KDD
2002
ACM
14 years 5 months ago
2002
ACM
Text classification is the process of classifying documents into predefined categories based on their content. Existing supervised learning algorithms to automatically classify te...
ISBI
2008
IEEE
14 years 5 months ago
2008
IEEE
We propose a Bayesian approach to incorporate anatomical information in the clustering of fiber trajectories. An expectationmaximization (EM) algorithm is used to cluster the traj...
ISBI
2002
IEEE
14 years 5 months ago
2002
IEEE
We investigate a new, fast and provably convergentMAP reconstruction algorithm for emission tomography. The new algorithm, termed C-OSEM has its origin in the alternating algorith...
ICML
2008
IEEE
14 years 5 months ago
2008
IEEE
EM algorithm is a very popular iteration-based method to estimate the parameters of Gaussian Mixture Model from a large observation set. However, in most cases, EM algorithm is no...
ICPR
2000
IEEE
14 years 5 months ago
2000
IEEE
We present a parallel implementation of a probabilistic algorithm for real time tracking of segments in noisy edge images. Given an initial solution ?a set of segments that reason...
ICPR
2006
IEEE
14 years 5 months ago
2006
IEEE
Correspondence algorithms typically struggle with shapes that display part-based variation. We present a probabilistic approach that matches shapes using independent part transfor...
ICPR
2008
IEEE
14 years 5 months ago
2008
IEEE
In this paper, we propose a novel component-wise smoothing algorithm that constructs a hierarchy (or family) of smoothened log-likelihood surfaces. Our approach first smoothens th...
ICIP
1997
IEEE
14 years 6 months ago
1997
IEEE
ICIP
2001
IEEE
14 years 6 months ago
2001
IEEE
The HMM (Hidden Markov Model) is a probabilistic model of the joint probability of a collection of random variables with both observations and states. The GMM (Gaussian Mixture Mo...
ICIP
2002
IEEE
14 years 6 months ago
2002
IEEE
This paper describes an expectation-maximization (EM) algorithm for wavelet-based image restoration (deconvolution). The observed image is assumed to be a convolved (e.g., blurred...