2512 search results - page 145 / 503 » Learning from Highly Structured Data by Decomposition |
100
click to vote
ICCV
2001
IEEE
16 years 23 hour ago
2001
IEEE
This paper deals with the problem of incorporating natural regularity conditions on the motion in an MAP estimator for structure and motion recovery from uncalibrated image sequen...
PG
2002
IEEE
15 years 3 months ago
2002
IEEE
We present the light field oracle, a novel mathematical concept for the acquisition, processing and representation of light fields. We first compute a hierarchical representati...
CVPR
2007
IEEE
16 years 3 days ago
2007
IEEE
The success of tensor-based subspace learning depends heavily on reducing correlations along the column vectors of the mode-k flattened matrix. In this work, we study the problem ...
69
Voted
MICCAI
2008
Springer
15 years 11 months ago
2008
Springer
We study the problem of classifying an autistic group from controls using structural image data alone, a task that requires a clinical interview with a psychologist. Because of the...
ICPR
2006
IEEE
15 years 11 months ago
2006
IEEE
Analysis of video data usually requires training classifiers in high dimensional feature spaces. This paper proposes a layered Gaussian mixture model (LGMM) to exploit high dimens...