While solving a geometry problem, I came across an approach called Sliding Window Algorithm. Couldn't really find any study material/details on it. What is the algorithm about?

I submitted this to PyPI. Install with pip install sliding_window, and run with from sliding_window import window.

Sep 26, 2012 · Sliding or Hopping Window: A Sliding or hopping window represents a consistent time interval in the data stream. Sliding windows can overlap, whereas tumbling windows are …

The multiple of 2 makes the sliding window slide 2 units at a time which is necessary for sliding over each tuple. Using numpy array slicing you can pass the sliding window into the flattened …

Jun 22, 2021 · Question: how to train a neural network with input being all sliding windows of width 16 over a 100k x 2k matrix, without wasting memory? The documentation of …

Feb 13, 2022 · Difference between sliding window size and minimum number of calls Asked 3 years, 10 months ago Modified 3 years, 9 months ago Viewed 16k times

Mar 17, 2016 · I read that CNNs (with both convolution and max-pooling layers) are shift-invariant, but most object detection methods used a sliding window detector with non-maximum …

Apr 20, 2021 · I was wondering about the significant difference between 'sliding window' and 'two pointer' problem. It is giving me a hard time to differentiate between the two.

Python Sliding Window on sentence string Asked 8 years, 9 months ago Modified 8 years, 9 months ago Viewed 5k times

Apr 29, 2016 · I have a large pandas dataframe of time-series data. I currently manipulate this dataframe to create a new, smaller dataframe that is rolling average of every 10 rows. i.e. a …