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» Learning Hierarchical Shape Models from Examples
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124
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ATAL
2008
Springer
15 years 4 months ago
Approximate predictive state representations
Predictive state representations (PSRs) are models that represent the state of a dynamical system as a set of predictions about future events. The existing work with PSRs focuses ...
Britton Wolfe, Michael R. James, Satinder P. Singh
DAGSTUHL
2006
15 years 3 months ago
Many-to-Many Feature Matching in Object Recognition
One of the bottlenecks of current recognition (and graph matching) systems is their assumption of one-to-one feature (node) correspondence. This assumption breaks down in the gener...
Ali Shokoufandeh, Yakov Keselman, M. Fatih Demirci...
139
Voted
ECCV
2008
Springer
16 years 4 months ago
A Probabilistic Approach to Integrating Multiple Cues in Visual Tracking
Abstract. This paper presents a novel probabilistic approach to integrating multiple cues in visual tracking. We perform tracking in different cues by interacting processes. Each p...
Wei Du, Justus H. Piater
ICIP
2003
IEEE
15 years 7 months ago
Detection and counting of cars in aerial images
This paper introduces a new approach to automatic car detection in monocular large scale aerial images. The extraction is based on a hierarchical 3D-model that describes the promi...
S. Hinz
SPW
1999
Springer
15 years 6 months ago
The Resurrecting Duckling: Security Issues for Ad-hoc Wireless Networks
In the near future, many personal electronic devices will be able to communicate with each other over a short range wireless channel. We investigate the principal security issues f...
Frank Stajano, Ross J. Anderson