6113 search results - page 79 / 1223 » Learning Features for Tracking |
FGR
2011
IEEE
13 years 2 months ago
2011
IEEE
— Many modern computer vision algorithms are built atop of a set of low-level feature operators (such as SIFT [1], [2]; HOG [3], [4]; or LBP [5], [6]) that transform raw pixel va...
ICML
2004
IEEE
14 years 11 months ago
2004
IEEE
Text categorization algorithms usually represent documents as bags of words and consequently have to deal with huge numbers of features. Most previous studies found that the major...
ECCV
2002
Springer
15 years 3 days ago
2002
Springer
This paper shows how the output of a number of detection and tracking algorithms can be fused to achieve robust tracking of people in an indoor environment. The new tracking system...
AUTOMATICA
2005
13 years 10 months ago
2005
In iterative learning control schemes for linear discrete time systems, conditions to guarantee the monotonic convergence of the tracking9 error norms are derived. By using the Ma...
COLT
2007
Springer
14 years 4 months ago
2007
Springer
We describe and analyze a new approach for feature ranking in the presence of categorical features with a large number of possible values. It is shown that popular ranking criteria...