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GFKL
2005
Springer
82views Data Mining» more  GFKL 2005»
15 years 9 months ago
Robust Multivariate Methods: The Projection Pursuit Approach
Projection pursuit was originally introduced to identify structures in multivariate data clouds (Huber, 1985). The idea of projecting data to a lowdimensional subspace can also be ...
Peter Filzmoser, Sven Serneels, Christophe Croux, ...
ARC
2008
Springer
175views Hardware» more  ARC 2008»
15 years 6 months ago
Multivariate Gaussian Random Number Generator Targeting Specific Resource Utilization in an FPGA
Abstract. Financial applications are one of many fields where a multivariate Gaussian random number generator plays a key role in performing computationally extensive simulations. ...
Chalermpol Saiprasert, Christos-Savvas Bouganis, G...
COMPGEOM
2000
ACM
15 years 8 months ago
Multivariate regression depth
The regression depth of a hyperplane with respect to a set of n points in Rd is the minimum number of points the hyperplane must pass through in a rotation to vertical. We general...
Marshall W. Bern, David Eppstein
ISSAC
2005
Springer
110views Mathematics» more  ISSAC 2005»
15 years 9 months ago
Multivariate power series multiplication
We study the multiplication of multivariate power series. We show that over large enough fields, the bilinear complexity of the product modulo a monomial ideal M is bounded by th...
Éric Schost
PAMI
2007
107views more  PAMI 2007»
15 years 3 months ago
Segmentation of Multivariate Mixed Data via Lossy Data Coding and Compression
—In this paper, based on ideas from lossy data coding and compression, we present a simple but effective technique for segmenting multivariate mixed data that are drawn from a mi...
Yi Ma, Harm Derksen, Wei Hong, John Wright