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Summary of feature extraction for behavioral recognitionSummaryHuman behavior recognition is at the stage of motion recognition, and action recognition can be regarded as the combination of feature extraction and classifier design. The feature
Originally from: http://blog.csdn.net/u010402786/article/details/51682917First, the bookDeep Learning (2015)Bengio: http://www.deeplearningbook.org/
Second, the theory1. Extracting knowledge in a neural networkDistilling the knowledge in a
Turn from: https://github.com/sujiongming/awesome-video-understanding
Awesome Video Understanding
Understanding video:perceiving Dynamic actions could is a huge advance in how software makes to the world. (from MIT Technology Review December 6, 2017)
According to my project practice, there are mainly several key points:
1: Static tree support, that is, all the data loaded to the client at a one-time.2: Asynchronous tree, that is, only one level or several levels of nodes are loaded at a time,
Good memory is not as bad as writing, has always been only written to learn the habit of notes, has never written a blog. Now it is an honor to join the Zhejiang University Student AI Association, determined to follow the excellent teachers and
Paper Address: squeezenetThesis translation: Mu LingTime: November 2016.Article connection: http://blog.csdn.net/u014540717 1 quotes and motives
The recent research on deep convolution neural Networks (CNN) focuses on improving the accuracy of
Sys
SYS module is an interface that interacts with the Python interpreter
SYS.ARGV command line argument list, the first element is the path of the program itselfSys.exit (n) exit program, Exit normally on exit (0), error exit Sys.exit (
Operating System Reading Report-Introduction to Real-Time Linux
Feifei (98132194)
Abstract: This article makes a simple analysis on a real-time Linux instance nmt rt-Linux, and points out the role of Linux in general real-time operating
This series of articles by the @yhl_leo produced, reproduced please indicate the source.
Article Link: http://blog.csdn.net/yhl_leo/article/details/51736830
Noisy Activation Functions is a new paper on activation function published by
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