1099 search results - page 44 / 220 » Factored sequence kernels |
SLSFS
2005
Springer
15 years 3 months ago
2005
Springer
Abstract. Matrix factorization is a fundamental building block in many computer vision and machine learning algorithms. In this work we focus on the problem of ”structure from mo...
IEEEMSP
2002
IEEE
15 years 2 months ago
2002
IEEE
—Matrix factorization methods are now widely used to recover 3D structure from 2D projections [1]. In practice, the observation matrix to be factored out has missing data, due to...
UAI
2004
14 years 11 months ago
2004
This paper uses Factored Latent Analysis (FLA) to learn a factorized, segmental representation for observations of tracked objects over time. Factored Latent Analysis is latent cl...
CVPR
2004
IEEE
15 years 11 months ago
2004
IEEE
Multibody factorization algorithms [2, 1, 16] give an elegant and simple solution to the problem of structure from motion even for scenes containing multiple independent motions. ...
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IPPS
2010
IEEE
14 years 7 months ago
2010
IEEE
To exploit the potential of multicore architectures, recent dense linear algebra libraries have used tile algorithms, which consist in scheduling a Directed Acyclic Graph (DAG) of...