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CVPR
2007
IEEE
14 years 10 months ago
2007
IEEE
Linear Discriminant Analysis (LDA) is a popular statistical approach for dimensionality reduction. LDA captures the global geometric structure of the data by simultaneously maximi...
ICPR
2006
IEEE
14 years 9 months ago
2006
IEEE
This paper proposes a license plate detection algorithm using both global statistical features and local Haar-like features. Classifiers using global statistical features are cons...
IJCAI
2007
13 years 9 months ago
2007
Linear Discriminant Analysis (LDA) is a popular data-analytic tool for studying the class relationship between data points. A major disadvantage of LDA is that it fails to discove...
IDA
2007
Springer
14 years 2 months ago
2007
Springer
We present a new machine learning approach to the inverse parametric sequence alignment problem: given as training examples a set of correct pairwise global alignments, find the p...
IJCNLP
2005
Springer
14 years 1 months ago
2005
Springer
Research on linear text segmentation has been an on-going focus in NLP for the last decade, and it has great potential for a wide range of applications such as document summarizati...