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MA
2011
Springer
230views Communications» more  MA 2011»
13 years 5 months ago
Weighted-mean trimming of multivariate data
A general notion of trimmed regions for empirical distributions in d-space is introduced. The regions are called weighted-mean trimmed regions. They are continuous in the data as ...
Rainer Dyckerhoff, Karl Mosler
ICASSP
2011
IEEE
13 years 1 months ago
Subspace pursuit method for kernel-log-linear models
This paper presents a novel method for reducing the dimensionality of kernel spaces. Recently, to maintain the convexity of training, loglinear models without mixtures have been u...
Yotaro Kubo, Simon Wiesler, Ralf Schlüter, He...
COCOON
2011
Springer
12 years 10 months ago
Proper n-Cell Polycubes in n - 3 Dimensions
A d-dimensional polycube of size n is a connected set of n cubes in d dimensions, where connectivity is through (d−1)-dimensional faces. Enumeration of polycubes, and, in particu...
Andrei Asinowski, Gill Barequet, Ronnie Barequet, ...
MVA
2007
210views Computer Vision» more  MVA 2007»
13 years 11 months ago
Represent Image Contents Using Curves and Chain Code
This paper presents a new approach to extracting and representing structural features of images. The approach is based on both a region-based analysis and a contour-based analysis...
Pornchai Mongkolnam, Chakarida Nukoolkit, Thanee D...
FMSD
2006
104views more  FMSD 2006»
13 years 10 months ago
Some ways to reduce the space dimension in polyhedra computations
Convex polyhedra are often used to approximate sets of states of programs involving numerical variables. The manipulation of convex polyhedra relies on the so-called double descri...
Nicolas Halbwachs, David Merchat, Laure Gonnord