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NAACL
2010
13 years 5 months ago
Minimally-Supervised Extraction of Entities from Text Advertisements
Extraction of entities from ad creatives is an important problem that can benefit many computational advertising tasks. Supervised and semi-supervised solutions rely on labeled da...
Sameer Singh, Dustin Hillard, Chris Leggetter
LREC
2010
163views Education» more  LREC 2010»
13 years 8 months ago
Meaning Representation: From Continuity to Discreteness
This paper presents a geometric approach to meaning representation within the framework of continuous mathematics. Meaning representation is a central issue in Natural Language Pr...
Fabienne Venant
ICPR
2010
IEEE
13 years 7 months ago
High-Level Feature Extraction Using SIFT GMMs and Audio Models
—We propose a statistical framework for high-level feature extraction that uses SIFT Gaussian mixture models (GMMs) and audio models. SIFT features were extracted from all the im...
Nakamasa Inoue, Tatsuhiko Saito, Koichi Shinoda, S...
IJCNN
2008
IEEE
14 years 1 months ago
Multifractal feature vectors for Brain-Computer interfaces
—This article introduces a new feature vector extraction for EEG signals using multifractal analysis. The validity of the approach is asserted on real data sets from the BCI comp...
Nicolas Brodu
IBPRIA
2007
Springer
14 years 1 months ago
Line Extraction from Mechanically Scanned Imaging Sonar
Abstract. The extraction of reliable features is a key issue for autonomous underwater vehicle navigation. Imaging sonars can produce acoustic images of the surroundings of the veh...
David Ribas, Pere Ridao, José Neira, Juan D...