676 search results - page 31 / 136 » Sub-stochastic matrix analysis for bounds computation - Theo... |
ICML
2004
IEEE
14 years 8 months ago
2004
IEEE
Principal component analysis (PCA) is a widely used statistical technique for unsupervised dimension reduction. K-means clustering is a commonly used data clustering for unsupervi...
AAAI
1994
13 years 8 months ago
1994
We analyze the amount of information needed to carry out model-based recognition tasks, in the context of a probabilistic data collection model, and independently of the recogniti...
ICCV
2009
IEEE
15 years 11 days ago
2009
IEEE
We study the problem of estimating the epipolar geometry
from apparent contours of smooth curved surfaces
with affine camera models. Since apparent contours are
viewpoint depend...
ICCV
1995
IEEE
13 years 11 months ago
1995
IEEE
The fundamental matrix is a basic tool in the analysis of scenes taken with two uncalibrated cameras, and the 8-point algorithm is a frequently cited method for computing the fund...
ECCV
2008
Springer
13 years 8 months ago
2008
Springer
—This paper presents a fast part-based subspace selection algorithm, termed the binary sparse nonnegative matrix factorization (B-SNMF). Both the training process and the testing...