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» Supervised Feature Extraction Using Hilbert-Schmidt Norms
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LREC
2008
160views Education» more  LREC 2008»
15 years 1 months ago
Automatic Extraction of Textual Elements from News Web Pages
In this paper we present an algorithm for automatic extraction of textual elements, namely titles and full text, associated with news stories in news web pages. We propose a super...
Hossam Ibrahim, Kareem Darwish, Abdel-Rahim Madany
ISVC
2010
Springer
14 years 10 months ago
Retinal Vessel Extraction with the Image Ray Transform
Extraction of blood vessels within the retina is an important task that can help in detecting a number of diseases, including diabetic retinopathy. Current techniques achieve good,...
Alastair H. Cummings, Mark S. Nixon
AIIA
2007
Springer
15 years 5 months ago
A Tree Kernel-Based Shallow Semantic Parser for Thematic Role Extraction
We present a simple, two-steps supervised strategy for the identification and classification of thematic roles in natural language texts. We employ no external source of informat...
Daniele Pighin, Alessandro Moschitti
ECCV
2008
Springer
16 years 1 months ago
Scale Invariant Action Recognition Using Compound Features Mined from Dense Spatio-temporal Corners
Abstract. The use of sparse invariant features to recognise classes of actions or objects has become common in the literature. However, features are often "engineered" to...
Andrew Gilbert, John Illingworth, Richard Bowden
111
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CORR
2011
Springer
151views Education» more  CORR 2011»
14 years 6 months ago
A supervised clustering approach for fMRI-based inference of brain states
We propose a method that combines signals from many brain regions observed in functional Magnetic Resonance Imaging (fMRI) to predict the subject’s behavior during a scanning se...
Vincent Michel, Alexandre Gramfort, Gaël Varo...