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CORR
2008
Springer
107views Education» more  CORR 2008»
15 years 6 months ago
A Spectral Algorithm for Learning Hidden Markov Models
Hidden Markov Models (HMMs) are one of the most fundamental and widely used statistical tools for modeling discrete time series. In general, learning HMMs from data is computation...
Daniel Hsu, Sham M. Kakade, Tong Zhang
CSJM
2008
88views more  CSJM 2008»
15 years 6 months ago
A zero-dimensional approach to compute real radicals
The notion of real radicals is a fundamental tool in Real Algebraic Geometry. It takes the role of the radical ideal in Complex Algebraic Geometry. In this article I shall describ...
Silke J. Spang
166
Voted
CVIU
2008
109views more  CVIU 2008»
15 years 6 months ago
Performance vs computational efficiency for optimizing single and dynamic MRFs: Setting the state of the art with primal-dual st
In this paper we introduce a novel method to address minimization of static and dynamic MRFs. Our approach is based on principles from linear programming and, in particular, on pr...
Nikos Komodakis, Georgios Tziritas, Nikos Paragios
DKE
2008
208views more  DKE 2008»
15 years 6 months ago
Deploying defeasible logic rule bases for the semantic web
Logic is currently the target of the majority of the upcoming efforts towards the realization of the Semantic Web vision, namely making the content of the Web accessible not only t...
Efstratios Kontopoulos, Nick Bassiliades, Grigoris...
ENTCS
2010
88views more  ENTCS 2010»
15 years 6 months ago
On the Observable Behaviour of Composite Components
The crucial strength of the component paradigm lies in the possibility to encapsulate behaviours. In this work, we focus on the observable behaviour of composite components which ...
Rolf Hennicker, Stephan Janisch, Alexander Knapp
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