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ICIP
2009
IEEE
14 years 7 months ago
An attention model for extracting components that merit identification
Cognitive systems are trained to recognise perceptually meaningful parts of an image. These regions contain some variation, i.e. local texture, and are roughly convex. We call suc...
Mohammad Jahangiri, Maria Petrou
SMA
2010
ACM
219views Solid Modeling» more  SMA 2010»
14 years 10 months ago
Barycentric interpolation and mappings on smooth convex domains
In a recent paper, Warren, Schaefer, Hirani, and Desbrun proposed a simple method of interpolating a function defined on the boundary of a smooth convex domain, using an integral ...
Michael S. Floater, Jirí Kosinka
IBPRIA
2007
Springer
15 years 4 months ago
Spectral Modes of Facial Needle-Maps
Abstract. This paper presents a method to decompose a field of surface normals (needle-map). A diffusion process is used to model the flow of height information induced by a fi...
Roberto Fraile, Edwin R. Hancock
AAAI
2006
14 years 11 months ago
Unsupervised Order-Preserving Regression Kernel for Sequence Analysis
In this work, a generalized method for learning from sequence of unlabelled data points based on unsupervised order-preserving regression is proposed. Sequence learning is a funda...
Young-In Shin
CIDR
2007
138views Algorithms» more  CIDR 2007»
14 years 11 months ago
MOMA - A Mapping-based Object Matching System
Object matching or object consolidation is a crucial task for data integration and data cleaning. It addresses the problem of identifying object instances in data sources referrin...
Andreas Thor, Erhard Rahm