"image recognition" entries

Four short links: 27 July 2015

Four short links: 27 July 2015

Google’s Borg, Georgia v. Malamud, SLAM-aware system, and SmartGPA

  1. Large-scale Cluster Management at Google with BorgGoogle’s Borg system is a cluster manager that runs hundreds of thousands of jobs, from many thousands of different applications, across a number of clusters, each with up to tens of thousands of machines. […] We present a summary of the Borg system architecture and features, important design decisions, a quantitative analysis of some of its policy decisions, and a qualitative examination of lessons learned from a decade of operational experience with it.
  2. Georgia Sues Carl Malamud (TechDirt) — for copyright infringement… for publishing an official annotated copy of the state's laws. […] the state points directly to the annotated version as the official laws of the state.
  3. Monocular SLAM Supported Object Recognition (PDF) — a monocular SLAM-aware object recognition system that is able to achieve considerably stronger recognition performance, as compared to classical object recognition systems that function on a frame-by-frame basis. (via Improving Object Recognition for Robots)
  4. SmartGPA: How Smartphones Can Assess and Predict Academic Performance of College Students (PDF) — We show that there are a number of important behavioral factors automatically inferred from smartphones that significantly correlate with term and cumulative GPA, including time series analysis of activity, conversational interaction, mobility, class attendance, studying, and partying.
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Four short links: 18 July 2015

Four short links: 18 July 2015

WebAssembly, Generative Neural Nets, Automated Workplace, and Conversational UIs

  1. WebAssembly (Luke Wagner) — new standard, WebAssembly, that defines a portable, size- and load-time-efficient format and execution model specifically designed to serve as a compilation target for the Web. Being worked on by Mozilla, Google, Microsoft, and Apple.
  2. Inceptionism: Going Deeper into Neural Networks (Google Research) — stunningly gorgeous gallery of images made by using a deep image-classification neural net to make the picture “more.” (So, if the classifier says the pic is of a cat, randomly twiddle pixels until the image classifier says “wow, that matches `cat’ even better!”)
  3. The Automated Workplace (Ben Brown) — What happens if this process is automated using a “bot” in an environment like Slack? — repeat for all business processes. (via Matt Webb)
  4. Conversational UIs (Matt Webb) — a new medium needs a new grammar and conversational UIs are definitely a new medium. As someone whose wedding vows were exchanged on a TinyMUSH, conversational UIs are near and dear to my heart.
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Four short links: 23 November 2009

Four short links: 23 November 2009

Scams, Swirl, Crisis, and Coasters

  1. Top E-Tailers Profiting From ScamsVertrue, Webloyalty, and Affinion generated more than $1.4 billion by “misleading” Web shoppers, said members of the U.S. Senate Committee on Commerce, Science and Transportation. […] The government says the investigation shows that [the companies] “trick” consumers into entering their e-mail address just before they complete purchases at sites such as Orbitz, Priceline.com, Buy.com, 1-800 Flowers, Continental Airlines, Fandango, and Classmates.com. A Web ad, which many consumers say appears to be from the retailer, offers them cash back or coupon if they key in their e-mail address.
  2. Image Swirl (Google Labs) — interesting image search result navigator. It’s fun to play with, trying to figure out why particular sets of images are grouped together.
  3. Create Crisis (Dan Meyer) — great call to arms for educators. It’s still astonishing to me how few “learning xyz” books follow this advice. Would-be authors, take note! If there were ever an easy way to make your computer book stand out for being better than the rest, this is it!
  4. Typographic Character Coasters — the single best argument for laser cutters evar. Send the patterns to Ponoko if you don’t have a laser cutter handy.
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The iPhone: Tricorder Version 1.0?

The iPhone, in addition to revolutionizing how people thought about mobile phone user interfaces, also was one of the first devices to offer a suite of sensors measuring everything from the visual environment to position to acceleration, all in a package that could fit in your shirt pocket. On December 3rd, O’Reilly will be offering a one-day online edition of the Where 2.0 conference, focusing on the iPhone sensors, and what you can do with them.

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Shopping with AR

Much like the farm wife with her Sears catalog, consumers will be able to use simple AR applications to make more informed buying decisions. Some items are well-suited to commerce with AR, but others need image recognition and databases containing all the information a consumer might need. Expect retail outlets and brands that provide fast-moving consumer goods to be among those eager to exploit mobile AR for shopping.

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