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» Ink recognition based on statistical classification methods
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SDM
2004
SIAM
242views Data Mining» more  SDM 2004»
13 years 10 months ago
Privacy-Preserving Multivariate Statistical Analysis: Linear Regression and Classification
Multivariate statistical analysis is an important data analysis technique that has found applications in various areas. In this paper, we study some multivariate statistical analy...
Wenliang Du, Yunghsiang S. Han, Shigang Chen
ICPR
2010
IEEE
14 years 1 months ago
Symbol Classification Using Dynamic Aligned Shape Descriptor
Shape representation is a difficult task because of several symbol distortions, such as occlusions, elastic deformations, gaps or noise. In this paper, we propose a new descriptor ...
Alicia Fornés, Sergio Escalera, Josep Llados, Ern...
ICPR
2002
IEEE
14 years 10 months ago
Improving Texture Pattern Recognition by Integration of Multiple Texture Feature Extraction Methods
This paper proposes a pixel-based texture classifier that integrates multiple texture feature extraction methods in order to identify the regions of an input image that belong to ...
Miguel Angel García, Domènec Puig
CRV
2008
IEEE
142views Robotics» more  CRV 2008»
13 years 10 months ago
Invariant Classification of Gait Types
This paper presents a method of classifying human gait in an invariant manner based on silhouette comparison. A database of artificially generated silhouettes is created represent...
Preben Fihl, Thomas B. Moeslund
ICDAR
2009
IEEE
14 years 3 months ago
A Pixel-level Statistical Structural Descriptor for Shape Measure and Recognition
A novel shape descriptor based on the histogram matrix of pixel-level structural features is presented. First, length ratios and angles between the centroid and contour points of ...
Jing Zhang, Wenyin Liu