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LREC
2008
131views Education» more  LREC 2008»
13 years 10 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...
IMECS
2007
13 years 10 months ago
A Hybrid Markov Model for Accurate Memory Reference Generation
—Workload characterisation and generation is becoming an increasingly important area as hardware and application complexities continue to advance. In this paper, we introduce a c...
Rahman Hassan, Antony Harris
VMV
2008
117views Visualization» more  VMV 2008»
13 years 10 months ago
High-speed Motion Analysis with Multi-Exposure Images
We propose a method to estimate dense motion vector fields from multi-exposure images. Our approach relies on finding a sparse set of correspondences between features in a single-...
Christian Linz, Timo Stich, Marcus A. Magnor
AAAI
2006
13 years 10 months ago
kFOIL: Learning Simple Relational Kernels
A novel and simple combination of inductive logic programming with kernel methods is presented. The kFOIL algorithm integrates the well-known inductive logic programming system FO...
Niels Landwehr, Andrea Passerini, Luc De Raedt, Pa...
BNCOD
2004
184views Database» more  BNCOD 2004»
13 years 10 months ago
Bulk Loading the M-Tree to Enhance Query Performance
The M-tree is a paged, dynamically balanced metric access method that responds gracefully to the insertion of new objects. Like many spatial access methods, the M-tree's perfo...
Alan P. Sexton, Richard Swinbank