1099 search results - page 44 / 220 » Factored sequence kernels |
134
Voted
SLSFS
2005
Springer
15 years 9 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...
98
Voted
IEEEMSP
2002
IEEE
15 years 8 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...
150
Voted
UAI
2004
15 years 4 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...
129
Voted
CVPR
2004
IEEE
16 years 5 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. ...
163
Voted
IPPS
2010
IEEE
15 years 1 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...