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Richard Creamer
three words do not define me
three words do not define me
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Adding this to my reading TODO list, it's right in the middle of my interests envelope.
Metadata vs semantic metadata

Clever piece by +Teodora Petkova that I think is worth calling out specifically for search marketers, as often I think those in our industry fail to understand how "traditional" metadata (think <meta> description) is different from linked data.


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Fyi, ugh!
Redefining full frame with superb resolution and high speed. The D850 is coming soon. 

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Penrose Triangle (or ImpossibleTribar)

The Penrose triangle was first created by the Swedish artist Oscar Reutersvärd in 1934. The psychiatrist Lionel Penrose and his mathematician son Roger Penrose independently devised and popularized it in the 1950s, describing it as "impossibility in its purest form".

It is an impossible object (also known as an impossible figure or an undecidable figure) that is a type of optical illusion. It consists of a two-dimensional figure which is instantly and subconsciously interpreted by the visual system as representing a projection of a three-dimensional object. 2D figure is subconscionsly interpreted as 3D object although such object can not exist.

It is featured prominently in the works of artist M. C. Escher, whose earlier depictions of impossible objects partly inspired it.

Impossible objects are of interest to psychologists, mathematicians and artists without falling entirely into any one discipline.

► Animation source>> http://i.imgur.com/JYDFobl.gifv

Further reading and references

► Impossible object>> https://en.wikipedia.org/wiki/Impossible_object

► Penrose triangle>> https://en.wikipedia.org/wiki/Penrose_triangle

► Optical illusion>> https://en.wikipedia.org/wiki/Optical_illusion


#Mathematics, #Psychology, #Art, #Animation, #Tribar
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Stereo Airplane Photo

Once in a while I like to share a cross-your-eyes 3D stereo photo. Here is one from the San Diego Air and Space Museum at Balboa Park taken several years ago (hand held). Hint: be sure to cross your eyes, do not diverge them. #stereoscopic #3d #airplane #stereophoto #stereophotography
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Helping the Elderly

Several years ago, I sat down one evening and brainstormed this slide. It attempts to provide a high-level overview of an elderly person's home context that allows one to reason about opportunities to improve the health, safety and life in general of the elderly via technology.
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Here is a screenshot of a thumbnail screen from an image processing app I wrote in C# a couple of years ago. It isn't completed because I put this project on the back burner when Adobe dropped its prices, but I may return to this side project one of these days:-) (my photos)

#imageprocessing #software #programming
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Modelling Graph Temporal Properties

In my prior startup, Autogeny, I wanted to model temporal data in node-edge graphs. After some thought, I identified three different categories of temporal properties I wanted to support initially: Sticky, Snapshot, and Versioned. This slide illustrates the above. The simplified triples are based on RDF triples. Thanks for looking! #semantics #semanticweb #graph
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The keylogger is included in a device driver developed by Conexant, a manufacturer of audio chips that are included in the vulnerable HP devices.

One of the device driver components is MicTray64.exe, an executable file that allows the driver to respond when a user presses special keys. It turns out that the file sends all keystrokes to a debugging interface or writes them to a log file available on the computer's C drive.

Affected HP models included HP EliteBooks, HP ProBooks, HP ZBooks, and HP Elites.

Holy shit.

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Idea of the Day - Movie Recommendation

I wonder if any movie recommendation engines use image/pixel and sound similarity metrics to improve recommendations? For instance, action movies with a higher percentage of dark scenes may refine the fairly general genre category, and image histogram shapes may differentiate between complex vs. simple scenes. Similarly, sound category statistics may be useful as well. For instance, gunshots, normal-volume human voices, happy voices, shouting (audio sentiment analysis metrics) and many more. Okay, that's it : -) #ml #machinelearning #recommendationengine #collaborativefiltering
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