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» Calibrating Random Forests
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ICML
2008
IEEE
14 years 9 months ago
An empirical evaluation of supervised learning in high dimensions
In this paper we perform an empirical evaluation of supervised learning on highdimensional data. We evaluate performance on three metrics: accuracy, AUC, and squared loss and stud...
Rich Caruana, Nikolaos Karampatziakis, Ainur Yesse...
DGCI
2009
Springer
14 years 3 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
13 years 10 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»
13 years 8 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»
14 years 3 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...