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ICONIP
2008
15 years 7 months ago
Improved Sparse Bump Modeling for Electrophysiological Data
Bump modeling is a method used to extract oscillatory bursts in electrophysiological signals, who are most likely to be representative of local synchronies. In this paper we presen...
François B. Vialatte, Justin Dauwels, Jordi...
WSCG
2004
192views more  WSCG 2004»
15 years 7 months ago
Fast Segmentation and Modeling of Range Data Via Steerable Pyramid and Superquadrics
This paper focuses on a fast and effective model for range images segmentation and modeling. The first phase is based on the well-known Simoncelli's steerable pyramid, useful...
Vittoria Bruni, Domenico Vitulano, Umberto Manisca...
ISPDC
2010
IEEE
15 years 4 months ago
Operational Semantics of the Marte Repetitive Structure Modeling Concepts for Data-Parallel Applications Design
—This paper presents an operational semantics of the repetitive model of computation, which is the basis for the repetitive structure modeling (RSM) package defined in the stand...
Abdoulaye Gamatié, Vlad Rusu, Éric R...
ALGORITHMICA
2004
132views more  ALGORITHMICA 2004»
15 years 6 months ago
A General Model for Authenticated Data Structures
Query answers from on-line databases can easily be corrupted by hackers or malicious database publishers. Thus it is important to provide mechanisms which allow clients to trust th...
Charles U. Martel, Glen Nuckolls, Premkumar T. Dev...
IJCNN
2006
IEEE
16 years 11 days ago
Using Neural Network to Enhance Assimilating Sea Surface Height Data into an Ocean Model
—A generic approach that allows extracting functional nonlinear dependencies and mappings between atmospheric or ocean state variables in a relatively simple form is presented. T...
Vladimir M. Krasnopolsky, Carlos J. Lozano, Deanna...