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WIAMIS
2009
IEEE
14 years 2 months ago
Towards fully un-supervised methods for generating object detection classifiers using social data
In this work a framework for constructing object detection classifiers using weakly annotated social data is proposed. Social information is combined with computer vision techniq...
Spiros Nikolopoulos, Elisavet Chatzilari, Eirini G...
MSWIM
2009
ACM
14 years 2 months ago
Design and evaluation of host identity protocol (HIP) simulation framework for INET/OMNeT++
Host Identity Protocol (HIP) decouples IP addresses from higher layer Internet applications by proposing a new, cryptographic namespace for host identities. HIP has great potentia...
László Bokor, Szabolcs Novácz...
ESCIENCE
2007
IEEE
14 years 1 months ago
Distributed and Generic Maximum Likelihood Evaluation
This paper presents GMLE 1 , a generic and distributed framework for maximum likelihood evaluation. GMLE is currently being applied to astroinformatics for determining the shape o...
Travis J. Desell, Nathan Cole, Malik Magdon-Ismail...
ICIP
2009
IEEE
13 years 5 months ago
Shapes as empirical distributions
We address the problem of shape based classification. We interpret the shape of an object as a probability distribution governing the location of the points of the object. An imag...
Bernardo Rodrigues Pires, José M. F. Moura
BMCBI
2008
129views more  BMCBI 2008»
13 years 7 months ago
A unified approach to false discovery rate estimation
Background: False discovery rate (FDR) methods play an important role in analyzing highdimensional data. There are two types of FDR, tail area-based FDR and local FDR, as well as ...
Korbinian Strimmer