717 search results - page 13 / 144 » Multiple target detection using Bayesian learning |
134
Voted
TSP
2010
14 years 9 months ago
2010
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...
140
Voted
ICML
2000
IEEE
16 years 3 months ago
2000
IEEE
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...
131
Voted
CVPR
2004
IEEE
16 years 4 months ago
2004
IEEE
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...
104
Voted
CORR
2010
Springer
15 years 2 months ago
2010
Springer
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...
141
Voted
ICML
2010
IEEE
15 years 17 days ago
2010
IEEE
Temporal difference (TD) algorithms are attractive for reinforcement learning due to their ease-of-implementation and use of "bootstrapped" return estimates to make effi...