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ICPR
2008
IEEE
16 years 3 months ago
Approximating a non-homogeneous HMM with Dynamic Spatial Dirichlet Process
In this work we present a model that uses a Dirichlet Process (DP) with a dynamic spatial constraints to approximate a non-homogeneous hidden Markov model (NHMM). The coefficient ...
Haijun Ren, Leon N. Cooper, Liang Wu, Predrag Nesk...
91
Voted
KI
2009
Springer
15 years 8 months ago
Maximum a Posteriori Estimation of Dynamically Changing Distributions
This paper presents a sequential state estimation method with arbitrary probabilistic models expressing the system’s belief. Probabilistic models can be estimated by Maximum a po...
Michael Volkhardt, Sören Kalesse, Steffen M&u...
117
Voted
ISBI
2007
IEEE
15 years 8 months ago
Advanced Particle Filtering for Multiple Object Tracking in Dynamic Fluorescence Microscopy Images
Quantitative analysis of dynamical processes in living cells by means of fluorescence microscopy imaging requires tracking of hundreds of bright spots in noisy image sequences. D...
Ihor Smal, Wiro J. Niessen, Erik H. W. Meijering
140
Voted
DAGM
2006
Springer
15 years 4 months ago
Introducing Dynamic Prior Knowledge to Partially-Blurred Image Restoration
Abstract. The paper presents an unsupervised method for partiallyblurred image restoration without influencing unblurred regions or objects. Maximum a posteriori estimation of para...
Hongwei Zheng, Olaf Hellwich
122
Voted
ICCV
2003
IEEE
15 years 7 months ago
Active Concept Learning for Image Retrieval in Dynamic Databases
Concept learning in content-based image retrieval (CBIR) systems is a challenging task. This paper presents an active concept learning approach based on mixture model to deal with...
Anlei Dong, Bir Bhanu