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ICIP
2008
IEEE
14 years 2 months ago
A Bayesian approach to predicting the perceived interest of objects
This paper presents an algorithm designed to compute the perceived interest of objects in images. We measured likelihood functions via a psychophysical experiment in which subject...
Srivani Pinneli, Damon M. Chandler
SIGCOMM
2010
ACM
13 years 7 months ago
Trust no one: a decentralized matching service for privacy in location based services
We propose a new approach to ensure privacy in location based services, without requiring any support from a"trusted" entity. We observe that users of location based ser...
Sharad Jaiswal, Animesh Nandi
CSE
2009
IEEE
14 years 10 days ago
Processing Approximate Moving Range Queries in Mobile Sensor Environments
— The ubiquity of mobile devices has led to a rising demand for location-based services and applications. A major part of these services is based on the location-detection capabi...
Antoniya Petkova, Kien A. Hua, Alexander J. Aved
ICCV
2005
IEEE
14 years 1 months ago
Learning Hierarchical Models of Scenes, Objects, and Parts
We describe a hierarchical probabilistic model for the detection and recognition of objects in cluttered, natural scenes. The model is based on a set of parts which describe the e...
Erik B. Sudderth, Antonio B. Torralba, William T. ...
BMVC
2010
13 years 5 months ago
On-line Adaption of Class-specific Codebooks for Instance Tracking
Off-line trained class-specific object detectors are designed to detect any instance of the class in a given image or video sequence. In the context of object tracking, however, o...
Juergen Gall, Nima Razavi, Luc J. Van Gool