629 search results - page 73 / 126 » Large Scale Learning of Active Shape Models |
107
click to vote
NIPS
2000
14 years 11 months ago
2000
We present methods for learning and tracking human motion in video. We estimate a statistical model of typical activities from a large set of 3D periodic human motion data by segm...
ICML
2008
IEEE
15 years 10 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 ...
ICML
2005
IEEE
15 years 10 months ago
2005
IEEE
We present a novel algorithm for computing a training set consistent subset for the nearest neighbor decision rule. The algorithm, called FCNN rule, has some desirable properties....
JSW
2007
14 years 9 months ago
2007
— In this paper, we present our approach to describe and compose services for distant learning and research activities. For this purpose, we propose a metadata model for indexing...
NDSS
2006
IEEE
15 years 3 months ago
2006
IEEE
Time zones play an important and unexplored role in malware epidemics. To understand how time and location affect malware spread dynamics, we studied botnets, or large coordinated...