1918 search results - page 244 / 384 » Embedding Data in 3D Models |
101
Voted
ETS
2006
IEEE
15 years 6 months ago
2006
IEEE
In this paper we address the test scheduling problem for Builtin Self-tested (BISTed) embedded SRAMs (e-SRAMs) when Data Retention Faults (DRFs) are considered. The proposed test ...
129
Voted
CVPR
2009
IEEE
16 years 7 months ago
2009
IEEE
Latent Variable Models (LVM), like the Shared-GPLVM
and the Spectral Latent Variable Model, help mitigate over-
fitting when learning discriminative methods from small or
modera...
86
Voted
ICML
2010
IEEE
15 years 1 months ago
2010
IEEE
Deep learning has been successfully applied to perform non-linear embedding. In this paper, we present supervised embedding techniques that use a deep network to collapse classes....
115
click to vote
CVPR
2008
IEEE
16 years 2 months ago
2008
IEEE
In this paper, we propose a framework that fuses multiple features for improved action recognition in videos. The fusion of multiple features is important for recognizing actions ...
105
Voted
DATE
1999
IEEE
15 years 4 months ago
1999
IEEE
This paper proposes a methodology to evaluate the effects of encodings on the power consumption of system-level buses in the presence of multi-level cache memories. The proposed m...