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INTERSPEECH
2010
13 years 2 months ago
Memory-based active learning for French broadcast news
Stochastic dependency parsers can achieve very good results when they are trained on large corpora that have been manually annotated. Active learning is a procedure that aims at r...
Frédéric Tantini, Christophe Cerisar...
TMI
2011
154views more  TMI 2011»
13 years 2 months ago
Segmentation of Intra-Retinal Layers From Optical Coherence Tomography Images Using an Active Contour Approach
Abstract—Optical Coherence Tomography (OCT) is a noninvasive, depth-resolved imaging modality that has become a prominent ophthalmic diagnostic technique. We present a semiautoma...
Azadeh Yazdanpanah, Ghassan Hamarneh, Benjamin R. ...
BSL
2006
109views more  BSL 2006»
13 years 7 months ago
Computing with functionals - computability theory or computer science?
We review some of the history of the computability theory of functionals of higher types, and we will demonstrate how contributions from logic and theoretical computer science hav...
Dag Normann
FSE
2011
Springer
263views Cryptology» more  FSE 2011»
12 years 11 months ago
Practical Near-Collisions on the Compression Function of BMW
Abstract. Blue Midnight Wish (BMW) is one of the fastest SHA-3 candidates in the second round of the competition. In this paper we study the compression function of BMW and we obta...
Gaëtan Leurent, Søren S. Thomsen
ICCV
2009
IEEE
13 years 5 months ago
Image annotation using multi-label correlated Green's function
Image annotation has been an active research topic in the recent years due to its potentially large impact on both image understanding and web/database image search. In this paper...
Hua Wang, Heng Huang, Chris H. Q. Ding