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» Optimizing Local Probability Models for Statistical Parsing
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ISBI
2006
IEEE
14 years 8 months ago
Analysis of unknown-location signal detectability for regularized tomographic image reconstruction
Our goal is to optimize regularized image reconstruction methods for emission tomography with respect to the task of detecting small lesions of unknown location in the reconstruct...
Anastasia Yendiki, Jeffrey A. Fessler
ICIP
2009
IEEE
14 years 8 months ago
Context-based Bias Removal Of Statistical Models Of Wavelet Coefficients For Image Denoising
Existing wavelet-based image denoising techniques all assume a probability model of wavelet coefficients that has zero mean, such as zero-mean Laplacian, Gaussian, or generalized ...
JMLR
2006
107views more  JMLR 2006»
13 years 7 months ago
Bounds for the Loss in Probability of Correct Classification Under Model Based Approximation
In many pattern recognition/classification problem the true class conditional model and class probabilities are approximated for reasons of reducing complexity and/or of statistic...
Magnus Ekdahl, Timo Koski
STACS
2004
Springer
14 years 1 months ago
Local Limit Distributions in Pattern Statistics: Beyond the Markovian Models
Motivated by problems of pattern statistics, we study the limit distribution of the random variable counting the number of occurrences of the symbol a in a word of length n chosen...
Alberto Bertoni, Christian Choffrut, Massimiliano ...
ICPR
2008
IEEE
14 years 9 months ago
Kernel bandwidth estimation in methods based on probability density function modelling
In kernel density estimation methods, an approximation of the data probability density function is achieved by locating a kernel function at each data location. The smoothness of ...
Adrian G. Bors, Nikolaos Nasios