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» Exploiting nonstationarity for performance prediction
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LREC
2008
131views Education» more  LREC 2008»
14 years 11 months ago
Learning Morphology with Morfette
Morfette is a modular, data-driven, probabilistic system which learns to perform joint morphological tagging and lemmatization from morphologically annotated corpora. The system i...
Grzegorz Chrupala, Georgiana Dinu, Josef van Genab...
GI
2004
Springer
15 years 3 months ago
Providing Service Continuity in Ad Hoc Networks
: Most of the investigations on ad hoc protocols do not consider the fact that future wireless networks are capable to adapt their behaviour to the channel situation. These adaptin...
Erik Weiss, Bangnan Xu, Sven Hischke
CG
2004
Springer
14 years 9 months ago
Compression of soft-body animation sequences
We describe a compression scheme for the geometry component of 3D animation sequences. This scheme is based on the principle component analysis (PCA) method, which represents the ...
Zachi Karni, Craig Gotsman
VMV
2004
150views Visualization» more  VMV 2004»
14 years 11 months ago
Hierarchical Shape-Adaptive Quantization for Geometry Compression
The compression of polygonal mesh geometry is still an active field of research as in 3d no theoretical bounds are known. This work proposes a geometry coding method based on pred...
Stefan Gumhold
IEAAIE
2004
Springer
15 years 3 months ago
Machine Learning Approaches for Inducing Student Models
The main issue in e-learning is student modelling, i.e. the analysis of a student’s behaviour and prediction of his/her future behaviour and learning performance. Indeed, it is d...
Oriana Licchelli, Teresa Maria Altomare Basile, Ni...