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ISBI
2006
IEEE
15 years 10 months ago
Bayesian tracking for fluorescence microscopic imaging
Fluorescence microscopy is a powerful imaging tool for studying molecular dynamics in living cells. For quantitative motion analysis of subcellular structures robust and accurate ...
Ihor Smal, Wiro J. Niessen, Erik H. W. Meijering
DAS
2004
Springer
15 years 3 months ago
A Neural Network Classifier for Junk E-Mail
Abstract. Most e-mail readers spend a non-trivial amount of time regularly deleting junk e-mail (spam) messages, even as an expanding volume of such e-mail occupies server storage ...
Ian Stuart, Sung-Hyuk Cha, Charles C. Tappert
AUTOMATICA
2010
99views more  AUTOMATICA 2010»
14 years 9 months ago
Continuous trajectory planning of mobile sensors for informative forecasting
This paper addresses planning of continuous paths for mobile sensors to reduce uncertainty in some quantities of interest in the future. The mutual information between the measure...
Han-Lim Choi, Jonathan P. How
KDD
2005
ACM
180views Data Mining» more  KDD 2005»
15 years 3 months ago
Information retrieval based on collaborative filtering with latent interest semantic map
In this paper, we propose an information retrieval model called Latent Interest Semantic Map (LISM), which features retrieval composed of both Collaborative Filtering(CF) and Prob...
Noriaki Kawamae, Katsumi Takahashi
AROBOTS
2011
14 years 4 months ago
Learning GP-BayesFilters via Gaussian process latent variable models
Abstract— GP-BayesFilters are a general framework for integrating Gaussian process prediction and observation models into Bayesian filtering techniques, including particle filt...
Jonathan Ko, Dieter Fox