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PAMI
2012
13 years 12 days ago
A Least-Squares Framework for Component Analysis
— Over the last century, Component Analysis (CA) methods such as Principal Component Analysis (PCA), Linear Discriminant Analysis (LDA), Canonical Correlation Analysis (CCA), Lap...
Fernando De la Torre
AAAI
2012
13 years 11 days ago
Online Kernel Selection: Algorithms and Evaluations
Kernel methods have been successfully applied to many machine learning problems. Nevertheless, since the performance of kernel methods depends heavily on the type of kernels being...
Tianbao Yang, Mehrdad Mahdavi, Rong Jin, Jinfeng Y...
ICCV
1999
IEEE
15 years 12 months ago
Higher Order Statistical Learning for Vehicle Detection in Images
The paper describes a scheme for detecting vehicles in images. The proposed method approximately models the unknown distribution of the images of vehicles by learning higher order...
A. N. Rajagopalan, Philippe Burlina, Rama Chellapp...
ICPR
2002
IEEE
15 years 11 months ago
Structure in Errors: A Case Study in Fingerprint Verification
Measuring the accuracy of biometrics systems is important. Accuracy estimates depend very much on the quality of the test data that are used. Including poor quality data will degr...
Sharath Pankanti, Nalini K. Ratha, Ruud M. Bolle
ICIP
2009
IEEE
15 years 11 months ago
Robust Visual Tracking Based On Simplified Biologically Inspired Features
We address the problem of robust appearance-based visual tracking. First, a set of simplified biologically inspired features (SBIF) is proposed for object representation and the B...