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ICIP
2010
IEEE
14 years 9 months ago
Gaussian mixture models for spots in microscopy using a new split/merge em algorithm
In confocal microscopy imaging, target objects are labeled with fluorescent markers in the living specimen, and usually appear as spots in the observed images. Spot detection and ...
Kangyu Pan, Anil C. Kokaram, Jens Hillebrand, Mani...
ECCV
2010
Springer
15 years 5 months ago
Crowd Detection with a Multiview Sampler
Abstract. We present a Bayesian approach for simultaneously estimating the number of people in a crowd and their spatial locations by sampling from a posterior distribution over cr...
ICML
2003
IEEE
16 years 15 days ago
Bayes Meets Bellman: The Gaussian Process Approach to Temporal Difference Learning
We present a novel Bayesian approach to the problem of value function estimation in continuous state spaces. We define a probabilistic generative model for the value function by i...
Yaakov Engel, Shie Mannor, Ron Meir
IGIS
1994
118views GIS» more  IGIS 1994»
15 years 3 months ago
Surface Modelling with Guaranteed Consistency - An Object-Based Approach
There have been many interpolation methods developed over the years, each with their own problems. One of the biggest limitations in many applications is the non-correspondence of...
Christopher M. Gold, Thomas Roos
CVPR
2009
IEEE
1216views Computer Vision» more  CVPR 2009»
16 years 6 months ago
Marked Point Processes for Crowd Counting
A Bayesian marked point process (MPP) model is developed to detect and count people in crowded scenes. The model couples a spatial stochastic process governing number and placem...
Robert T. Collins, Weina Ge