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DGCI
2009
Springer
15 years 6 months ago
Multivariate Watershed Segmentation of Compositional Data
Abstract. Watershed segmentation of spectral images is typically achieved by first transforming the high-dimensional input data into a scalar boundary indicator map which is used ...
Michael Hanselmann, Ullrich Köthe, Bernhard Y...
ESANN
2008
15 years 1 months ago
Classification of chestnuts with feature selection by noise resilient classifiers
In this paper we solve the problem of classifying chestnut plants according to their place of origin. We compare the results obtained by state of the art classifiers, among which,...
Elena Roglia, Rossella Cancelliere, Rosa Meo
AMC
2004
79views more  AMC 2004»
14 years 11 months ago
Computational experience with exterior point algorithms for the transportation problem
An experimental computational study to compare the classical primal simplex algorithm and the exterior point algorithms for the transportation problem (TP) is presented. Totally, ...
Charalampos Papamanthou, Konstantinos Paparrizos, ...
CIVR
2009
Springer
132views Image Analysis» more  CIVR 2009»
15 years 6 months ago
Real-time bag of words, approximately
We start from the state-of-the-art Bag of Words pipeline that in the 2008 benchmarks of TRECvid and PASCAL yielded the best performance scores. We have contributed to that pipelin...
Jasper R. R. Uijlings, Arnold W. M. Smeulders, Rem...
BMCBI
2010
190views more  BMCBI 2010»
14 years 12 months ago
Sample size and statistical power considerations in high-dimensionality data settings: a comparative study of classification alg
Background: Data generated using `omics' technologies are characterized by high dimensionality, where the number of features measured per subject vastly exceeds the number of...
Yu Guo, Armin Graber, Robert N. McBurney, Raji Bal...