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» Informative sampling for large unbalanced data sets
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115
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MICCAI
2000
Springer
15 years 7 months ago
Robust Midsagittal Plane Extraction from Coarse, Pathological 3D Images
Abstract. This paper focuses on the evaluation of an ideal midsagittal plane iMSP extraction algorithm. The algorithm was developed for capturing the iMSP from 3D normal and pathol...
Yanxi Liu, Robert T. Collins, William E. Rothfus
DICTA
2003
15 years 5 months ago
Improved Automatic Skin Detection in Color Images
Abstract. Mahalanobis distance has already proved its strength in human skin detection using a set of skin values. We present this work that uses automatic skin detection after an ...
Filipe Tomaz, Tiago Candeias, Hamid Shahbazkia
133
Voted
CORR
2008
Springer
107views Education» more  CORR 2008»
15 years 3 months ago
A Spectral Algorithm for Learning Hidden Markov Models
Hidden Markov Models (HMMs) are one of the most fundamental and widely used statistical tools for modeling discrete time series. In general, learning HMMs from data is computation...
Daniel Hsu, Sham M. Kakade, Tong Zhang
166
Voted
ESOP
2011
Springer
14 years 7 months ago
Measure Transformer Semantics for Bayesian Machine Learning
Abstract. The Bayesian approach to machine learning amounts to inferring posterior distributions of random variables from a probabilistic model of how the variables are related (th...
Johannes Borgström, Andrew D. Gordon, Michael...
139
Voted
CSB
2005
IEEE
165views Bioinformatics» more  CSB 2005»
15 years 5 months ago
Sequential Diagonal Linear Discriminant Analysis (SeqDLDA) for Microarray Classification and Gene Identification
In microarray classification we are faced with a very large number of features and very few training samples. This is a challenge for classical Linear Discriminant Analysis (LDA),...
Roger Pique-Regi, Antonio Ortega, Shahab Asgharzad...