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» Embedding Heterogeneous Data Using Statistical Models
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UAI
2004
15 years 2 months ago
Factored Latent Analysis for far-field Tracking Data
This paper uses Factored Latent Analysis (FLA) to learn a factorized, segmental representation for observations of tracked objects over time. Factored Latent Analysis is latent cl...
Chris Stauffer
83
Voted
ATAL
2007
Springer
15 years 7 months ago
Sharing experiences to learn user characteristics in dynamic environments with sparse data
This paper investigates the problem of estimating the value of probabilistic parameters needed for decision making in environments in which an agent, operating within a multi-agen...
David Sarne, Barbara J. Grosz
TMC
2010
155views more  TMC 2010»
14 years 11 months ago
Maximizing the Lifetime of a Barrier of Wireless Sensors
—To make a network last beyond the lifetime of an individual sensor, redundant sensors must be deployed. What sleep-wakeup schedule can then be used for individual sensors so tha...
Santosh Kumar, Ten-Hwang Lai, Marc E. Posner, Pras...
86
Voted
ICPR
2006
IEEE
16 years 1 months ago
Hidden Markov Models for Optical Flow Analysis in Crowds
This paper presents an event detector for emergencies in crowds. Assuming a single camera and a dense crowd we rely on optical flow instead of tracking statistics as a feature to ...
Ernesto L. Andrade, Scott Blunsden, Robert B. Fish...
89
Voted
CCS
2010
ACM
14 years 10 months ago
Assessing trust in uncertain information using Bayesian description logic
Decision makers (humans or software agents alike) are faced with the challenge of examining large volumes of information originating from heterogeneous sources with the goal of as...
Achille Fokoue, Mudhakar Srivatsa, Robert Young