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MA
2011
Springer
193views Communications» more  MA 2011»
14 years 10 months ago
Spatial autoregressive and moving average Hilbertian processes
Since the initial work on spatial statistical models developed in Bhattacharyya, Khalil and Richardson (1996), Basu and Reinsel (1993), Güyon (1995), Martin (1979, 1990, 1996), Ja...
María Dolores Ruiz-Medina
ECUMN
2004
Springer
15 years 7 months ago
Multi-time-Scale Traffic Modeling Using Markovian and L-Systems Models
Traffic engineering of IP networks requires the characterization and modeling of network traffic on multiple time scales due to the existence of several statistical properties that...
Paulo Salvador, António Nogueira, Rui Valad...
CCS
2009
ACM
16 years 4 months ago
Universally composable contributory group key exchange
We treat the security of group key exchange (GKE) in the universal composability (UC) framework. Analyzing GKE protocols in the UC framework naturally addresses attacks by maliciou...
M. Choudary Gorantla, Colin Boyd, Juan Manuel Gonz...
CVPR
2000
IEEE
16 years 5 months ago
Learning in Gibbsian Fields: How Accurate and How Fast Can It Be?
?Gibbsian fields or Markov random fields are widely used in Bayesian image analysis, but learning Gibbs models is computationally expensive. The computational complexity is pronoun...
Song Chun Zhu, Xiuwen Liu
NIPS
1997
15 years 5 months ago
Graph Matching with Hierarchical Discrete Relaxation
Our aim in this paper is to develop a Bayesian framework for matching hierarchical relational models. Such models are widespread in computer vision. The framework that we adopt fo...
Richard C. Wilson, Edwin R. Hancock