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» On Computability of Pattern Recognition Problems
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PR
2008
129views more  PR 2008»
15 years 16 days ago
A comparison of generalized linear discriminant analysis algorithms
7 Linear discriminant analysis (LDA) is a dimension reduction method which finds an optimal linear transformation that maximizes the class separability. However, in undersampled p...
Cheong Hee Park, Haesun Park
60
Voted
ICPR
2000
IEEE
16 years 1 months ago
First Steps toward Automatic Location of Landmarks on X-Ray Images
We address the problem of locating some anatomical bone structures on lateral cranial X-Ray Images. These structures are landmarks used in orthodontic therapy. The main problem in...
Barbara Romaniuk, Marie-Josèphe Deshayes, M...
PAMI
2006
132views more  PAMI 2006»
15 years 16 days ago
Capitalize on Dimensionality Increasing Techniques for Improving Face Recognition Grand Challenge Performance
This paper presents a novel pattern recognition framework by capitalizing on dimensionality increasing techniques. In particular, the framework integrates Gabor image representatio...
Chengjun Liu
91
Voted
MLG
2007
Springer
15 years 6 months ago
Learning Graph Matching
As a fundamental problem in pattern recognition, graph matching has found a variety of applications in the field of computer vision. In graph matching, patterns are modeled as gr...
Alex J. Smola
GIS
2006
ACM
16 years 1 months ago
Computing longest duration flocks in trajectory data
Moving point object data can be analyzed through the discovery of patterns. We consider the computational efficiency of computing two of the most basic spatio-temporal patterns in...
Joachim Gudmundsson, Marc J. van Kreveld