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» Multiple target detection using Bayesian learning
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TSP
2010
13 years 4 months ago
Bayesian multi-object filtering with amplitude feature likelihood for unknown object SNR
In many tracking scenarios, the amplitude of target returns are stronger than those coming from false alarms. This information can be used to improve the multi-target state estimat...
Daniel Clark, Branko Ristic, Ba-Ngu Vo, Ba-Tuong V...
ICML
2000
IEEE
14 years 10 months ago
Solving the Multiple-Instance Problem: A Lazy Learning Approach
As opposed to traditional supervised learning, multiple-instance learning concerns the problem of classifying a bag of instances, given bags that are labeled by a teacher as being...
Jun Wang, Jean-Daniel Zucker
CVPR
2004
IEEE
14 years 12 months ago
Learning a Restricted Bayesian Network for Object Detection
Many classes of images have the characteristics of sparse structuring of statistical dependency and the presence of conditional independencies among various groups of variables. S...
Henry Schneiderman
CORR
2010
Springer
135views Education» more  CORR 2010»
13 years 10 months ago
Optimal Design of a Molecular Recognizer: Molecular Recognition as a Bayesian Signal Detection Problem
Numerous biological functions--such as enzymatic catalysis, the immune response system, and the DNA-protein regulatory network--rely on the ability of molecules to specifically rec...
Yonatan Savir, Tsvi Tlusty
ICML
2010
IEEE
13 years 7 months ago
Temporal Difference Bayesian Model Averaging: A Bayesian Perspective on Adapting Lambda
Temporal difference (TD) algorithms are attractive for reinforcement learning due to their ease-of-implementation and use of "bootstrapped" return estimates to make effi...
Carlton Downey, Scott Sanner