热门股票。
For example, you might want to perform a sliding window analysis where you determine the most popular stock purchased in the last 5 minutes.在这个示例中,他们演示了如何使用遥感数据与滑动窗口找到那些在15秒的窗口期间内出现多次故障的设备。
In the demo, they showed using the telemetry data and sliding windows find devices that have multiple failures in a 15-second window..这些分类器使用级联的多尺度滑动窗口进行评估,并在负分类的情况下提前下降。
These classifiers are assessed with a multi-scale sliding window in cascade and dropped early in case of a negative classification.传统上,这已经可以通过使用不同尺寸的滑动窗口来解决,这是简单但非常低效的。
Traditionally this has been solved with using sliding windows of different sizes, which is simple but very inefficient.高度或区域大小可能会有所不同,但一次滑动窗口超过2-5个字是典型的。
The height, or region size, may vary, but sliding windows over 2-5 words at a time is typical.你的任务是得到滑动窗口在每个位置时的最大值和最小值。
Your task is to determine the maximum and minimum values in the sliding window at each position.
The density within the sliding window is proportional to the number of points inside it.SparkStreaming可以立即恢复丢失的工作和操作员状态(例如,滑动窗口),而无需任何额外的代码.
Spark Streaming recovers both lost work and operator state(e.g. sliding windows) out of the box, without any extra code on your part.然后,每个滑动窗口的预期输出是窗口结束后的时间步长。
The expected output of each sliding window is then the timestep after the end of the window..