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» Modeling Signs Using Functional Data Analysis
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PAKDD
2000
ACM
161views Data Mining» more  PAKDD 2000»
15 years 10 months ago
Adaptive Boosting for Spatial Functions with Unstable Driving Attributes
Combining multiple global models (e.g. back-propagation based neural networks) is an effective technique for improving classification accuracy by reducing a variance through manipu...
Aleksandar Lazarevic, Tim Fiez, Zoran Obradovic
LSGRID
2004
Springer
16 years 4 days ago
Development of a Grid Infrastructure for Functional Genomics
The BRIDGES project is incrementally developing and exploring database integration over six geographically distributed research sites with the framework of a Wellcome Trust biomedi...
Richard O. Sinnott, Micha Bayer, Derek Houghton, D...
IJCM
2007
205views more  IJCM 2007»
15 years 6 months ago
BTF modelling using BRDF texels
The highest fidelity representations of realistic real-world materials currently used comprise Bidirectional Texture Functions (BTF). The BTF is a six dimensional function dependi...
Jirí Filip, Michal Haindl
ICPR
2010
IEEE
16 years 1 months ago
Statistical Shape Modeling using Morphological Representations
The aim of this paper is to propose tools for statistical analysis of shape families using morphological operators. Given a series of shape families (or shape categories), the appr...
S. Velasco-Forero and J. Angulo
SSPR
2004
Springer
16 years 4 days ago
Kernel Methods for Exploratory Pattern Analysis: A Demonstration on Text Data
Kernel Methods are a class of algorithms for pattern analysis with a number of convenient features. They can deal in a uniform way with a multitude of data types and can be used to...
Tijl De Bie, Nello Cristianini