Chris Jordan art arts culture beauty photography Statistics

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  • TED-Talks  status
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    		Views: (1403)  
    Date:     (01-01-08)  
    Time:     (00:11:14)

  • Description: Artist Chris Jordan shows us an arresting view of what Western culture looks like. His supersized images picture some almost unimaginable statistics -- like the astonishing number of paper cups we use every single day. http://www.ted.com

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     Related Documents

  • Convex and Semi-Nonnegative Matrix Factorizations 2006

  • Author: by Chris Ding, Tao Li, Michael I. Jordan

  • Abstract: We present several new variations on the theme of nonnegative matrix factorization (NMF). Considering factorizations of the form X = F G T, we focus on algorithms in which G is restricted to contain nonnegative entries, but allow the data matrix X to...

  • C Extending the Rocchio Relevance Feedback Algorithm to Provide Contex...

  • Author: by Chris Jordan, Carolyn Watters

  • Abstract: Abstract. Contextual retrieval supports differences amongst users in their information seeking requests. The Web, which is very dynamic and nearly universally accessible, is an environment in which it is increasingly difficult for users to find docum...

  • Eeg-Based Assessment Of Anaesthetic Depth Using Neural Networks 1996 2...

  • Author: by Milos Krkic, Stephen J. Roberts, Iead Rezek, Chris Jordan

  • Abstract: this paper. One of the most important problems in EEG analysis is the extraction of appropriate features to describe the ongoing signal, and this can be tackled in various ways. The feature extraction stage of the work described in this paper was per...

  • Eeg-Based Assessment Of Anaesthetic Depth Using Neural Networks 1996 2...

  • Author: by Milos Krkic, Stephen J. Roberts, Iead Rezek, Chris Jordan

  • Abstract: this paper. One of the most important problems in EEG analysis is the extraction of appropriate features to describe the ongoing signal, and this can be tackled in various ways. The feature extraction stage of the work described in this paper was per...

  • Computer Science Some Lessons Learned from Coding the Burns Line Extra...

  • Author: by J. Ross Beveridge, Chris Graves, J. Ross, J. Ross, Beveridge Chris, Beveridge...

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  • Computer Science Some Lessons Learned from Coding the Burns Line Extra...

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  • Dimensionality reduction for supervised learning with reproducing kern...

  • Author: by Kenji Fukumizu, Francis R. Bach, Michael I. Jordan, Chris Williams

  • Abstract: We propose a novel method of dimensionality reduction for supervised learning problems. Given a regression or classification problem in which we wish to predict a response variable Y from an explanatory variable X, we treat the problem of dimensional...

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  • Author: by Stephen J. Roberts, Milos Krkic, Iead Rezek, James Pardey, Lionel Tarassenko,...

  • Abstract: this paper the problems of noise and artefact removal, nor the problems of modelling the passage of the EEG from cortex to scalp, but instead will concentrate on the EEG as is

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  • Author: by Wan Fokkink, Chris Verhoef, Wan Fokkink, Wan Fokkink, Wan Fokkink, Chris Verh...

  • Abstract: . General theorems in structured operational semantics can be transformed into related results in conditional term rewriting. We apply this approach to obtain a conservative extension theorem for higher-order conditional term rewriting systems with n...

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  • Chris is a Fellow of the Australian Institute of Navigation

  • Author: by Joel Barnes, Chris Rizos, Mustafa Kanli, David Small, Gavin Voigt, Nunzio Gam...

  • Abstract: Newcastle upon Tyne, UK. Joel has assisted in the development of the Locata receiver and testing of the Locata technology. Other current research interests include pseudolites, GPS receiver firmware customisation and high precision kinematic GPS posi...

  • References

  • Author: by Gerard Salton, Chris Buckley Term, Gerard Salton, Chris Buckley Im, Gerard Sa...

  • Abstract: proving retrieval performance by rele- vance feedback. Journal of the Amer- ican Society for Information Science, 41(4):288-297, 1990.

  • Back Propagation is Sensitive to Initial Conditions 1990

  • Author: by John Kolen Jordan, John F. Kolen, Jordan B. Pollack, Jordan B. Pollack

  • Abstract: This paper explores the effect of initial weight selection on feed-forward networks learning simple functions with the back-propagation technique. We first demonstrate, through the use of Monte Carlo techniques, that the magnitude of the initial cond...




























 

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