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» Using transformations to improve semantic matching
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MICCAI
2009
Springer
15 years 9 months ago
DISCO: A Coherent Diffeomorphic Framework for Brain Registration under Exhaustive Sulcal Constraints
Abstract. Neuroimaging at the group level requires spatial normalization of individual structural data. We propose a geometric approach that consists in matching a series of cortic...
Guillaume Auzias, Joan Glaunes, Olivier Colliot, M...
TIP
2011
255views more  TIP 2011»
14 years 6 months ago
Dictionary Learning for Stereo Image Representation
—One of the major challenges in multi-view imaging is the definition of a representation that reveals the intrinsic geometry of the visual information. Sparse image representati...
Ivana Tosic, Pascal Frossard
CICLING
2010
Springer
15 years 3 months ago
ETL Ensembles for Chunking, NER and SRL
We present a new ensemble method that uses Entropy Guided Transformation Learning (ETL) as the base learner. The proposed approach, ETL Committee, combines the main ideas of Baggin...
Cícero Nogueira dos Santos, Ruy Luiz Milidi...
BMCBI
2007
124views more  BMCBI 2007»
14 years 11 months ago
Protein structural similarity search by Ramachandran codes
Background: Protein structural data has increased exponentially, such that fast and accurate tools are necessary to access structure similarity search. To improve the search speed...
Wei-Cheng Lo, Po-Jung Huang, Chih-Hung Chang, Ping...
CC
2009
Springer
15 years 4 months ago
Scheduling Tasks to Maximize Usage of Aggregate Variables in Place
Single-assignment languages with copy semantics have a very simple and approachable programming model. A na¨ıve implementation of the copy semantics that copies the result of eve...
Samah Abu-Mahmeed, Cheryl McCosh, Zoran Budimlic, ...