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REPRESENTATION OF SKETCH DATA FOR LOCALISATION IN LARGE DATA SETS
Analysis Interpretation Matching
2015/6/1
Sketches are often used by humans to quickly give information about places or illustrate how to find a way from A to B. Thus,
sketches are an interesting technique of generating queries with the goa...
Efficient Gaussian Process Regression for Large Data Sets
Bayesian Compressive Sensing Dimension Reduction
2011/7/6
Gaussian processes (GPs) are widely used in nonparametric regression, classification and spatio-temporal modeling, motivated in part by a rich literature on theoretical properties.
Dating business cycles entails ascertaining economy-wide turning points. Broadly speaking, there are two approachesin the literature. The first approach, which dates to Burns and Mitchell (1946), is t...
Efficient estimation of the cardinality of large data sets
Efficient estimation cardinality large data sets
2010/4/26
F.Giroire has recently proposed an algorithm which returns the approximate number of distincts
elements in a large sequence of words, under strong constraints coming from the analysis of large data b...