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» Pattern-Recognition: a Foundational Approach
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178
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AUTOID
2005
IEEE
15 years 9 months ago
Experiments with an Improved Iris Segmentation Algorithm
Iris is claimed to be one of the best biometrics. We have collected a large data set of iris images, intentionally sampling a range of quality broader than that used by current co...
Xiaomei Liu, Kevin W. Bowyer, Patrick J. Flynn
ICMCS
2005
IEEE
138views Multimedia» more  ICMCS 2005»
15 years 9 months ago
Overcomplete ICA-based Manmade Scene Classification
Principal Component Analysis (PCA) has been widely used to extract features for pattern recognition problems such as object recognition. Oliva and Torralba used “spatial envelop...
Matthew Boutell, Jiebo Luo
119
Voted
MCS
2005
Springer
15 years 9 months ago
Ensemble of SVMs for Incremental Learning
Support Vector Machines (SVMs) have been successfully applied to solve a large number of classification and regression problems. However, SVMs suffer from the catastrophic forgetti...
Zeki Erdem, Robi Polikar, Fikret S. Gürgen, N...
MCS
2005
Springer
15 years 9 months ago
Ensemble Confidence Estimates Posterior Probability
We have previously introduced the Learn++ algorithm that provides surprisingly promising performance for incremental learning as well as data fusion applications. In this contribut...
Michael Muhlbaier, Apostolos Topalis, Robi Polikar
VLBV
2005
Springer
15 years 9 months ago
Efficient Digital Pre-filtering for Least-Squares Linear Approximation
In this paper we propose a very simple FIR pre-filter based method for near optimal least-squares linear approximation of discrete time signals. A digital pre-processing filter,...
Marco Dalai, Riccardo Leonardi, Pierangelo Miglior...