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152
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CVPR
2010
IEEE
16 years 2 months ago
Unsupervised Learning of Invariant Features Using Video
We present an algorithm that learns invariant features from real data in an entirely unsupervised fashion. The principal benefit of our method is that it can be applied without hu...
David Stavens, Sebastian Thrun
AAECC
2007
Springer
89views Algorithms» more  AAECC 2007»
16 years 14 days ago
Links Between Discriminating and Identifying Codes in the Binary Hamming Space
Let Fn be the binary n-cube, or binary Hamming space of dimension n, endowed with the Hamming distance, and En (respectively, On ) the set of vectors with even (respectively, odd)...
Irène Charon, Gérard D. Cohen, Olivi...
CVPR
2010
IEEE
16 years 12 days ago
Putting local features on a Manifold
Local features have proven very useful for recognition. Manifold learning has proven to be a very powerful tool in data analysis. However, manifold learning application for imag...
Marwan Torki and Ahmed Elgammal
180
Voted
CHI
2010
ACM
15 years 11 months ago
Moving beyond untagging: photo privacy in a tagged world
Photo tagging is a popular feature of many social network sites that allows users to annotate uploaded images with those who are in them, explicitly linking the photo to each pers...
Andrew Besmer, Heather Richter Lipford
ISNN
2010
Springer
15 years 11 months ago
Multiattribute Bayesian Preference Elicitation with Pairwise Comparison Queries
Preference elicitation (PE) is an important component of interactive decision support systems that aim to make optimal recommendations to users by actively querying their preferen...
Shengbo Guo, Scott Sanner
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