129 search results - page 16 / 26 » Expectation maximization algorithms for conditional likeliho... |
159
Voted
NIPS
2008
15 years 4 months ago
2008
Probabilistic topic models have become popular as methods for dimensionality reduction in collections of text documents or images. These models are usually treated as generative m...
135
Voted
IJCV
2000
15 years 3 months ago
2000
This paper introduces a uniform statistical framework for both 3-D and 2-D object recognition using intensity images as input data. The theoretical part provides a mathematical too...
144
Voted
PODS
2001
ACM
16 years 3 months ago
2001
ACM
The increasing ability to track and collect large amounts of data with the use of current hardware technology has lead to an interest in the development of data mining algorithms ...
124
click to vote
ICIP
2004
IEEE
16 years 5 months ago
2004
IEEE
In this paper, we present a robust method for estimating the model parameters in a mixture of probabilistic principal component analyzers. This method is based on the Stochastic v...
361
Voted
Publication
In this paper, we present an automatic statistical approach for extracting 3D blood vessels from time-of-flight (TOF) magnetic resonance angiography (MRA) data. The voxels of the d...