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GFKL
2005
Springer
82views Data Mining» more  GFKL 2005»
14 years 28 days 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»
13 years 9 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
13 years 11 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»
14 years 27 days 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»
13 years 6 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