ICWSM
2009
13 years 10 months ago
2009
In this paper we present a regression-based machine learning approach to email thread summarization. The regression model is able to take advantage of multiple gold-standard annot...
ICCV
2009
IEEE
13 years 10 months ago
2009
IEEE
We present two novel methods for face verification. Our first method
PRL
2006
14 years 11 days ago
2006
In this paper, a multi-class feature selection scheme based on recursive feature elimination (RFE) is proposed for texture classifications. The feature selection scheme is perform...
JMLR
2006
14 years 12 days ago
2006
Receiver Operating Characteristic (ROC) curves are a standard way to display the performance of a set of binary classifiers for all feasible ratios of the costs associated with fa...
BMCBI
2006
14 years 15 days ago
2006
Background: We present a novel strategy for classification of DNA molecules using measurements from an alpha-Hemolysin channel detector. The proposed approach provides excellent c...
CORR
2008
Springer
14 years 16 days ago
2008
Springer
The seabed characterization from sonar images is a very hard task because of the produced data and the unknown environment, even for an human expert. In this work we propose an ori...
BMCBI
2008
14 years 17 days ago
2008
Background: As in many different areas of science and technology, most important problems in bioinformatics rely on the proper development and assessment of binary classifiers. A ...
DAS
2010
Springer
14 years 3 months ago
2010
Springer
We consider the problem of dealing with irrelevant votes when a multi-case classifier is built from an ensemble of binary classifiers. We show how run-off elections can be used to...
AVBPA
2001
Springer
14 years 4 months ago
2001
Springer
We propose a novel approach to face identification and verification based on the Error Correcting Output Coding (ECOC) classifier design concept. In the training phase the client s...
ICCV
2007
IEEE
14 years 4 months ago
2007
IEEE
In many computer vision applications, such as face recognition and hand pose estimation, we need systems that can recognize a very large number of classes. Large margin classifica...