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MCS
2004
Springer
14 years 1 months ago
A Probabilistic Model Using Information Theoretic Measures for Cluster Ensembles
Abstract. This paper presents a probabilistic model for combining cluster ensembles utilizing information theoretic measures. Starting from a co-association matrix which summarizes...
Hanan Ayad, Otman A. Basir, Mohamed Kamel
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
IVC
2007
124views more  IVC 2007»
13 years 7 months ago
Outlier rejection in high-dimensional deformable models
Deformable model tracking is a powerful methodology that allows us to track the evolution of high-dimensional parameter vectors from uncalibrated monocular video sequences. The co...
Christian Vogler, Siome Goldenstein, Jorge Stolfi,...
CORR
2004
Springer
142views Education» more  CORR 2004»
13 years 7 months ago
Modeling and Validating Hybrid Systems Using VDM and Mathematica
Hybrid systems are characterized by the hybrid evolution of their state: A part of the state changes discretely, the other part changes continuously over time. Typically, modern c...
Bernhard K. Aichernig, Reinhold Kainhofer
ISCAS
2005
IEEE
199views Hardware» more  ISCAS 2005»
14 years 1 months ago
Congestion-optimized scheduling of video over wireless ad hoc networks
We analyze the benefits of information sharing between the application layer and the transport layer, for streaming video encoded at several different qualities, in a mobile wir...
Eric Setton, Xiaoqing Zhu, Bernd Girod