765 search results - page 11 / 153 » Empirical Design of Geometric Algorithms |
ICML
2008
IEEE
14 years 8 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 ...
JVCIR
2006
13 years 7 months ago
2006
In this paper, we propose a framework to carry out supervised classification of images containing both textured and non textured areas. Our approach is based on active contours. U...
KDD
1997
ACM
13 years 11 months ago
1997
ACM
Many classification algorithms are designed to work with datasets that contain only discrete attributes. Discretization is the process of converting the continuous attributes of ...
ESA
2004
Springer
14 years 24 days ago
2004
Springer
The algorithms of computational geometry are designed for a machine model with exact real arithmetic. Substituting floating-point arithmetic for the assumed real arithmetic may c...
IROS
2008
IEEE
14 years 1 months ago
2008
IEEE
— KNTU CDRPM is a cable driven redundant parallel manipulator, which is under investigation for possible high speed and large workspace applications. This newly developed mechani...