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» Probability Models for High Dynamic Range Imaging
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IPSN
2004
Springer
15 years 3 months ago
Lattice sensor networks: capacity limits, optimal routing and robustness to failures
We study network capacity limits and optimal routing algorithms for regular sensor networks, namely, square and torus grid sensor networks, in both, the static case (no node failu...
Guillermo Barrenechea, Baltasar Beferull-Lozano, M...
EMMCVPR
2007
Springer
15 years 3 months ago
Bottom-Up Recognition and Parsing of the Human Body
Recognizing humans, estimating their pose and segmenting their body parts are key to high-level image understanding. Because humans are highly articulated, the range of deformation...
Praveen Srinivasan, Jianbo Shi
ICCV
1999
IEEE
15 years 11 months ago
United Snakes
Since their debut in 1987, snakes (active contour models) have become a standard image analysis technique with several variants now in common use. We present a framework called ``...
Jianming Liang, Tim McInerney, Demetri Terzopoulos
ICIAP
2001
Springer
15 years 2 months ago
A Neurodynamical Retinal Network Based on Reaction-Diffusion Systems
A dynamical model for retinal processing is presented. The model describes the output of retinal ganglion cells whose receptive field is composed of a center and a surround combi...
Matthias S. Keil, Gabriel Cristóbal, Heiko ...
BMCBI
2004
123views more  BMCBI 2004»
14 years 9 months ago
A two-way interface between limited Systems Biology Markup Language and R
Background: Systems Biology Markup Language (SBML) is gaining broad usage as a standard for representing dynamical systems as data structures. The open source statistical programm...
Tomas Radivoyevitch