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ACL
1998
14 years 11 months ago
Terminological Variation, a Means of Identifying Research Topics from Texts
After extracting terms from a corpus of titles and s in English, syntactic variation relations are identified amongst them in order to detect research topics. Three types of synta...
Fidelia Ibekwe-Sanjuan
IJAR
2010
152views more  IJAR 2010»
14 years 8 months ago
Structural-EM for learning PDG models from incomplete data
Probabilistic Decision Graphs (PDGs) are a class of graphical models that can naturally encode some context specific independencies that cannot always be efficiently captured by...
Jens D. Nielsen, Rafael Rumí, Antonio Salme...
ICCV
2003
IEEE
15 years 11 months ago
Segmenting Foreground Objects from a Dynamic Textured Background via a Robust Kalman Filter
The algorithm presented in this paper aims to segment the foreground objects in video (e.g., people) given timevarying, textured backgrounds. Examples of time-varying backgrounds ...
Jing Zhong, Stan Sclaroff
NLDB
2007
Springer
15 years 4 months ago
Large-Scale Knowledge Acquisition from Botanical Texts
Free text botanical descriptions contained in printed floras can provide a wealth of valuable scientific information. In spite of this richness, these texts have seldom been anal...
François Role, Milagros Fernandez Gavilanes...
70
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GECCO
2003
Springer
130views Optimization» more  GECCO 2003»
15 years 3 months ago
Extracting Test Sequences from a Markov Software Usage Model by ACO
The aim of the paper is to investigate methods for deriving a suitable set of test paths for a software system. The design and the possible uses of the software system are modelled...
Karl Doerner, Walter J. Gutjahr