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ESANN
2006
13 years 11 months ago
2006
Spectral classification, segmentation and data reduction are the three main problems in hyperspectral image analysis. In this paper we propose a Bayesian estimation approach which ...
CORR
2006
Springer
13 years 10 months ago
2006
Springer
In this article, we describe a new method of extracting information from signals, called functional dissipation, that proves to be very effective for enhancing classification of h...
INTR
2007
13 years 9 months ago
2007
ed abstract Purpose: The purpose of this paper is to present a multi-faceted summary and classification of the existing literature in the field of quality of service for egovernmen...
PRL
2008
13 years 9 months ago
2008
In this work we propose an approach to binary classification based on an extension of Bayes Point Machines. Particularly, we take into account the whole set of hypotheses that are...
CVPR
2009
IEEE
15 years 5 months ago
2009
IEEE
We introduce a text-based image feature and demon-
strate that it consistently improves performance on hard
object classification problems. The feature is built using
an auxilia...