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DAGM
2008
Springer
13 years 10 months ago
Approximate Parameter Learning in Conditional Random Fields: An Empirical Investigation
We investigate maximum likelihood parameter learning in Conditional Random Fields (CRF) and present an empirical study of pseudo-likelihood (PL) based approximations of the paramet...
Filip Korc, Wolfgang Förstner
CSDA
2007
108views more  CSDA 2007»
13 years 9 months ago
Nonlinear random effects mixture models: Maximum likelihood estimation via the EM algorithm
Nonlinear random effects models with finite mixture structures are used to identify polymorphism in pharmacokinetic/ pharmacodynamic (PK/PD) phenotypes. An EM algorithm for maxim...
Xiaoning Wang, Alan Schumitzky, David Z. D'Argenio
GLOBECOM
2008
IEEE
14 years 3 months ago
High-Throughput Non-Orthogonal Interleaved Random Space-Time Coding for Multi-Source Cooperation
Abstract— In this paper, we propose a novel distributed Interleaved Random Space-Time Code (IR-STC) designed for MultiSource Cooperation (MSC) employing various relaying techniqu...
Rong Zhang, Lajos Hanzo
CORR
2010
Springer
124views Education» more  CORR 2010»
13 years 9 months ago
Component Evolution in General Random Intersection Graphs
Abstract. Random intersection graphs (RIGs) are an important random structure with algorithmic applications in social networks, epidemic networks, blog readership, and wireless sen...
Milan Bradonjic, Aric A. Hagberg, Nicolas W. Henga...
ICMCS
2009
IEEE
415views Multimedia» more  ICMCS 2009»
13 years 6 months ago
A new localized superpixel Markov random field for image segmentation
In this paper, we present a novel localized Markov random field (MRF) method based on superpixels for region segmentation. Early vision problems could be formulated as pixel label...
Xiaofeng Wang, Xiao-Ping Zhang