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ICCV
2009
IEEE
15 years 27 days ago
Bayesian selection of scaling laws for motion modeling in images
Based on scaling laws describing the statistical structure of turbulent motion across scales, we propose a multiscale and non-parametric regularizer for optic-flow estimation. R...
Patrick H´eas, Etienne M´emin, Dominique Heitz, ...
PKDD
2009
Springer
148views Data Mining» more  PKDD 2009»
14 years 2 months ago
Feature Selection by Transfer Learning with Linear Regularized Models
Abstract. This paper presents a novel feature selection method for classification of high dimensional data, such as those produced by microarrays. It includes a partial supervisio...
Thibault Helleputte, Pierre Dupont
EDBT
2010
ACM
200views Database» more  EDBT 2010»
14 years 2 months ago
Rewrite techniques for performance optimization of schema matching processes
A recurring manual task in data integration, ontology alignment or model management is finding mappings between complex meta data structures. In order to reduce the manual effor...
Eric Peukert, Henrike Berthold, Erhard Rahm
CODES
2006
IEEE
14 years 2 months ago
The pipeline decomposition tree: : an analysis tool for multiprocessor implementation of image processing applications
Modern embedded systems for image processing involve increasingly complex levels of functionality under real-time and resourcerelated constraints. As this complexity increases, th...
Dong-Ik Ko, Shuvra S. Bhattacharyya
CATA
2001
13 years 9 months ago
Object-oriented image database model
: In this paper we analyze some existing tools and approaches to image data modeling and we propose an Object-Oriented Image Data (OOID) model. It can be applied on a wide variety ...
William I. Grosky, Peter L. Stanchev