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» Learning from Skewed Class Multi-relational Databases
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ICIP
2004
IEEE
14 years 10 months ago
Regularization studies on LDA for face recognition
It is well-known that the applicability of Linear Discriminant Analysis (LDA) to high-dimensional pattern classification tasks such as face recognition (FR) often suffers from the...
Juwei Lu, Konstantinos N. Plataniotis, Anastasios ...
KDD
2006
ACM
149views Data Mining» more  KDD 2006»
14 years 8 months ago
Regularized discriminant analysis for high dimensional, low sample size data
Linear and Quadratic Discriminant Analysis have been used widely in many areas of data mining, machine learning, and bioinformatics. Friedman proposed a compromise between Linear ...
Jieping Ye, Tie Wang
SMI
2006
IEEE
123views Image Analysis» more  SMI 2006»
14 years 2 months ago
Selecting Distinctive 3D Shape Descriptors for Similarity Retrieval
Databases of 3D shapes have become widespread for a variety of applications, and a key research problem is searching these databases for similar shapes. This paper introduces a me...
Philip Shilane, Thomas A. Funkhouser
PODS
1999
ACM
151views Database» more  PODS 1999»
14 years 23 days ago
Exact and Approximate Aggregation in Constraint Query
We investigate the problem of how to extend constraint query languages with aggregate operators. We deal with standard relational aggregation, and also with aggregates speci c to ...
Michael Benedikt, Leonid Libkin
ICB
2009
Springer
140views Biometrics» more  ICB 2009»
14 years 3 months ago
A Discriminant Analysis Method for Face Recognition in Heteroscedastic Distributions
Linear discriminant analysis (LDA) is a popular method in pattern recognition and is equivalent to Bayesian method when the sample distributions of different classes are obey to t...
Zhen Lei, ShengCai Liao, Dong Yi, Rui Qin, Stan Z....