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» Hierarchical Structuring of Data on Manifolds
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ICIP
2007
IEEE
14 years 10 months ago
3D Human Motion Tracking using Manifold Learning
This paper introduces a framework to track 3D human movement using Gaussian process dynamic model (GPDM) and particle filter. The framework combines the particle filter and discri...
Feng Guo, Gang Qian
TAGT
1998
Springer
184views Graph Theory» more  TAGT 1998»
14 years 1 months ago
A Framework for Adding Packages to Graph Transformation Approaches
Graphs are a commonly used formalism for modeling many different kinds of static and dynamic data. In many applications, data modeling can be improved by using hierarchically struc...
Giorgio Busatto, Gregor Engels, Katharina Mehner, ...
FLAIRS
2001
13 years 10 months ago
A Logical Framework for Frequent Pattern Discovery in Spatial Data
Inrecenttimes,severalextensionsofdataminingmethods andtechniqueshavebeenexploredaimingatdealingwith advanceddatabases.Manypromisingapplicationsof inductivelogicprogramming(ILP)tok...
Donato Malerba, Floriana Esposito, Francesca A. Li...
ENTCS
2008
73views more  ENTCS 2008»
13 years 8 months ago
Invariants for Non-Hierarchical Object Structures
We present a Hoare-style specification and verification approach for invariants in sequential OO programs. It allows invariants over nonhierarchical object structures, in which upd...
Ronald Middelkoop, Cornelis Huizing, Ruurd Kuiper,...
ICCS
2007
Springer
14 years 20 days ago
Discovering Latent Structures: Experience with the CoIL Challenge 2000 Data Set
We present a case study to demonstrate the possibility of discovering complex and interesting latent structures using hierarchical latent class (HLC) models. A similar effort was m...
Nevin Lianwen Zhang