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CVIU
2007
193views more  CVIU 2007»
13 years 7 months ago
Interpretation of complex scenes using dynamic tree-structure Bayesian networks
This paper addresses the problem of object detection and recognition in complex scenes, where objects are partially occluded. The approach presented herein is based on the hypothe...
Sinisa Todorovic, Michael C. Nechyba
BMCBI
2006
122views more  BMCBI 2006»
13 years 7 months ago
A domain-oriented approach to the reduction of combinatorial complexity in signal transduction networks
Background:Receptors and scaffold proteins possess a number of distinct domains and bind multiple partners. A common problem in modeling signaling systems arises from a combinator...
Holger Conzelmann, Julio Saez-Rodriguez, Thomas Sa...
AAAI
2008
13 years 10 months ago
Reducing Particle Filtering Complexity for 3D Motion Capture using Dynamic Bayesian Networks
Particle filtering algorithms can be used for the monitoring of dynamic systems with continuous state variables and without any constraints on the form of the probability distribu...
Cédric Rose, Jamal Saboune, François...
PC
2010
111views Management» more  PC 2010»
13 years 6 months ago
Reducing complexity in tree-like computer interconnection networks
The fat-tree is one of the topologies most widely used to build high-performance parallel computers. However, they are expensive and difficult to build. In this paper we propose t...
Javier Navaridas, José Miguel-Alonso, Franc...
GLOBECOM
2009
IEEE
13 years 5 months ago
A Low-Complexity Algorithm for Uplink Scheduling in Cooperative Cellular Networks with a Capacity-Constrained Backhaul Infrastru
Today, it is well understood that interference poses the main capacity limitation and thus challenge for future cellular networks. A promising concept that addresses interference i...
Fabian Diehm, Patrick Marsch, Gerhard Fettweis, Bh...