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» Metamodel based Model Transformation Framework
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ICASSP
2010
IEEE
13 years 9 months ago
Hierarchical dictionary learning for invariant classification
Sparse representation theory has been increasingly used in the fields of signal processing and machine learning. The standard sparse models are not invariant to spatial transform...
Leah Bar, Guillermo Sapiro
ISCI
2007
151views more  ISCI 2007»
13 years 8 months ago
Enriching the ER model based on discovered association rules
The entity–relationship (ER) model, a powerful means for business and data modeling, needs to be enriched with new semantics as the real world changes and its understanding impr...
Guoqing Chen, Ming Ren, Peng Yan, Xunhua Guo
CVPR
2003
IEEE
14 years 10 months ago
Video Segmentation Based on Graphical Models
This paper proposes a unified framework for spatiotemporal segmentation of video sequences. A Bayesian network is presented to model the interactions among the motion vector field...
Kia-Fock Loe, Tele Tan, Yang Wang 0002
TIP
2008
108views more  TIP 2008»
13 years 8 months ago
Geometry-Based Distributed Scene Representation With Omnidirectional Vision Sensors
Abstract--This paper addresses the problem of efficient representation of scenes captured by distributed omnidirectional vision sensors. We propose a novel geometric model to descr...
Ivana Tosic, Pascal Frossard
CAISE
2003
Springer
14 years 2 months ago
A Framework for the Design of ETL Scenarios
Extraction-Transformation-Loading (ETL) tools are pieces of software responsible for the extraction of data from several sources, their cleansing, customization and insertion into ...
Panos Vassiliadis, Alkis Simitsis, Panos Georganta...