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CORR
2007
Springer
13 years 10 months ago
2007
Springer
— The problem of statistical learning is to construct a predictor of a random variable Y as a function of a related random variable X on the basis of an i.i.d. training sample fr...
VISUALIZATION
1997
IEEE
14 years 2 months ago
1997
IEEE
We present a multiresolution framework, called Multi-Tetra framework, that approximates volume data with different levelsof-detail tetrahedra. The framework is generated through a...
ICPR
2006
IEEE
14 years 11 months ago
2006
IEEE
This paper describes a viewpoint invariant learningbased method for counting people in crowds from a single camera. Our method takes into account feature normalization to deal wit...
ILP
2001
Springer
14 years 2 months ago
2001
Springer
The Bayesian framework of learning from positive noise-free examples derived by Muggleton [12] is extended to learning functional hypotheses from positive examples containing norma...
COLT
2003
Springer
14 years 3 months ago
2003
Springer
The application of statistical methods to natural language processing has been remarkably successful over the past two decades. But, to deal with recent problems arising in this ï¬...