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» Ink recognition based on statistical classification methods
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ICPR
2008
IEEE
14 years 10 months ago
Gait recognition by dynamic cues
Many studies have now shown that it is possible to recognize people by the way they walk. As yet there has been little formal study of people recognition using the kinematic-relat...
Imed Bouchrika, Mark S. Nixon
PAA
2008
13 years 8 months ago
Online nonparametric discriminant analysis for incremental subspace learning and recognition
This paper presents a novel approach for online subspace learning based on an incremental version of the nonparametric discriminant analysis (NDA). For many real-world applications...
Bogdan Raducanu, Jordi Vitrià
BMCBI
2008
170views more  BMCBI 2008»
13 years 9 months ago
A genetic approach for building different alphabets for peptide and protein classification
Background: In this paper, it is proposed an optimization approach for producing reduced alphabets for peptide classification, using a Genetic Algorithm. The classification task i...
Loris Nanni, Alessandra Lumini
DMIN
2006
114views Data Mining» more  DMIN 2006»
13 years 10 months ago
Towards Using Fewer Features for Text Classification
Abstract-- Text classification or categorization is a conventional classification problem applied to the text domain. In the cases when statistical classification methods are used,...
Yuan Yuan, Tianyang Gu
ECCV
2008
Springer
14 years 10 months ago
3D Face Model Fitting for Recognition
This paper presents an automatic efficient method to fit a statistical deformation model of the human face to 3D scan data. In a global to local fitting scheme, the shape parameter...
Frank B. ter Haar, Remco C. Veltkamp