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BoostMap: A Method for Efficient Approximate Similarity Rankings

4
Air Jordan Flight 45
08-17-2010
04:32 AM ET (US)
Air Jordan 1LeBron VII (7) Heroes Pack Deion Sanders and Penny Hardaway were the big names for Nike in the 90s, and surely enough, we all had a pair of Pennys or Deions Diamond Turf Trainers. Paying homage to two of LeBron James childhood idols, the LeBron VII was fashioned in two great colorways, making up the Nike Air Jordan 2010 Heroes Pack. Pennys pair features the trademark crackled swoosh from the Air Jordan 1 of Blue White Black Penny while Primetimes pair features a gaudier, spotlight stealing patent leather red with gold accents. Like Deion returning an INT for a TD or Penny driving to the hole,Air Jordan Flight 45 both pairs will be out of our reach as the LeBron VII Heroes Pack will not see a public release.
3
Deborah
11-21-2006
04:43 PM ET (US)
A great book came out,

Nearest-Neighbor Methods in Learning and Vision:
Theory and Practice

and Chapter 6 talks more about this!!

http://people.csail.mit.edu/gregory/annbook/book.html
2
Nadav
11-21-2006
04:03 PM ET (US)
Could you clarify how one chooses the set C of candidate objects? Performance probably depends on the selection of such candidates.
Thanks
1
Tom
11-21-2006
02:50 PM ET (US)
Just out of curiousity, as long as we're giving coorespondences for training. Can anyone convince me that this sort of combination of embeddings would outperform something simple like LFD where ach class is a correspondence and each image is a sample in all classes?

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