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ICVS
2009
Springer
15 years 4 months ago
Incremental Video Event Learning
We propose a new approach for video event learning. The only hypothesis is the availability of tracked object attributes. The approach incrementally aggregates the attributes and r...
Marcos Zúñiga, François Br&ea...
SDM
2004
SIAM
187views Data Mining» more  SDM 2004»
14 years 11 months ago
Class-Specific Ensembles for Active Learning
In many real-world tasks of image classification, limited amounts of labeled data are available to train automatic classifiers. Consequently, extensive human expert involvement is...
Amit Mandvikar, Huan Liu
ROMAN
2007
IEEE
167views Robotics» more  ROMAN 2007»
15 years 4 months ago
Active Teaching in Robot Programming by Demonstration
— Robot Programming by Demonstration (RbD) covers methods by which a robot learns new skills through human guidance. In this work, we take the perspective that the role of the tea...
Sylvain Calinon, Aude Billard
WWW
2004
ACM
15 years 10 months ago
Mining models of human activities from the web
The ability to determine what day-to-day activity (such as cooking pasta, taking a pill, or watching a video) a person is performing is of interest in many application domains. A ...
Mike Perkowitz, Matthai Philipose, Kenneth P. Fish...
DAGM
2009
Springer
15 years 4 months ago
Active Structured Learning for High-Speed Object Detection
High-speed smooth and accurate visual tracking of objects in arbitrary, unstructured environments is essential for robotics and human motion analysis. However, building a system th...
Christoph H. Lampert, Jan Peters