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ACTAC
2006
126views more  ACTAC 2006»
13 years 10 months ago
Named Entity Recognition for Hungarian Using Various Machine Learning Algorithms
In this paper we introduce a statistical Named Entity recognizer (NER) system for the Hungarian language. We examined three methods for identifying and disambiguating proper nouns...
Richárd Farkas, György Szarvas, Andr&a...
SMA
2008
ACM
122views Solid Modeling» more  SMA 2008»
13 years 9 months ago
The cost of not knowing the radius
Robust Statistics considers the quality of statistical decisions in the presence of deviations from the ideal model, where deviations are modelled by neighborhoods of a certain siz...
Helmut Rieder, Matthias Kohl, Peter Ruckdeschel
IJCV
2000
164views more  IJCV 2000»
13 years 9 months ago
Probabilistic Modeling and Recognition of 3-D Objects
This paper introduces a uniform statistical framework for both 3-D and 2-D object recognition using intensity images as input data. The theoretical part provides a mathematical too...
Joachim Hornegger, Heinrich Niemann
ICASSP
2010
IEEE
13 years 4 months ago
Modified hierarchical clustering for sparse component analysis
The under-determined blind source separation (BSS) problem is usually solved using the sparse component analysis (SCA) technique. In SCA, the BSS is usually solved in two steps, w...
Nasser Mourad, James P. Reilly
SIGPRO
2010
145views more  SIGPRO 2010»
13 years 4 months ago
Blind identification of MISO-FIR channels
In this paper, we address the problem of determining the order of MISO channels by means of a series of hypothesis tests based on scalar statistics. Using estimated 4th-order outp...
Carlos Estêvão R. Fernandes, Pierre C...