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TPDS
2008
136views more  TPDS 2008»
13 years 8 months ago
Data Gathering with Tunable Compression in Sensor Networks
We study the problem of constructing a data gathering tree over a wireless sensor network in order to minimize the total energy for compressing and transporting information from a ...
Yang Yu, Bhaskar Krishnamachari, Viktor K. Prasann...
IJON
2010
189views more  IJON 2010»
13 years 7 months ago
Inference and parameter estimation on hierarchical belief networks for image segmentation
We introduce a new causal hierarchical belief network for image segmentation. Contrary to classical tree structured (or pyramidal) models, the factor graph of the network contains...
Christian Wolf, Gérald Gavin
INFOCOM
2009
IEEE
14 years 3 months ago
Minimizing Probing Cost for Detecting Interface Failures: Algorithms and Scalability Analysis
— The automatic detection of failures in IP paths is an essential step for operators to perform diagnosis or for overlays to adapt. We study a scenario where a set of monitors se...
Hung Xuan Nguyen, Renata Teixeira, Patrick Thiran,...
DGCI
2005
Springer
14 years 2 months ago
Uncertain Geometry in Computer Vision
Abstract. We give an overview of the main ideas and tools that have been employed in uncertain geometry. We show how several recognition problems in computer vision can be translat...
Peter Veelaert
PAMI
2006
117views more  PAMI 2006»
13 years 8 months ago
Metric Learning for Text Documents
High dimensional structured data such as text and images is often poorly understood and misrepresented in statistical modeling. The standard histogram representation suffers from ...
Guy Lebanon