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ICANN
2003
Springer
13 years 10 months ago
Confidence Estimation Using the Incremental Learning Algorithm, Learn++
Pattern recognition problems span a broad range of applications, where each application has its own tolerance on classification error. The varying levels of risk associated with ma...
Jeffrey Byorick, Robi Polikar
GCC
2003
Springer
13 years 10 months ago
Some Grid Automata for Grid Computing
We use 2-Dimensional language to construct 2-Dimensional computer graphics model, use MSO or other logics to specify some graph property, and use automata model checking technique ...
Hao Shen, Yongqiang Sun
CIARP
2009
Springer
13 years 11 months ago
Image Characterization from Statistical Reduction of Local Patterns
This paper tackles the image characterization problem from a statistical analysis of local patterns in one or several images. The induced image characteristics are not defined a p...
Philippe Guermeur, Antoine Manzanera
PREMI
2005
Springer
13 years 10 months ago
Pattern Recognition in Video
Images constitute data that lives in a very high dimensional space, typically of the order of hundred thousand dimensions. Drawing inferences from data of such high dimensions soon...
Rama Chellappa, Ashok Veeraraghavan, Gaurav Aggarw...
AUSDM
2007
Springer
107views Data Mining» more  AUSDM 2007»
13 years 11 months ago
A Discriminant Analysis for Undersampled Data
One of the inherent problems in pattern recognition is the undersampled data problem, also known as the curse of dimensionality reduction. In this paper a new algorithm called pai...
Matthew Robards, Junbin Gao, Philip Charlton