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ICASSP
2011
IEEE
8 years 1 months ago
Characterizing physical-layer secrecy with unknown eavesdropper locations and channels
—We present a probabilistic framework for physical layer secrecy when the locations and channels of the eavesdroppers are unknown. The locations are modeled by a Poisson point pr...
Mounir Ghogho, Ananthram Swami
ICRA
2010
IEEE
225views Robotics» more  ICRA 2010»
8 years 7 months ago
3D reconstruction of fish schooling kinematics from underwater video
This paper describes a probabilistic framework to estimate the shape and position of multiple fish in a school. We model the fish shape as an ellipsoid with a curvature coefficient...
Sachit Butail, Derek A. Paley
JMLR
2006
143views more  JMLR 2006»
8 years 9 months ago
Segmental Hidden Markov Models with Random Effects for Waveform Modeling
This paper proposes a general probabilistic framework for shape-based modeling and classification of waveform data. A segmental hidden Markov model (HMM) is used to characterize w...
Seyoung Kim, Padhraic Smyth
CORR
2008
Springer
115views Education» more  CORR 2008»
8 years 9 months ago
New probabilistic interest measures for association rules
Mining association rules is an important technique for discovering meaningful patterns in transaction databases. Many different measures of interestingness have been proposed for ...
Michael Hahsler, Kurt Hornik
UAI
1990
8 years 10 months ago
separable and transitive graphoids
We examine the notion of "unrelatedness" in a probabilistic framework. Three formulations are presented. In the first formulation, two variables a and b are totally inde...
Dan Geiger, David Heckerman
NIPS
2004
8 years 10 months ago
Constraining a Bayesian Model of Human Visual Speed Perception
It has been demonstrated that basic aspects of human visual motion perception are qualitatively consistent with a Bayesian estimation framework, where the prior probability distri...
Alan Stocker, Eero P. Simoncelli
CLEAR
2006
Springer
111views Biometrics» more  CLEAR 2006»
8 years 11 months ago
A Generative Approach to Audio-Visual Person Tracking
This paper focuses on the integration of acoustic and visual information for people tracking. The system presented relies on a probabilistic framework within which information from...
Roberto Brunelli, Alessio Brutti, Paul Chippendale...
CVPR
2010
IEEE
9 years 12 days ago
Real-time Tracking of Multiple Occluding Objects using Level Sets
We derive a probabilistic framework for robust, realtime, visual tracking of multiple previously unseen objects from a moving camera. This framework models the discrete depth orde...
Charles Bibby, Ian Reid
ICPR
2000
IEEE
9 years 26 days ago
MRF Solutions for Probabilistic Optical Flow Formulations
In this paper we propose an efficient, non-iterative method for estimating optical flow. We develop a probabilistic framework that is appropriate for describing the inherent uncer...
Sébastien Roy, Venu Govindu
ICLP
2010
Springer
9 years 1 months ago
Dedicated Tabling for a Probabilistic Setting
ProbLog is a probabilistic framework that extends Prolog with probabilistic facts. To compute the probability of a query, the complete SLD proof tree of the query is collected as a...
Theofrastos Mantadelis, Gerda Janssens
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