6 search results - page 1 / 2 » On the advantages of subspace tracking for temporal updating |
ISSPIT
2010
12 years 11 months ago
2010
When doing parameter estimation, ESPRIT is an often used algorithm. As input, ESPRIT needs the eigenvectors of the signal subspace. These can be generated by an eigenvalue decompos...
ICIP
2005
IEEE
14 years 6 months ago
2005
IEEE
Robustly tracking moving objects in video sequences is one of the key problems in computer vision. In this paper we introduce a computationally efficient nonlinear kernel learning...
IJON
2010
13 years 3 months ago
2010
In this paper, we propose an object tracking framework based on a spatial pyramid heat kernel structural information representation. In the tracking framework, we take advantage o...
ICCS
2007
Springer
13 years 11 months ago
2007
Springer
We present a Dynamic Data Driven Application System (DDDAS) to track 2D shapes across large pose variations by learning non-linear shape manifold as overlapping, piecewise linear s...
ECAI
2006
Springer
13 years 8 months ago
2006
Springer
Abstract. We formulate the problem of least squares temporal difference learning (LSTD) in the framework of least squares SVM (LS-SVM). To cope with the large amount (and possible ...