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113
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JCNS
2010
104views more  JCNS 2010»
15 years 2 months ago
A new look at state-space models for neural data
State space methods have proven indispensable in neural data analysis. However, common methods for performing inference in state-space models with non-Gaussian observations rely o...
Liam Paninski, Yashar Ahmadian, Daniel Gil Ferreir...
148
Voted
CDC
2010
IEEE
169views Control Systems» more  CDC 2010»
14 years 10 months ago
Consensus-based distributed linear filtering
We address the consensus-based distributed linear filtering problem, where a discrete time, linear stochastic process is observed by a network of sensors. We assume that the consen...
Ion Matei, John S. Baras
119
Voted
ICRA
2009
IEEE
148views Robotics» more  ICRA 2009»
15 years 10 months ago
Graph-based robust shape matching for robotic application
— Shape is one of the useful information for object detection. The human visual system can often recognize objects based on the 2-D outline shape alone. In this paper, we address...
Hanbyul Joo, Yekeun Jeong, Olivier Duchenne, Seong...
140
Voted
CGI
2004
IEEE
15 years 7 months ago
Consistent Normal Orientation for Polygonal Meshes
In this paper, we propose a new method that can consistently orient all normals of any mesh (if at all possible), while ensuring that most polygons are seen with their front-faces...
Pavel Borodin, Gabriel Zachmann, Reinhard Klein
103
Voted
CORR
2008
Springer
98views Education» more  CORR 2008»
15 years 3 months ago
Picking up the Pieces: Self-Healing in Reconfigurable Networks
We consider the problem of self-healing in networks that are reconfigurable in the sense that they can change their topology during an attack. Our goal is to maintain connectivity...
Jared Saia, Amitabh Trehan