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AUTOMATICA
2007
48views more  AUTOMATICA 2007»
14 years 9 months ago
Interconnection of port-Hamiltonian systems and composition of Dirac structures
Port-based network modeling of physical systems leads to a model class of nonlinear systems known as port-Hamiltonian systems. Port-Hamiltonian systems are defined with respect t...
J. Cervera, A. J. van der Schaft, Alfonso Ba&ntild...
IPMI
2007
Springer
15 years 10 months ago
A Shape-Guided Deformable Model with Evolutionary Algorithm Initialization for 3D Soft Tissue Segmentation
Abstract. We present a novel method for the segmentation of volumetric images, which is especially suitable for highly variable soft tissue structures. Core of the algorithm is a s...
Hans-Peter Meinzer, Ivo Wolf, Sascha Münzing,...
JMLR
2010
134views more  JMLR 2010»
14 years 4 months ago
Inference of Graphical Causal Models: Representing the Meaningful Information of Probability Distributions
This paper studies the feasibility and interpretation of learning the causal structure from observational data with the principles behind the Kolmogorov Minimal Sufficient Statist...
Jan Lemeire, Kris Steenhaut
SSPR
2004
Springer
15 years 2 months ago
Finding Clusters and Components by Unsupervised Learning
We present a tutorial survey on some recent approaches to unsupervised machine learning in the context of statistical pattern recognition. In statistical PR, there are two classica...
Erkki Oja
SASO
2009
IEEE
15 years 4 months ago
Myconet: A Fungi-Inspired Model for Superpeer-Based Peer-to-Peer Overlay Topologies
Abstract—Unstructured peer-to-peer networks can be extremely flexible, but, because of size, complexity, and high variability in peers’ capacity and reliability, it is a conti...
Paul L. Snyder, Rachel Greenstadt, Giuseppe Valett...