311 search results - page 21 / 63 » Learning first-order probabilistic models with combining rul... |
131
Voted
ICPR
2008
IEEE
16 years 4 months ago
2008
IEEE
This article presents a method aiming at quantifying the visual similarity between an image and a class model. This kind of problem is recurrent in many applications such as objec...
160
Voted
TSMC
2002
15 years 3 months ago
2002
There are a lot of industrial applications that can be solved competitively by hard computing, while still requiring the tolerance for imprecision and uncertainty that can be explo...
139
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KCAP
2005
ACM
15 years 9 months ago
2005
ACM
The AutoFeed system automatically extracts data from semistructured web sites. Previously, researchers have developed two types of supervised learning approaches for extracting we...
118
Voted
ICML
2008
IEEE
16 years 4 months ago
2008
IEEE
Sampling is a popular way of scaling up machine learning algorithms to large datasets. The question often is how many samples are needed. Adaptive stopping algorithms monitor the ...
123
Voted
ISVC
2009
Springer
2009
Springer
Probabilistic Facial Feature Extraction Using Joint Distribution of Location and Texture Information
15 years 10 months ago
Abstract. In this work, we propose a method which can extract critical points on a face using both location and texture information. This new approach can automatically learn featu...