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TWC
2008
145views more  TWC 2008»
15 years 7 months ago
Robust Optimization Models for Energy-Limited Wireless Sensor Networks under Distance Uncertainty
The distance between nodes in a wireless sensor network (WSN) is an important factor in the performance that can be extracted from the network for many tasks. However, the distanc...
Wei Ye, Fernando Ordóñez
PAMI
2007
155views more  PAMI 2007»
15 years 6 months ago
Localization of Shapes Using Statistical Models and Stochastic Optimization
—In this paper, we present a new model for deformations of shapes. A pseudolikelihood is based on the statistical distribution of the gradient vector field of the gray level. The...
François Destrempes, Max Mignotte, Jean-Fra...
ADC
2010
Springer
204views Database» more  ADC 2010»
15 years 2 months ago
Systematic clustering method for l-diversity model
Nowadays privacy becomes a major concern and many research efforts have been dedicated to the development of privacy protecting technology. Anonymization techniques provide an eff...
Md. Enamul Kabir, Hua Wang, Elisa Bertino, Yunxian...
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TSP
2010
15 years 2 months ago
Learning Gaussian tree models: analysis of error exponents and extremal structures
The problem of learning tree-structured Gaussian graphical models from independent and identically distributed (i.i.d.) samples is considered. The influence of the tree structure a...
Vincent Y. F. Tan, Animashree Anandkumar, Alan S. ...
ICCV
2011
IEEE
14 years 7 months ago
Perturb-and-MAP Random Fields: Using Discrete Optimization\\to Learn and Sample from Energy Models
We propose a novel way to induce a random field from an energy function on discrete labels. It amounts to locally injecting noise to the energy potentials, followed by finding t...
George Papandreou, Alan L. Yuille