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ICASSP
2011
IEEE
12 years 10 months ago
Entropy estimation using the principle of maximum entropy
In this paper, we present a novel entropy estimator for a given set of samples drawn from an unknown probability density function (PDF). Counter to other entropy estimators, the e...
Behrouz Behmardi, Raviv Raich, Alfred O. Hero
MICCAI
2006
Springer
14 years 7 months ago
Shape Filtering for False Positive Reduction at Computed Tomography Colonography
Abstract. In this paper, we treat the problem of reducing the false positives (FP) in the automatic detection of colorectal polyps at Computer Aided Detection in Computed Tomograph...
Abhilash A. Miranda, Tarik A. Chowdhury, Ovidiu Gh...
CORR
2006
Springer
102views Education» more  CORR 2006»
13 years 6 months ago
Theoretical Properties of Projection Based Multilayer Perceptrons with Functional Inputs
Many real world data are sampled functions. As shown by Functional Data Analysis (FDA) methods, spectra, time series, images, gesture recognition data, etc. can be processed more e...
Fabrice Rossi, Brieuc Conan-Guez
BMCBI
2010
185views more  BMCBI 2010»
13 years 6 months ago
ABCtoolbox: a versatile toolkit for approximate Bayesian computations
Background: The estimation of demographic parameters from genetic data often requires the computation of likelihoods. However, the likelihood function is computationally intractab...
Daniel Wegmann, Christoph Leuenberger, Samuel Neue...
NIPS
1990
13 years 7 months ago
Bumptrees for Efficient Function, Constraint and Classification Learning
A new class of data structures called "bumptrees" is described. These structures are useful for efficiently implementing a number of neural network related operations. A...
Stephen M. Omohundro