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SIGMOD
2012
ACM
13 years 5 days ago
2012
ACM
Locality-Sensitive Hashing (LSH) and its variants are wellknown methods for solving the c-approximate NN Search problem in high-dimensional space. Traditionally, several LSH funct...
SISAP
2009
IEEE
15 years 4 months ago
2009
IEEE
—It has been a long way since the beginnings of metric space searching, where people coming from algorithmics tried to apply their background to this new paradigm, obtaining vari...
ECCV
2008
Springer
14 years 11 months ago
2008
Springer
We present a novel method for unsupervised classification, including the discovery of a new category and precise object and part localization. Given a set of unlabelled images, som...
JMLR
2006
14 years 9 months ago
2006
In streamwise feature selection, new features are sequentially considered for addition to a predictive model. When the space of potential features is large, streamwise feature sel...
CEC
2009
IEEE
15 years 4 months ago
2009
IEEE
—In this paper we discuss the notion of situated evolution. Our treatment includes positioning situated evolution on the map of evolutionary processes in terms of time- and space...