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86
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TIT
2008
95views more  TIT 2008»
15 years 1 months ago
Mutual Information and Conditional Mean Estimation in Poisson Channels
Abstract--Following the discovery of a fundamental connection between information measures and estimation measures in Gaussian channels, this paper explores the counterpart of thos...
Dongning Guo, Shlomo Shamai, Sergio Verdú
ML
2002
ACM
140views Machine Learning» more  ML 2002»
15 years 24 days ago
A Probabilistic Framework for SVM Regression and Error Bar Estimation
In this paper, we elaborate on the well-known relationship between Gaussian Processes (GP) and Support Vector Machines (SVM) under some convex assumptions for the loss functions. ...
Junbin Gao, Steve R. Gunn, Chris J. Harris, Martin...
124
Voted
JMS
2010
90views more  JMS 2010»
14 years 11 months ago
Prediction of Clinical Conditions after Coronary Bypass Surgery using Dynamic Data Analysis
This work studies the impact of using dynamic information as features in a machine learning algorithm for the prediction task of classifying critically ill patients in two classes ...
Kristien Van Loon, Fabián Güiza, Geert...
110
Voted
MICCAI
2008
Springer
16 years 2 months ago
MR Brain Tissue Classification Using an Edge-Preserving Spatially Variant Bayesian Mixture Model
In this paper, a spatially constrained mixture model for the segmentation of MR brain images is presented. The novelty of this work is a new, edge preserving, smoothness prior whic...
Giorgos Sfikas, Christophoros Nikou, Nikolas P. ...
101
Voted
ISBI
2008
IEEE
16 years 1 months ago
Multiframe sure-let denoising of timelapse fluorescence microscopy images
Due to the random nature of photon emission and the various internal noise sources of the detectors, real timelapse fluorescence microscopy images are usually modeled as the sum o...
Saskia Delpretti, Florian Luisier, Sathish Ramani,...