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ICPR
2006
IEEE
16 years 29 days ago
Evaluating Feature Importance for Object Classification in Visual Surveillance
Feature-based object classification, which distinguish a moving object to human or vehicle, is important in visual surveillance. In order to improve classification performance, in...
Hironobu Fujiyoshi, Masamitsu Tsuchiya
ICPR
2000
IEEE
16 years 28 days ago
Automatic Training of Page Segmentation Algorithms: An Optimization Approach
Most page segmentation algorithms have userspecifiable free parameters. However, algorithm designers typically do not provide a quantitative/rigorous method for choosing values fo...
Song Mao, Tapas Kanungo
ICIP
2009
IEEE
16 years 28 days ago
Optimum Kernel Function Design From Scale Space Features For Object Detection
Scale-space representation of an image is a significant way to generate features for classification. However, for a specific classification task, the entire scale-space may not be...
ICML
2003
IEEE
16 years 20 days ago
Principled Methods for Advising Reinforcement Learning Agents
An important issue in reinforcement learning is how to incorporate expert knowledge in a principled manner, especially as we scale up to real-world tasks. In this paper, we presen...
Eric Wiewiora, Garrison W. Cottrell, Charles Elkan
ICML
2002
IEEE
16 years 20 days ago
Learning Decision Trees Using the Area Under the ROC Curve
ROC analysis is increasingly being recognised as an important tool for evaluation and comparison of classifiers when the operating characteristics (i.e. class distribution and cos...
César Ferri, José Hernández-O...