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TKDE
2010
184views more  TKDE 2010»
13 years 5 months ago
The Dynamic Bloom Filters
—A Bloom filter is an effective, space-efficient data structure for concisely representing a set, and supporting approximate membership queries. Traditionally, the Bloom filter a...
Deke Guo, Jie Wu, Honghui Chen, Ye Yuan, Xueshan L...
ECCV
2006
Springer
13 years 10 months ago
A Probabilistic Framework for Correspondence and Egomotion
This paper is an argument for two assertions: First, that by representing correspondence probabilistically, drastically more correspondence information can be extracted from image...
Justin Domke, Yiannis Aloimonos
IJCV
2000
161views more  IJCV 2000»
13 years 6 months ago
Probabilistic Detection and Tracking of Motion Boundaries
We propose a Bayesian framework for representing and recognizing local image motion in terms of two basic models: translational motion and motion boundaries. Motion boundaries are ...
Michael J. Black, David J. Fleet
IROS
2008
IEEE
138views Robotics» more  IROS 2008»
14 years 1 months ago
Approximating information content for active sensing tasks using the unscented transform
— This paper presents an approach to approximate information content for active sensing tasks. The Unscented Transform is used to represent probability distributions by a set of ...
Eric W. Frew
DEXA
2010
Springer
180views Database» more  DEXA 2010»
13 years 7 months ago
Identifying Interesting Instances for Probabilistic Skylines
Significant research efforts have recently been dedicated to modeling and querying uncertain data. In this paper, we focus on skyline analysis of uncertain data, modeled as uncert...
Yinian Qi, Mikhail J. Atallah