Simply put, destructuring in Clojure is a way extract values from a datastructure and bind them to symbols, without having to explicitly traverse the datstructure. It allows for elegant and concise Clojure code.
- Probabilistic Data Structures for Web Analytics and Data Mining : A great overview of the space of probabilistic data structures and how they are used in approximation algorithm implementation.
- Models and Issues in Data Stream Systems
- Philippe Flajolet’s contribution to streaming algorithms : A presentation by Jérémie Lumbroso that visits some of the hostorical perspectives and how it all began with Flajolet
- Approximate Frequency Counts over Data Streams by Gurmeet Singh Manku & Rajeev Motwani : One of the early papers on the subject.
- [Methods for Finding Frequent Items in Data Streams](http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.187.9800&rep=rep1&t
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#!/usr/bin/python | |
# | |
# A simple Motion JPEG server in python for creating "virtual cameras" from video sequences. | |
# | |
# The cameras will support MJPEG streaming over HTTP. The MJPEG streams are formed from static JPEG images. | |
# If you wish to stream a video file, use a tool like VirtualDub to break the video into a sequence of JPEGs. | |
# | |
# The list of cameras should be defined as a series of entries in a file named 'mjpeg-server.conf', with | |
# each entry having the following format: |