270 search results - page 49 / 54 » On Modeling Variations for Face Authentication |
162
Voted
ICCV
2009
IEEE
16 years 10 months ago
2009
IEEE
2D Active Appearance Models (AAM) and 3D Morphable
Models (3DMM) are widely used techniques. AAM
provide a fast fitting process, but may represent unwanted
3D transformations un...
164
Voted
TCSV
2008
15 years 5 months ago
2008
Conventional subspace learning or recent feature extraction methods consider globality as the key criterion to design discriminative algorithms for image classification. We demonst...
144
Voted
ISQED
2009
IEEE
16 years 19 days ago
2009
IEEE
—As device feature size continues to shrink, reliability becomes a severe issue due to process variation, particle-induced transient errors, and transistor wear-out/stress such a...
175
Voted
INFOCOM
2012
IEEE
13 years 8 months ago
2012
IEEE
—In this paper we develop an adaptive learning algorithm which is approximately optimal for an opportunistic spectrum access (OSA) problem with polynomial complexity. In this OSA...
191
click to vote
ICCS
2007
Springer
15 years 12 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...