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ICB
2009
Springer
173views Biometrics» more  ICB 2009»
15 years 4 months ago
Bayesian Networks to Combine Intensity and Color Information in Face Recognition
We present generative models dedicated to face recognition. Our models consider data extracted from color face images and use Bayesian Networks to model relationships between diffe...
Guillaume Heusch, Sébastien Marcel
203
Voted
SODA
2012
ACM
225views Algorithms» more  SODA 2012»
13 years 9 months ago
Approximating rooted Steiner networks
The Directed Steiner Tree (DST) problem is a cornerstone problem in network design. We focus on the generalization of the problem with higher connectivity requirements. The proble...
Joseph Cheriyan, Bundit Laekhanukit, Guyslain Nave...
ICPR
2008
IEEE
16 years 8 months ago
Visual features with semantic combination using Bayesian network for a more effective image retrieval
In many vision problems, instead of having fully annotated training data, it is easier to obtain just a subset of data with annotations, because it is less restrictive for the use...
Sabine Barrat, Salvatore Tabbone
DAC
2003
ACM
16 years 7 months ago
Random walks in a supply network
This paper presents a power grid analyzer based on a random walk technique. A linear-time algorithm is first demonstrated for DC analysis, and is then extended to perform transien...
Haifeng Qian, Sani R. Nassif, Sachin S. Sapatnekar
ICCAD
2008
IEEE
161views Hardware» more  ICCAD 2008»
16 years 3 months ago
A low-overhead fault tolerance scheme for TSV-based 3D network on chip links
— Three-dimensional die stacking integration provides the ability to stack multiple layers of processed silicon with a large number of vertical interconnects. Through Silicon Via...
Igor Loi, Subhasish Mitra, Thomas H. Lee, Shinobu ...