WaldBoost - learning for time constrained sequential detection

• Published in: 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) Vol. 2; pp. 150 - 156 vol. 2
• Main Authors: Sochman, J., Matas, J.
• Format: Conference Proceeding
• Language: English
• Published: IEEE 2005
• Subjects: Computer errors; Computer vision; Decision making; Density measurement; Error analysis; Probability density function; Sequential analysis; Testing; Time factors; Time measurement

In many computer vision classification problems, both the error and time characterizes the quality of a decision. We show that such problems can be formalized in the framework of sequential decision-making. If the false positive and false negative error rates are given, the optimal strategy in terms...