2088 search results - page 360 / 418 » The Probabilistic Method |
81
Voted
NIPS
2007
15 years 2 months ago
2007
Clustering is often formulated as the maximum likelihood estimation of a mixture model that explains the data. The EM algorithm widely used to solve the resulting optimization pro...
105
click to vote
RIAO
2007
15 years 2 months ago
2007
According to some current thinking, a very large number of semantic concepts could provide researcher a novel way to characterize video and be utilized for video retrieval and und...
75
Voted
AIPS
2006
15 years 2 months ago
2006
Policy Reuse is a method to improve reinforcement learning with the ability to solve multiple tasks by building upon past problem solving experience, as accumulated in a Policy Li...
106
Voted
NIPS
2004
15 years 2 months ago
2004
Spike sorting involves clustering spike trains recorded by a microelectrode according to the source neuron. It is a complicated problem, which requires a lot of human labor, partl...
99
Voted
BMVC
2000
15 years 2 months ago
2000
This paper addresses the problem of reconstructing surface models of indoor scenes from sparse 3D scene structure captured from N camera views. Sparse 3D measurements of real scen...